@taskmaster4450le "Here is the daily technology #threadcast for 11/10..."

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Here is the daily technology #threadcast for 11/10/24. The goal is to make this a technology "reddit".

Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.

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Polosukhin said he hasn’t spoken with existing projects like the Artificial Superintelligence Alliance but would be happy to see if there are synergies. Whatever happens, he said decentralized AI technology must win for all our sake. Conference guest speaker Edward Snowden rammed home the point by painting a scary portrait of centralized AI turning the world into a giant surveillance state.

The government awarded GlobalFoundries $1.5 billion to construct a new semiconductor fab in New York and help expand the company's Vermont operations. Meanwhile, TSMC secured a $6.6 billion grant and a $5 billion loan to build a fab for 2nm chips in Arizona.

“It tells you that the fact is, what we do, what our purpose is in the Democratic Party, is for America’s working families,” she added.

“For example, under President Biden, you see the rescue package, money in the pockets of people, shots in the arm, children in school safely, working people back to work.”

Pelosi took aim at President-elect Trump, as the octogenarian seemingly forgot his name for a moment.

Big history started with the Alpha Point, be it the Big Bang or Big Bounce, and resembles a huge ongoing evolutionary computing program running on the universal computer of sorts. As a rule, which I refer to as ‘Universal Evolutionary Doubling Algorithm,’ or simply ‘Exponential Evolution,’ the pace of any evolutionary process always quickens It took billions of years since the Big Bang for Earth to form. It took two billion more for unicellular life to “warm up” for the next phase of multicellularity about 550 million years ago. Mammals inherited Earth some 65 million years ago. With the emergence of primates, evolutionary progress was measured in mere millions of years, leading to Homo sapiens some 300,000 years ago.

In the 60s and 70s, adult movie theaters provided increasingly public spaces for people to see pornographic materials, resulting in a series of court cases that had significant ramifications for the legal separation of the public and private spheres. Although it is still in its early stages, Erin Barry’s research has already brought up some interesting questions regarding the limits of freedom of speech, the division between public and private spaces, and the government’s relationship to its citizens’ sexuality.

At the core of AI-based search is the ability to interact with the machines and algorithms leveraging data in a natural way. NLP, or natural language processing, provides the ability for machines to interact with human language without sacrificing all the complexity and diversity that language and speech provide. With NLP computers can detect patterns and similarity of words within language and use that to provide more relevant responses. Take for example something as simple as how we describe things in the English language. I can use the same word to mean two very different things, “My dinner was salty” means something very different compared to “Jane was acting very salty”. The word salty in these two contexts are very different, NLP provides the ability for computers to provide discernment on what is actually being stated and requested.

Despite the work evolving, Matias said that AI isn't taking over the whole coding process. Even though Google and Alphabet CEO Sundar Pichai said that a quarter of all code is now generated by AI, he also noted it's still reviewed and accepted by engineers.

Matias said hestill believes "everybody should learn how to code." In fact, the basics may be more important now than ever, he said.

"Perhaps even more so now, there are going to be many more opportunities to actually build on that," Matias said.

The Chips Act has boosted American electronics investments to historic highs. The country currently produces none of the world's advanced semiconductors but could supply at least 20 percent by the decade's end. However, an analysis earlier this year found that around 40 percent of the funding has suffered delays, some of them indefinite. Intel announced its award in March, but none of the money has reached the company yet.

Decentralized AI tackles privacy issues
To train such a large model, the project would need “tens of thousands of GPUs in one place,” which wouldn’t be ideal. But to use a decentralized network of compute “you’d need a new technology that doesn’t exist today because all the distributed training techniques we have require very fast interconnect.” However, he added that emerging research from Deep Mind suggests it is possible.

The US has spent the last two years preparing to award chipmakers billions to help boost the country's domestic semiconductor industry, which has lagged behind nations like Taiwan and South Korea. The US government is negotiating the last of the subsidies as the incoming Trump administration threatens the policy's future.

Mutated BCL6 proteins block a signal that should normally bring cancerous cells to activate apoptosis. Traditional, non-destructive cancer treatments have been targeting oncogenes to try and shut the cancer down, while the new study proposes a mechanism to exploit them instead. "You take something that the cancer is addicted to for its survival and you flip the script and make that be the very thing that kills it," Crabtree said.

The team is now testing the molecule on mice affected by diffuse large B-cell lymphomas, to see if the method is effective at killing cancer in living animals. The technique relies on the natural supply of BCL6 and CDK9 in cells, which means it will likely work only on cancerous lymphomas. After testing the new molecule with 859 different types of cancer cells in the lab, the researchers confirmed that it was able to kill only diffuse large cell B-cell lymphoma cells.

The roots of First Principles Thinking sit deep, tracing back to none other than Aristotle, the ancient Greek philosopher. Aristotle’s exploration of this concept in his work, “Metaphysics,” laid the groundwork for study of critical thinking and analysis. He proposed that understanding anything in its most basic form involves identifying its “first causes” or “principles” — the fundamental truths or building blocks from which everything else is derived.

Despite its ancient origins, the concept of First Principles Thinking was cast into the modern spotlight by innovators like Elon Musk, who has often spoken about its role in his approach to problem-solving and innovation. Musk’s discussions around the concept have brought it into the contemporary discourse, highlighting its relevance and applicability to solving complex problems and fostering innovation in today’s technology-driven world. It encourages us to strip away accumulated knowledge and assumptions — often taken for granted — to revisit the very foundations upon which our understanding is built. This approach doesn’t just apply to scientific inquiry or technological innovation; it extends to any domain where complex problems exist and where innovative solutions are sought.

While AI hype at the moment is concentrated on model and AI-native companies, AI use cases among non-AI-native companies within the “long tail” are growing more prominent and commonplace, ranging from customer service chatbots to augmented reality shopping experiences. Given the pace of AI innovation, we believe the easiest way to understand how companies in the long tail are using AI is by grouping their use cases into one of four layers that we outlined in this deep dive: custom models, closed-source models, open-source models, and third-party AI tools.

Michael Saylor’s MicroStrategy (MSTR) began accumulating BTC in 2020 and never looked back, transforming the get-along software company into a top-performing equity investment of the past two bull cycles in the process.

Despite reporting substantial losses every quarter in 2024, MSTR is still handily outperforming BTC, up an additional 200% on the year-to-date basis after parabolically doubling in price since September!

Shortly after Denmark has allowed picture porn also follows countries such as Germany, the USA and Sweden, and from the mid-70s the train leaves us so small, even though Theander brothers still produce lots and ship abroad.

  • In the late 70 ’ we have been run over and are no longer a big player in the market, I think. The epoch is over.

Ethical Considerations Surrounding AI GF Chatbots
As AI GF chatbots become more prevalent, ethical considerations come to the forefront. Users often form emotional attachments to these digital companions, leading to questions about consent and authenticity.

Privacy is another key concern. Many chatbots collect personal data to enhance user experience. This raises issues about how that information is stored and used.

Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and put on a firm footing by Claude Shannon in the 1940s,[1] though early contributions were made in the 1920s through the works of Harry Nyquist and Ralph Hartley. It is at the intersection of electronic engineering, mathematics, statistics, computer science, neurobiology, physics, and electrical engineering

Let’s face it— we’re in a marketing battleground. Your business is only one of the hundreds or even thousands competing for your customer’s attention. If your goal is to win the war for attention, you need to differentiate yourself in a way that actually matters to your customers.

While this sounds obvious, it’s not. All too often, businesses assume they understand what is important for their customers.

Financial crises, twice in so many decades, have exposed our monetary hardwiring as a critical issue of governance. That circuitry starts with a public unit – the dollar -- created and backed by the federal government, but it appoints commercial banks to amplify and spread that money at the retail level. The design does more than delegate distribution to banks. By privileging banks as money creators, it also enables them to determine distribution. Operating according to criteria that are privately determined, banks decide which recipients will benefit from the expansion of a medium that is public. The process is clearly discriminatory.

The hybrid state at the monetary core of the market has never been justified according to democratic criteria. Retail banks prevailed in their partnership with the state because they had strategic advantages in creating credit money, not because they were experts in allocating that medium fairly or most efficiently. That history, recovered here, was lost to an economic narrative that located banks as intermediaries vetted by the competitive marketplace. Public spending does not dilute the problem; all such spending occurs through the same banked conduits.

“You can learn how something can be done and then go back to first principles and ask yourself, ‘Given the conditions today, given my motivation, given the instruments, the tools, given how things have changed, how would I redo this? How would I reinvent this whole thing?’”

Jensen Huang, founder and CEO of NVIDIA, started his career washing dishes at Denny’s. He then worked his way to busboy and eventually founded what is one of today’s most valuable companies. In this interview at Stanford GSB’s View From The Top event, founder and CEO Jensen Huang shares the stage with Shantam Jain, MBA ’24, to detail his experience founding NVIDIA, funding it, and finally, his views on AI.

The Alabama Bureau of Investigation is leading the investigation into the shooting.

Tuskegee University is located about 39 miles east of Montgomery, Ala.

It was not immediately known how many shooters there were. No arrests had been made as of Sunday morning.

Michalski remained in Hungary for a final night while Gretchen Tower moved on to visit some friends in Italy, the grieving friend told WKBW.

The duo remained in communication until shortly after midnight Tuesday. Michalski then failed to check out of her Airbnb or make her flight back to the US — prompting Tower to call the US Embassy.

At a candlelight vigil in Budapest Saturday, Michalski’s father Bill said she had visited Budapest before, and called it her “happy place.”

Schumer’s office did not immediately respond to an inquiry from The Post.

A children’s activity book featuring a character created by the Palestinian cartoonist Naji al-Ali was handed out on Saturday amid speeches from organizers who refused to identify themselves.

The workbook was created by the Palestinian Feminist Collective, one of the radical organizations highlighted in a recent report by the Network Contagion Research Institute and the advocacy group New York City Public School Alliance.

The report outlined the PFC’s pushing of resources allegedly linked to the Popular Front for the Liberation of Palestine, a US-designated terrorist organization.

If the sex pest once known as “Carlos Danger” during his sexcapades does give politics another go, he would vie for the seat of Council Member Carlina Rivera, which will be open after her term ends in 2025.

Weiner did acknowledge Saturday that his personal baggage might hamper his odds.

Volatility Models are dependent upon how you are measuring volatility. Do you define that as close to close, from last night’s close to the morning open, or do you measure volatility as the percentage movement that day between the high and the low? Illustrated above in Figure #6 we have plotted these three main types of volatility so you can see there is a huge difference. Obviously, the definition of volatility being plotted and forecast can be correct in one manner and a non-event in another. It all depends upon your definition.

There is overnight volatility reflected in the percentage movement from the previous session closing to the current session opening. Then there is intraday volatility measured by the distance between the high and low of the trading session. Then there is closing volatility from one session to the next. We can see that these three perspectives alone provide completely different forecasts.

Rep. Nancy Pelosi, California Democrat, blamed President Biden for Tuesday’s blowout loss because of his late exit from the race in July.

She argued that if Democrats had an open primary to find a new party nominee, the election outcome might have been different.

According to most of the sources, no one in the FBI at a GS-14 level or higher is safe from losing their job after Mr. Trump is sworn in, and they fully expect the president-elect to “smash the place to pieces when he gets in,” and that it will be a “bloodbath.”

Former FBI whistleblower George Hill told The Washington Times that people in the agency say the current state of the FBI is “frazzled.”

Mr. Trump’s firing of Mr. Comey in 2017 raised suspicions in the Justice Department that the president was obstructing justice, leading to special counsel Robert Mueller’s long-running and costly probe, which eventually found no evidence that Trump campaign officials conspired with or were connected to Moscow.

A subsequent government watchdog investigation found that FBI officials made numerous errors or omissions in secret warrant applications for surveillance of a Trump campaign aide.

Following the high court’s decision, Mr. Strand said, U.S. District Judge Christopher Reid Cooper claimed he would have sentenced him to one year in prison anyway, even without the felony conviction. Judge Cooper is an Obama appointee.

“[Judge Cooper] said, if the felony had not been there, but I’d gone to trial, he would have sentenced me to 12 months on a first-time nonviolent misdemeanor,” he said in a phone interview. “That’s not just crazy. That’s like 10 times crazy.”

During a portion of his prison sentence at the Miami facility, Mr. Strand was placed in solitary in the isolation unit.

“It’s like a giant steel, rusted red, brownish color. Everything else in the cell is concrete, so it’s all grayish, ugly and depressing…and you’re reduced to a pulse and almost nothing else,” he said.

Prison policy dictates that those locked up in solitary confinement must be granted one hour of “recreation time” or outdoor time per day, but Mr. Strand says they violated their own policy at the Miami facility.

Implications of Bitcoin’s Surging Mining Difficulty
Meanwhile, Bitcoin appears set to enter a bull run cycle for the rest of 2024 and beyond. This is evidenced in Bitcoin’s ability to hit new highs in mining difficulty. Simply put, mining difficulty measures the difficulty of solving the complex cryptographic puzzles used in the mining process.

This recent surge suggests miners will need to work harder to mine Bitcoin. Consequently, only the strongest and most efficient operators in the industry will get involved in securing the network.

As of this writing, the BTC price was $76,355, down 0.13% over the last 24 hours. Still, following Trump’s election victory, a Bitcoin target of $120,000 and beyond in the coming weeks seems more likely.

Dillon said “Joker 2” “has no plot” and recalled realizing the movie was going to bomb while he was on set.

“We would sit there, me and these other guys were all dressed in these security outfits because we’re working at the Arkham Asylum, and I would turn to one of them and we’d hear this crap and I’d go, ‘What the f— is this?’ ” he shared. “And they’d go, ‘This is going to bomb, man.’ I go, ‘This is the worst thing I’ve ever seen.’

Then, on October 19, Voyager 1 fell silent again. The team speculated that the probe might have completely turned off its X-band transmitter in favor of a backup S-band radio transmitter, which operates at a much lower frequency of two to four gigahertz—an instrument it hadn’t used in 43 years. Communicating on the S-band uses less power, but its signal is also fainter, so if that was the case, NASA scientists weren’t sure whether they’d be able to detect it from Earth. Coupled with the fact that Voyager 1 is much farther away now than it was when it last used the S-band in the ’80s, finding the signal could have been a difficult task.

First Principles Thinking is a philosophical approach that involves breaking down complex problems into their most basic components. It’s about getting to the ‘first principles’ or the foundational truths of a problem or situation, then reconstructing it from the ground up. This methodology encourages us to question assumptions, rethink norms, and explore new possibilities that aren’t bound by existing models or beliefs.

As World War II raged on, delegates from 44 Allied nations gathered at a hotel in Bretton Woods, N. H., to lay out foundations for the reconstruction of the international financial system. The hope was to prevent a repetition of competitive devaluations in the 1930s and to create a stable economic and financial environment for nations to operate in. This resulted in an agreement for countries to fix their exchange rates to the U.S. dollar and the U.S. to peg the dollar to gold.

Information theory studies the transmission, processing, extraction, and utilization of information. Abstractly, information can be thought of as the resolution of uncertainty. In the case of communication of information over a noisy channel, this abstract concept was formalized in 1948 by Claude Shannon in a paper entitled A Mathematical Theory of Communication, in which information is thought of as a set of possible messages, and the goal is to send these messages over a noisy channel, and to have the receiver reconstruct the message with low probability of error, in spite of the channel noise. Shannon's main result, the noisy-channel coding theorem, showed that, in the limit of many channel uses, the rate of information that is asymptotically achievable is equal to the channel capacity, a quantity dependent merely on the statistics of the channel over which the messages are sent

Crypto x AI can give rise to the “Agentic Web”, a transformative paradigm in which AI agents operating on crypto infrastructure rails can become significant drivers of economic activity and growth. We predict a future where agents will have their own crypto wallets to autonomously transact and fulfill user intents, access lower-cost, decentralized compute and data resources, or leverage stablecoins to pay humans and other agents to complete tasks necessary for their overall objective function.

However, it was Ole Ege who almost made her world famous in a movie where she rides naked, masturbates on a horse, and has sex with various animals. The film won an award at the first porn film festival in Amsterdam in 1970, and it made Denmark known for now also doing animal sex.

  • There were also many tourists who came to the country to experience Bodil's live shows on her farm in Odsherred, and she probably became the biggest porn star we had in those years.

Central banks do not control the creation or destruction of money

Central banks are not central to our financial system

Central banks are effective when they can prod & coerce people & institutions to act in an ordained way

Central bankers mostly just push wet spaghetti around

Central bankers are the man behind the curtain from the Wizard of Oz. If/when the world wakes up to this fact there will be a great deal of volatility

“We didn’t design them to last 30 years or 40 years, we designed them not to fail,” John Casani, Voyager project manager from 1975 to 1977, says in a NASA statement.

In 2012, Voyager 1 became the first spacecraft to cross out of the heliosphere—a sort of bubble surrounding the solar system filled with the solar magnetic field and solar wind—making it the first spacecraft to enter interstellar space. Voyager 2 reached the cosmic milestone six years later.

Here’s a question: who creates money?

If you answered the Federal Reserve, I’m sorry but you’re going to have to repeat the 4th grade. Commercial banks create money. This system of money creation has an inherent advantage that the gold standard lacks: flexibility. Banks can create more $$$ when demand for money is strong, spurring economic growth. If demand for $$$ is sluggish, banks won’t loan. Alternatively, there may be a lot of money demand but banks still won’t lend for a multitude of reasons. That’s a rabbit hole too deep for the purposes of this article…

The Number and Types of Agents in Artificial Intelligence
There are five different types of intelligent agents used in AI. They are defined by their range of capabilities and intelligence level:

Reflex Agents: These agents work here and now and ignore the past. They respond using the event-condition-action rule. The ECA rule applies when a user initiates an event, and the Agent turns to a list of pre-set conditions and rules, resulting in pre-programmed outcomes.
Model-based Agents: These agents choose their actions like reflex agents do, but they have a better comprehensive view of the environment. An environmental model is programmed into the internal system, incorporating into the Agent's history.

Goal-based agents: These agents build on the information that a model-based agent stores by augmenting it with goal information or data regarding desirable outcomes and situations.
Utility-based agents: These are comparable to the goal-based agents, except they offer an extra utility measurement. This measurement rates each possible scenario based on the desired result and selects the action that maximizes the outcome. Rating criteria examples include variables such as success probability or the number of resources required.
Learning agents: These agents employ an additional learning element to gradually improve and become more knowledgeable over time about an environment. The learning element uses feedback to decide how the performance elements should be gradually changed to show improvement.

MicroStrategy became the first publicly traded company to implement a BTC treasury strategy with its purchase of 21,454 tokens for $250M announced back in August 2020, an initial investment that has returned nearly 500% during its 4-year lifespan.

As of September 2024, MicroStrategy holds 252,220 bitcoin.

Although MicroStrategy has retained its status a BTC behemoth among direct corporate holders, the introduction of spot BTC ETFs in January 2024 reshaped the top holder landscape, supplanting MicroStrategy with BlackRock as the fourth largest entity to hold BTC behind Binance, Satoshi, and Coinbase.

Google's head of research told BI that learning to code continues to be a valuable skill.
Yossi Matias compared coding to math and said learning "basic disciplines" is "as important as ever."
He also said people should remember AI isn't just in chatbots — and it's going to transform a number of fields.
Recommended articles

AI will impact a wide range of fields
Matias said that even those who don't want to become software engineers should understand how technology works,similar to how people still need to understand math even if computers can do the most complex calculations.

"I think that basic coding is like basic math," Matias said. "You need to understand what's going on there."

While the launch of ChatGPT two years ago ignited the generative AI race and made the technology a mainstream topic, AI research has been a cornerstone of tech giants like Google for over 20 years.

Matias said that AI will boost practically every field, especially biology, chemistry, and medicine. He said it's becoming "both a tool and a science."

Scout plans to begin producing up to 200,000 EV trucks and SUVs annually starting in 2027 from its $2 billion South Carolina plant, which is under construction. The automaker disclosed on Thursday that it will offer extended-range variants that include a small gasoline engine.

"With this award, the 3D-Audio program continues to be a significant cornerstone of our offerings to meet the demand for best-in-class audio systems from the global community," said Rob Strasser, Vice President of Terma Self-Protection Systems.

The deal comes at a time when the US and other allies have accelerated training Ukrainian pilots on F-16s due to Kyiv's pressing need for air defense against intensifying Russian bombardments. Keeping pilots operating at peak awareness is critical to ensuring mission success and getting them home safely.

Push all decisions to the lowest effective level (subsidiarity): Local entities must control their economic destiny unless demonstrably necessary to elevate to a higher level.

Require radical transparency by default: Organizations wielding significant economic power must operate transparently with increasing disclosure requirements as their influence grows.

End the socialization of private risk: Entities pursuing private gain must internalize their risks rather than offloading consequences onto society.

The third theme is about what happens when so much consumption moves to networks. Historically, most media distribution was one-way. It was delivered to consumers and there wasn't much of a feedback mechanism. But of course, today, most consumption happens on two-way networks. And the most important thing about networks is that they're subject to these really powerful positive feedback loops that make the strong, stronger. There's both a supply-side and a demand-side dynamic here.

The third theme is about what happens when so much consumption moves to networks. Historically, most media distribution was one-way. It was delivered to consumers and there wasn't much of a feedback mechanism. But of course, today, most consumption happens on two-way networks. And the most important thing about networks is that they're subject to these really powerful positive feedback loops that make the strong, stronger. There's both a supply-side and a demand-side dynamic here.

This is a movie called Where the Robots Grow. It is billing itself as the first AI-enabled feature length animation, created by a studio called AiMation, and is 87 minutes long. They say that the team is only nine people, and it only cost $8,000 per minute. Of course, those are fractions of the labor and cost of a traditional animated production. One thing they very cleverly did is they use robots, so lip syncing is not that important. Is it Pixar? No. But might it be really entertaining if you're five or six? Yeah. And clearly we're getting closer. It's streaming for free on YouTube, and I encourage you to check it out.

Rumors said Elon Musk bought Ford, but Ford denied it. The rumors started from AI videos with no sources. Musk is busy with Tesla and SpaceX. This is the problem I have with AI, it can create confusion like this

Hallucinations are still an issue. We have to check things. That is why smaller models might be a bit more accurate.

That said, I believe the next generations of models will be more accurate since they are increasing the training compute.

I think the more the data the further we get from this hallucinations issue. You're right the newer models will do better.

NVIDIA's Jensen Huang believes AI will transform every field. He has predicted that AI will change science, chip design and all businesses. AI agents will revolutionize SaaS platforms too

prepare to see AI everywhere, even in your food🤣

Joinville realiza primeira cirurgia cardíaca robótica de Santa Catarina

A primeira cirurgia cardíaca auxiliada por robô de Santa Catarina foi realizada na tarde de quinta-feira (7), no hospital Dona Helena, em Joinville. O procedimento durou cerca de quatro horas e foi concluído com sucesso.

#technology #health #medicine #hivebr

A cirurgia aconteceu com um paciente de 60 anos e destinou-se à troca da válvula mitral, que tem a função de controlar o fluxo sanguíneo do coração. O procedimento utilizou o robô denominado Da Vinci Xi, um dos mais modernos do mundo, instalado em maio deste ano. Perto de 60 procedimentos já foram realizados com o equipamento, em diferentes áreas médicas.

Conforme o hospital, incisões menores e recuperação mais rápida são duas das principais vantagens da robótica em cirurgias cardíacas. O procedimento foi liderado pelo cardiologista Alisson Toschi.

ok. Marques Brownlee is now the most trusted tech reviewer on YouTube.

His reviews can help a product succeed or even destroy young startups.

I am not familiar with that one.

Any good or is he just a shill?

oh no. He is no shill.
That is why he has taken over as the goto reviewer.
He is a 10 year of effort overnight success

I will check him out.

Ah okay. Yeah I have seen some of his stuff before.

He is good.

I will check him out

oh, that guy! I do know him

Hi, @mightpossibly,

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With great power comes great responsibility

How huge will the correction of this current price be

$BTC

Online Gaming Platforms And YouTube Will Also Seemingly Be Banned For Aussies Under 16

Online Gaming Platforms And YouTube Will Also Seemingly Be Banned For Aussies Under 16

UPDATE (08/11/24): We now have more information on the Online Safety Act that will prevent Australians that are under 16 from accessing online platforms, and as we expected, it seems as though it will apply to the likes of YouTube, Roblox and by definition even extend as far as the PlayStation Network and Xbox Live.

#austrailia #children #youtube #socialmedia #gaming #technology

The definition of a social media service as per the Online Safety Act according to the ABC can be found below:

The sole or primary purpose of the service is to enable online social interaction between two or more end users;
The service allows end users to link to, or interact with, some or all of the other end users;
The service allows end users to post material on the service.

By definition, any online gaming network such as Fortnite, Roblox or the PlayStation Network/Xbox Live would meet this criteria as they exist to enable online social interaction between two or more end users, allow people to interact and in most cases also allow material to be posted on the service.

FTX bankruptcy estate sues Anthony Scaramucci, FWD.us, others

Bankrupt cryptocurrency company FTX filed 23 lawsuits Friday against Anthony Scaramucci (pictured above), his hedge fund SkyBridge Capital, and other

Bankrupt cryptocurrency company FTX filed 23 lawsuits Friday against Anthony Scaramucci (pictured above), his hedge fund SkyBridge Capital, and other organizations including Crypto.com and the Mark Zuckerberg-backed lobbying group Fwd.us.

#ftx #lawsuit #crypto #bankruptcy

The lawsuit claims, “These ‘investments’ conveyed little to no benefit to Debtors, and instead served only to prop up Bankman-Fried’s standing in the worlds of politics and traditional finance,” which he then attempted to leverage as “potential sources of equity investment in FTX to fill the hole in the balance sheet and, therefore, keep his scheme afloat.”

These lawsuits are an attempt to claw back money for FTX’s creditors following the company’s collapse. FTX claims that the money targeted in these suits was part of “a campaign of influence-buying” by founder and CEO Sam Bankman-Fried, conducted as the company was struggling to meet its own cashflow needs.

Since the company went bankrupt, FTX executives have been convicted of crimes including fraud and money laundering. Bankman-Fried was sentenced to 25 years in prison and is currently appealing his conviction.

Sam Bankman-Fried appeals conviction, criticizes judge’s ‘unbalanced’ decisions

Lawyers representing Sam Bankman-Fried, the FTX CEO and co-founder who was convicted of fraud and money laundering late last year, are seeking a new

Lawyers representing Sam Bankman-Fried, the FTX CEO and co-founder who was convicted of fraud and money laundering late last year, are seeking a new trial.

#sbf #ftx #crypto #crime #fraud

Following crypto exchange FTX’s collapse, Bankman-Fried was found guilty on all seven counts, then sentenced to 25 years in prison and ordered to pay $11 billion in forfeiture. He has been serving his sentence in Brooklyn.

Bloomberg reports that Bankman-Fried’s appeal focuses on the behavior of U.S. District Judge Lewis Kaplan, alleging that Kaplan’s rulings were “not just erroneous but unbalanced” and that the judge “continually ridiculed Bankman-Fried during trial, repeatedly criticized his demeanor, and signaled his disbelief of Bankman-Fried’s testimony.”

The appeal also claims that Kaplan “repeatedly mocked defense counsel” while helping the government make its case and that he “improperly prodded” jurors to reach a quick verdict.

Bankman-Fried’s lawyers are seeking a new trial under a new judge. The U.S. attorney’s office that prosecuted the case said it does not plan to comment on the filing.

Why This Is Just The Beginning For Tesla Stock

#tesla #stock #technology

!summarize

TSMC and GlobalFoundries secure $13B in Chips Act funds ahead of Trump's inauguration

Reuters and Bloomberg report that TSMC, GlobalFoundries, and another unnamed company have completed agreements to receive billions in Chips Act funds from the US government.

In brief: The US has spent the last two years preparing to award chipmakers billions to help boost the country's domestic semiconductor industry, which has lagged behind nations like Taiwan and South Korea. The US government is negotiating the last of the subsidies as the incoming Trump administration threatens the policy's future.

#tsmc #globalfoundries #chipsact #trump #semiconductors

i wonder if a condition for receiving funds is to have hidden spyware or a backdoor embedded in the chips.

Reuters and Bloomberg report that TSMC, GlobalFoundries, and another unnamed company have completed agreements to receive billions in Chips Act funds from the US government. The deliveries will likely be the last before the inauguration of President-elect Donald Trump, who is critical of the legislation.

Although the companies haven't yet received the grants and loans, the US Commerce Department recently informed Congress that three companies will imminently receive the money. The amounts reflect prior agreements with TSMC and GlobalFoundries.

The government awarded GlobalFoundries $1.5 billion to construct a new semiconductor fab in New York and help expand the company's Vermont operations. Meanwhile, TSMC secured a $6.6 billion grant and a $5 billion loan to build a fab for 2nm chips in Arizona.

Congress passed the Chips and Science Act in 2022, earmarking $280 billion for chipmakers who agreed to develop manufacturing facilities stateside. The program aims to reduce US dependence on South Korea and Taiwan for the most advanced semiconductors, partly because the latter is under potential threat from China.

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Voyager 1 Breaks Its Silence With NASA via a Radio Transmitter Not Used Since 1981

The farthest spacecraft in the universe went momentarily rogue, but scientists breathed a sigh of relief when it reconnected at an unexpected radio frequency

In 1977, NASA launched Voyager 1 and 2: a pair of spacecraft tasked with touring Jupiter, Saturn, Uranus and Neptune by taking advantage of a rare alignment of the outer planets that only happens once every 175 years. The two probes had both completed their encounters with these worlds by 1989, and since then, they’ve traveled to the outer limits of our solar system and beyond, sending critical scientific data back to Earth.

#satellite #voyager1 #nasa #space #technology

On Oct. 16, the flight team sent a command to turn on one of the spacecraft’s heaters. While Voyager 1 should have had ample power to operate the heater, the command triggered the fault protection system. The team learned of the issue when the Deep Space Network couldn’t detect Voyager 1’s signal on Oct. 18.

Rather than risk turning the X-band back on before determining what triggered the fault protection system, the team sent a command on Oct. 22 to confirm the S-band transmitter is working. The team is now working to gather information that will help them figure out what happened and return Voyager 1 to normal operations.

Voyagers 1 and 2 have been flying for more than 47 years and are the only two spacecraft to operate in interstellar space. Their advanced age has meant an increase in the frequency and complexity of technical issues and new challenges for the mission engineering team.

Recently, however, Voyager 1 briefly fell silent. It broke communication with NASA in mid-October, then restored contact in an unexpected way: a backup radio transmitter that had been inactive since 1981.

“The spacecraft recently turned off one of its two radio transmitters, and the team is now working to determine what caused the issue,” according to a NASA blog post.

NASA’s twin Voyager probes have been flying for 47 years, which means the agency’s scientists and engineers back on Earth have increasingly had to deal with age-related maintenance issues, per Space.com’s Samantha Mathewson. Last December, for instance, Voyager 1 started sending nonsensical transmissions. Engineers solved the problem five months later, restoring the craft to its full abilities by this summer.

On October 16, Voyager 1 experienced another hiccup. Scientists sent the probe a command to turn on one of its heaters, but for some reason, the command triggered its fault protection system, which is built to respond autonomously to issues onboard. To preserve energy, the fault protection system occasionally turns off nonessential processes, but Voyager 1 should have had enough energy to run the heater.

Because the probe is currently more than 15 billion miles away—making it the farthest spacecraft from Earth—it takes almost 23 hours for a command to reach the craft and another 23 hours for its response to reach scientists. That means the NASA team only noticed something was wrong two days later, when they didn’t detect a response from the probe.

After Pause, NASA’s Voyager 1 Communicating With Mission Team

On Oct. 24, NASA reconnected with the Voyager 1 spacecraft after a brief pause in communications. The spacecraft recently turned off one of its two radio transmitters, and the team is now working to determine what caused the issue.

The transmitter shut-off seems to have been prompted by the spacecraft’s fault protection system, which autonomously responds to onboard issues. For example, if the spacecraft overdraws its power supply, fault protection will conserve power by turning off systems that aren’t essential for keeping the spacecraft flying. But it may take days to weeks before the team can identify the underlying issue that triggered the fault protection system.

When the flight team, which is based at NASA’s Jet Propulsion Laboratory in Southern California, beams instructions to the spacecraft via the agency’s Deep Space Network, Voyager 1 sends back engineering data that the team assesses to determine how the spacecraft responded to the command. This process normally takes a couple of days — almost 23 hours for the command to travel more than 15 billion miles (24 billion kilometers) from Earth to the spacecraft, and another 23 hours for the data to travel back.

The spacecraft typically communicates with Earth using what’s called an X-band radio transmitter, named for the specific frequency it uses. The flight team correctly hypothesized that the fault protection system had lowered the rate at which the transmitter was sending back data. This mode requires less power from the spacecraft, but it also changes the X-band signal that the Deep Space Network needs to listen for. Engineers found the signal later that day, and Voyager 1 otherwise seemed to be in a stable state as the team began to investigate what had happened.

Then, on Oct. 19, communication appeared to stop entirely. The flight team suspected that Voyager 1’s fault protection system was triggered twice more and that it turned off the X-band transmitter and switched to a second radio transmitter called the S-band. While the S-band uses less power, Voyager 1 had not used it to communicate with Earth since 1981. It uses a different frequency than the X-band transmitters signal is significantly fainter. The flight team was not certain the S-band could be detected at Earth due to the spacecraft’s distance, but engineers with the Deep Space Network were able to find it.

Voyager 1 and its twin Voyager 2 are the only spacecraft ever to operate outside the heliosphere, the protective bubble of particles and magnetic fields generated by the Sun. Voyager 1 reached the interstellar boundary in 2012, while Voyager 2 (traveling slower and in a different direction than its twin) reached it in 2018.

The images of Spain’s floods weren’t created by AI. The trouble is, people think they were

The rapid growth of ‘AI slop’ – content created by artificial tools – is starting to warp our perception of what is, or could be, real

#internet #ai #imageneration #spain #floods #deepfakes

My eye was caught by a striking photograph in the most recent edition of Charles Arthur’s Substack newsletter Social Warming. It shows a narrow street in the aftermath of the “rain bomb” that devastated the region of Valencia in Spain. A year’s worth of rain fell in a single day, and in some towns more than 490 litres a square metre fell in eight hours. Water is very heavy, so if there’s a gradient it will flow downhill with the kind of force that can pick up a heavy SUV and toss it around like a toy. And if it channels down a narrow urban street, it will throw parked cars around like King Kong in a bad mood.

The photograph in Arthur’s article showed what had happened in a particular street. Taken with a telephoto lens from an upper storey of a building, it showed a chaotic and almost surreal scene: about 70 vehicles of all sizes jumbled up and scattered at crazy angles along the length of the street.

It was an astonishing image which really stopped me in my tracks. Not surprisingly, it also went viral on social media. And then came the reaction: “AI image, fake news.” The photograph was so vivid, so uncannily sharp and unreal, that it looked to viewers like something that they could have faked themselves using Midjourney or Dall-E or a host of other generative AI tools.

But it wasn’t fake, as Arthur established in a nice piece of detective work – tracking down a bar in the picture using Facebook, finding the street in Apple Maps and even “walking” down it using Street View. “It’s not obvious why these people thought that photo in particular wasn’t real”, he writes. “Perhaps it’s something about the sheen of the cars and the peculiar roundedness of the shapes, and maybe the lack of obvious damage”. Or is it that the proliferation of AI-generated fakes is already making people increasingly predisposed not to believe things that are real?

My hunch is that it’s the latter, because social media are being overrun by what has come to be known as “AI slop” – images and text created using generative AI tools. (Amazon’s Kindle store is having similar problems with AI-generated “books”, but that’s a different story.)

You’d have thought that the social media companies would be bothered by this tsunami of crap on their platforms. Think again. According to Jason Koebler of the tech news website 404 Media, in a recent quarterly earnings call that was overwhelmingly about AI, Meta’s chief executive, Mark Zuckerberg, said that new, AI-generated feeds were likely to come to Facebook and other Meta platforms. Zuckerberg said he was excited by the “opportunity for AI to help people create content that just makes people’s feed experiences better”.

Warming to his theme, Zuck continued: “I think we’re going to add a whole new category of content, which is AI-generated or AI-summarised content or kind of existing content pulled together by AI in some way. And I think that that’s going to be just very exciting for Facebook and Instagram and maybe Threads or other kind of feed experiences over time.”

Hackers are stealing tickets from Ticketmaster customers' accounts. For many, the troubled platform is their only option.

Hackers are breaking into some Ticketmaster users' accounts and transferring tickets to themselves.
Two concertgoers said it was shocking but they got their tickets back in time to attend their shows.
After BI asked Ticketmaster for comment, it refunded the two concertgoers the cost of their tickets.

#hackers #ticketmaster #technology

In September, Vashti-Jasmine McKenzie noticed an event had mysteriously vanished from her Google Calendar. It was a reminder for an Usher concert in Dallas on October 5, synced with her Ticketmaster account.
McKenzie opened her email to a shock: The night before, a stranger had broken into her account, accessed McKenzie's two tickets, which she had paid $550 for, and transferred them out of her account.

"If this happened in real life, if somebody stuck me up, it would be like they were robbing me," said McKenzie, a 42-year-old conference manager.
McKenzie, a music fan who said she spent an estimated $10,000 on shows in 2024, ultimately got her tickets back and went to the show but remains critical of Ticketmaster.

McKenzie isn't the only concertgoer who's suddenly been left ticketless. Similar incidents have been reported in Los Angeles, Nashville, and Charlotte, North Carolina. The playbook is typically the same: Ticketmaster customers purchase tickets to see their favorite artists, only to later receive an email saying their tickets were transferred out of their online wallets by an unknown hacker — and quickly claimed.

These kinds of scams are just the latest in a series of headaches for the ticketing giant. Following a data breach earlier this year and pointed criticisms from major stars like Taylor Swift, the Justice Department (DOJ) announced in May that it filed an antitrust lawsuit against Live Nation, Ticketmaster's parent company, alleging that the company's "conduct is anti-competitive and illegal." Live Nation, worth about $28 billion as of November 8, has a tight grip on the live-entertainment industry. The DOJ said in its complaint that "through Ticketmaster, Live Nation controls roughly 80% or more of major concert venues' primary ticketing for concerts and a growing share of ticket resales in the secondary market."

In response, Live Nation said the DOJ's lawsuit would fail to address fans' issues with ticket prices and their ability to purchase them.
Still, experiencing the ticket-transfer scam firsthand has led McKenzie and at least one other customer to fear their purchases aren't secure.

In October, Mika City, a 28-year-old data analyst from Grand Prairie, Texas, spent $400 on two tickets to the rapper Don Toliver's show in Houston. Two days after she purchased them, she received a 6:08 a.m. email from Ticketmaster saying that her tickets were being transferred to someone named "Floyd George."
Just 39 seconds later, she received another email: "Floyd George" had accepted the ticket transfer, and the tickets had been removed from her account.

As if Intel didn’t have enough to worry about, Nvidia might be about to jump into the PC processor market

New report that Nvidia might enter consumer CPU market
It would most likely be Arm's based
Chips could be announced in 2025 and launch 2026

#nvidia #intel #semiconductor #pc #processor

Intel and AMD currently have a stranglehold on the PC processor market, as the vast majority of consumers' PC processors come from these two manufacturer. But if this latest report is true, that duopoly could soon be challenged.

According to a new report from DigiTimes (reported on by PCGamesN), Nvidia may be planning to enter the consumer processor market by developing a new Arm-based CPU. Currently, Qualcomm’s Snapdragon chips have exclusive rights to Windows on Arm; however, according to Arm CEO Rene Haas, that’s set to change in 2024 with the recent news of that deal ending. There’s also the possibility stemming from Arm threatening to cancel Qualcomm’s Arm license, not to mention the rumors of Qualcomm potentially buying Intel.

While there’s no definitive answer for when this processor will launch, if ever, the report from Digitimes states that an announcement of the Nvidia chips could happen in September 2025, with a possible launch date of March 2026.

How much further can Nvidia push it?
It sounds like a smart move from Team Green, as it could use its vast reputation in the PC world to further push into the PC processor market and give Intel and AMD some much needed competition.

However, the lack of an x86 license might pose an issue for Nvidia. There’s a chance that it could be acquired through Qualcomm, if the two manufacturers join up and the rumors about the latter purchasing Intel become a reality.

Then there’s also the possibility that Team Green could be heading into the gaming processor market, which would pair nicely with its already dominant graphics cards. Of course, such an endeavor would take quite a bit of investment as Nvidia would have to dedicate a lot of resources to porting games to the Arm architecture.

And though the performance has proven to be well-optimized and impressive in its own right, Windows on Arm is still unsupported natively by most PC software and games, a hurdle that also holds back gaming on Macs. But if Valve could get a host of PC games to support Linux through SteamOS for the Steam Deck, then there’s definitely a chance that Nvidia could push for the same for Arm.

Near plans to build world’s largest 1.4T parameter open-source AI model

Near Protocol unveils plans for the world’s largest open-source AI model, using crowdsourced research and aiming to decentralize AI tech.

Near Protocol has unveiled an ambitious plan to build the world’s largest open-source artificial intelligence model on the opening day of its Redacted conference in Bangkok, Thailand. The 1.4 trillion parameter model would be 3.5 times bigger than Meta’s current open-source Llama model.

#ai #near #technology #meta #llama #opensource

While verifying the signature for Ed25519 worked fine, verifying SECP256K1 signatures resulted in a “panic” response that crashed the node.

It will be created through competitive crowdsourced research and development from thousands of contributors on the new Near AI Research hub, with participants able to join the training of a small 500 million parameter model from today, Nov. 10.

Near Protocol’s ambitious AI model
The project will grow in size and sophistication across seven models, with only the best contributors making the leap to working on progressively more complex and larger models. The models will be monetized and privacy will be preserved via the use of encrypted Trusted Execution Environments to reward contributors and encourage constant updating as the technology progresses.

The expensive training and compute will be funded with token sales, Near Protocol co-founder Illia Polosukhin told Cointelegraph at the Redacted conference in Bangkok.

“It costs about $160 million, so it’s a lot, obviously, but actually, in crypto, it is raiseable money,” he said. Polosukhin added:

“Then the tokenholders get repaid from all the inferences that happen when this model is used. So we have a business model, we have a way to monetize it, we have a way to raise money, and we have a way to put this in a loop. And so people can actually reinvest back into the next model as well.”

Near patches critical bug that could crash every node on the network

Blockchain security firm Zellic discovered a flaw that could have crashed the NEAR network, but the team patched the vulnerability.
The smart contract platform Near Protocol contained a weird vulnerability that could have allowed an attacker to crash every node on the network, effectively shutting it down.

#near #blockchain #network #patch

According to a Sept. 26 report from blockchain security firm Zellic, which discovered it, the vulnerability was quietly eliminated through a patch in January, but some networks may still contain similar flaws.

In the report, Zellic referred to the flaw as a “Web3 Ping of Death” due to its ability to bring down an entire network “in an instant.”

Researchers discovered it while investigating Near’s peer-to-peer networking protocol for validator nodes, which allows its validators to communicate effectively with each other.

Nodes on the network communicate and authenticate each other via a “handshake” containing one of two types of signatures, Ed25519 and SECP256K1.

Having discovered this flaw, the researchers were surprised that it had not either been caught previously in tests or else crashed the network already.

The reason was more good luck than good management. It turns out that Near node software has “no code path that allows a Near node to generate SECP256K1 type keys.” In other words, the software allowed nodes to accept SECP256K signatures but didn’t allow them to produce such signatures.

As a result, no node had ever accidentally crashed the network by creating SECP256K keys and attempting to connect to another node.

Even so, a malicious node could alter the software to allow SECP256K keys to be generated. Once they did, they would have the power to crash any Near node simply by attempting to connect to it. The result could take down the entire network, constituting a “Web3 Ping of Death.”

To prove that the vulnerability was real, the researchers first created a version of the Near software containing a malicious patch that allowed SECP256K keys to be generated.

They then launched two nodes on a private testnet version of Near. The first node ran the legitimate software provided by developers, while the second ran the malicious version.

After the first node began producing blocks, the second node attempted to crash the first one by exploiting the two vulnerabilities. They found that the malicious node succeeded at crashing the legitimate one every time.

Ethereum hits $3.2K, surpassing Bank of America market cap

Ethereum reached $3,200, driven by increased DeFi adoption and Bitcoin’s surge above $79,000.

Ethereum, the second-largest cryptocurrency by market capitalization, hit $3,200 on Nov. 10 — its highest since August — as Bitcoin surpassed $79,000 following Donald Trump’s victory in the United States presidential election.

#ethereum #crypto #bankofamerica #trump #technology

According to CoinMarketCap, the market cap of Ether (ETH) now stands at around $383 billion, up almost 5% in 24 hours, putting it roughly $40 billion above Bank of America’s market cap.

ETH’s high valuation compared to Bank of America shows a shift in financial market dynamics as blockchain technology adoption and growth begin to exceed traditional finance (TradFi).

The shift signals the rising popularity of decentralized finance (DeFi) and crypto assets as the US Securities and Exchange Commission considers listing the first options tied to spot ETH exchange-traded funds (ETFs).

ETH gains momentum, turns inflationary again
ETH has witnessed its greatest weekly price action since May as Bitcoin (BTC) price progressively pushes the limits to reach new all-time highs (ATHs).

However, over the last seven days, ETH supply has been quickly increasing, at an inflationary rate of 0.424% a year — previously deflationary in early-to-mid October.

According to Ultrasound.money data, the current yearly ETH burn rate sits at 452,000 ETH, while the issuance rate is more than double that at 957,000 ETH, resulting in an annual supply increase of 0.42%.

Charles Hoskinson shares new plans to ‘help foster' US crypto policies

Cardano founder Charles Hoskinson explained he is going to be “spending quite a bit of time” working with lawmakers in Washington DC to “help foster and facilitate” crypto policies.

Cardano founder Charles Hoskinson has revealed he is setting up a policy office within his company, Input Output, to support cryptocurrency policy development in the United States.

#cardano #crypto #policy #unitedstates #regulation #trump #charleshoskinson

“I’m going to be spending quite a bit of time working with lawmakers in Washington DC and quite a bit of time members of the administration to help foster and facilitate with other key leaders in industry the crypto policy,” Hoskinson explained in a Nov. 9 video posted on X.

“The best opportunity” is now, says Hoskinson
“We have to do this, and we have to get it done,” Hoskinson declared.

Hoskinson reiterated that there is “a very high probability” that the Republicans will “not only control the Senate and the Presidency, but also the Congress, the House.”

He believes this makes it “the best opportunity” for the crypto industry to gain clarity. This follows Trump’s election win on Nov. 6, where Trump campaigned on promises to provide a clearer path forward for the crypto industry if elected.

Hoskinson’s announcement comes after a turbulent few years for the crypto industry, with many crypto executives claiming that the US is falling behind the rest of the world.

Blockchain payment network Ripple CEO Brad Garlinghouse is one example who has voiced multiple public criticisms over the years during Ripple’s prolonged legal battle with the US Securities and Exchange Commission (SEC).

Crypto policy should be written by the “American people”
In March 2023, Garlinghouse stated that the SEC’s regulatory approach puts the US at “severe risk” of falling behind as a hub blockchain and crypto innovation.

Meanwhile, Hoskinson believes that crypto policy should be written by the “American people, the American crypto industry, and by well-meaning lawmakers.”

OpenAI scores key legal victory as judge throws out copyright case brought by news websites

A New York federal judge has dismissed a lawsuit brought by news sites Raw Story and AlterNet against OpenAI for using their articles to train AI systems. The ruling could affect similar ongoing cases.

#openai #lawsuit #copyright #ai #training #data

While dismissing the current case, Judge McMahon left the door open for the plaintiffs to file an amended complaint. However, she expressed doubt about their ability to "allege a cognizable injury," according to Reuters. "Whether there is another statute or legal theory that does elevate this type of harm remains to be seen," McMahon said.

Judge Colleen McMahon dismissed the case after finding that the plaintiffs failed to show concrete harm from OpenAI's use of their content as training data. Unlike other lawsuits targeting AI companies, this case focused on the removal of copyright management information rather than direct copyright violations—though Judge McMahon noted the underlying issue remained the same.

The judge's decision supported the fair use defense of OpenAI and other AI companies, noting that ChatGPT creates synthesized responses from its training rather than copying content directly. She emphasized that the likelihood of ChatGPT reproducing exact copies of articles is minimal, and pointed out that factual information in articles isn't copyrighted anyway.

The ruling also addressed past instances where ChatGPT had copied text verbatim, noting these cases can't be replicated with current versions—supporting OpenAI's position that such copying, when it occurs, is a rare bug rather than intended functionality.

Raw Story's lawyer, Matt Topic, expressed confidence that the court's concerns would be addressed in a revised complaint. OpenAI has not yet commented on the decision.

A federal judge in New York has dismissed a lawsuit filed by news sites Raw Story and AlterNet against OpenAI, ruling that the plaintiffs failed to demonstrate sufficient harm from the use of their articles as training data for AI.
The judge agreed with OpenAI's fair use argument, stating that ChatGPT synthesizes AI responses based on the training content, and the likelihood of an exact copy of an article is low. If it does occur, it is considered an error rather than a feature, and facts are not protected by copyright.
This decision may influence other ongoing lawsuits against AI companies, such as the legal dispute between the New York Times and OpenAI, as well as lawsuits filed by music companies against AI music generators.

OpenAI defeats news outlets' copyright lawsuit over AI training, for now

A New York federal judge on Thursday dismissed a lawsuit against artificial intelligence giant OpenAI that claimed it misused articles from news outlets Raw Story and AlterNet to train its large language models.
U.S. District Judge Colleen McMahon said that the outlets could not show enough harm to support the lawsuit but allowed them to file a new complaint, even though she said she was "skeptical" that they could "allege a cognizable injury."

Raw Story's owners acquired AlterNet in 2018. Raw Story attorney Matt Topic of Loevy + Loevy said the outlets were "certain we can address the concerns the court identified through an amended complaint."
"We build our AI models using publicly available data, in a manner protected by fair use and related principles, and supported by long-standing and widely accepted legal precedents," an OpenAI spokesperson said in a statement.

Raw Story and AlterNet filed the lawsuit in February. They said that thousands of their articles were used without permission to train OpenAI's popular chatbot ChatGPT and that it reproduces their copyrighted material when prompted.
The case is part of a wave of lawsuits against OpenAI and other tech companies by authors, visual artists, music publishers and other copyright owners over the data used to train their generative AI systems. A lawsuit filed by The New York Times against OpenAI in December was the first from a media outlet.

Chinese hacking effort is far more pervasive than previously reported, sources say

The Chinese effort to hack prominent Americans is far more pervasive than previously reported, ABC News has learned.

Sources told ABC News that U.S. law enforcement and intelligence officials are concerned the espionage operation by the Chinese government may have been in place for well over a year -- and perhaps longer -- before it was recently discovered.

#china #hacker #unitedstates #technology

The evidence is mounting that in some cases the Chinese operation was able to tap into, or get access to, what cellphone users of Verizon, AT&T and Lumen were communicating.

Authorities are trying to determine whether the Chinese were able to listen to conversations and watch text messages in real time, as they were occurring, or if they captured the material for review at a later time.

The Chinese appear to have been able to gather large volumes of data in a sweeping covert campaign targeting the cellphones and mobile devices of business leaders and other high profile Americans of both political parties, according to sources familiar with the investigation.

Sources said that U.S. officials are only beginning to understand the breadth of the Chinese operation, but what they have found so far is deeply concerning and represents a massive breach of privacy on a disturbing scale.

The targets have included not only former President Donald Trump and Sen. JD Vance, but also individuals working in a number of government agencies.

Google accidentally leaked a preview of its Jarvis AI that can take over computers

The software was available for a brief time on the Chrome Web Store.

Jarvis is real. Google’s new AI prototype accidentally found its way to the public through the Chrome Web Store. This isn’t just some AI helper that can tell you the weather or remind you about doctor appointments. The Information reported that the store page describes the Jarvis prototype as “a helpful companion that surfs the web for you” through web browsers to take care of common tasks such as buying groceries, booking flight and research topics

#jarvis #google #technology #ai

Google took down Jarvis’ store page by midafternoon ahead of its planned reveal in December. Jarvis will have some competition from outfits like Anthropic and its Claude AI assistant that started its public beta phase last month. Anthropic’s AI assistant can do more than just basic functions through a web browser. Claude can take over a computer to type text, activate buttons and move the cursor.

In other words, Google’s new AI has the ability to take control of a computer to complete these simple tasks without manual human input. The prototype that popped up on Google’s extension store wasn’t in full working mode. A reporter tried to use Jarvis but access permissions prevented the app from performing any functions.

Good God 🤯🤯🤯 it's finally going to happen. I thought we would be seeing this like 2030, I guys Christmas came 5 years earlier. Compared to gpt40 which is more powerful?

Well I am not sure how deep it will be and what level we are talking.

But as I keep mentioning, things are moving very quickly. By 2030, I am certain things will be completely different.

The pace of AI is simply too fast.

the pace is "too" fast. Task you used "too fast" does it mean there's more chance of us making mistakes with AI

AI is unwinding on a massive scale and speed. It’s a train that is unstoppable and picking up speed every second… It’s a bit scary where we’re heading

Mark Rober's lightning-fast robot can win at rock-paper-scissors 100% of the time

YouTuber and former NASA engineer Mark Rober has created an unbeatable robot opponent that will shatter your confidence in the classic rock-paper-scissors game.

In a nutshell: Computers have been beating humans at games for a long while. OpenAI got its start with bots that could beat professional Starcraft players. Now, one engineer has built an unbeatable robot at Roshambo – commonly known as Rock-Paper-Scissors.

#ai #technology #robot #markrober

Wait a minute, that means it's the end of winning Rock paper scissors 😭💔
Mark Rober’s robot is really cool and that means eventually Robots can get to AGI level.

YouTuber and former NASA engineer Mark Rober has created an unbeatable robot opponent that will shatter your confidence in the classic rock-paper-scissors game. Dubbed "Rocky," the robot is outwardly just a simple box with googly eyes and a 3D-printed hand, so how good could it be?

Impossibly good! Rober excitedly shows off the bot's capabilities in a recent video. Rober could not win a single round against the robot in his demo. Rober claims that the chances of beating Rocky are "zero percent."

Or one of the open source models.

The ability to have these do similar things in terms of knowledge is possible. In fact, I believe most LLMs will eventually be commodities since they are all trained on the same information.

That said, the robotic part of things, going a bit further is more difficult. Here is where we see a difference.

oooooh I get it now, but with the way Nvidia is making their model Open source I'll not be surprised to see lots of new and affordable tech trained with AI.

The key to Rocky's dominance is a blisteringly fast hand-tracking system. An infrared motion sensor tracks the movement of your hand and fingers a hundred times per second. This data gets fed into a mini-computer buried inside Rocky's body, which uses algorithms to determine whether you're throwing rock, paper, or scissors split seconds before you've fully extended your hand. Once it knows your throw, the computer directs Rocky's robotic hand via servo motors to make the perfect counter move.

Stanford researchers develop molecule that forces cancer cells to kill themselves

The researchers' recently published study describes a way to re-activate apoptosis in mutated cells, which would amount to forcing cancer to self-destruct through a bioengineered, bonding molecule.

Every day, billions of cells in the human body die thanks to a natural process known as apoptosis. When apoptosis doesn't work by design, cells get cancerous and can cause a life-threatening illness. Now, researchers at Stanford University are working on a novel way to treat, and possibly kill for good, a specific type of cancer.

#cancer #science #research #cellular

The researchers' recently published study describes a way to re-activate apoptosis in mutated cells, which would amount to forcing cancer to self-destruct through a bioengineered, bonding molecule.

Gerald Crabtree, one of the study's authors and a professor of development biology, said he had the idea while hiking through Kings Mountain, California, during the pandemic period. The new compound would have to bind two proteins which already exist in the cancerous cells, turning apoptosis back on and making the cancer kill itself.

This new discovery from Stanford is amazing man. If they can really reverse cancer cell behavior by triggering natural cell death, that could change the way we treat cancer. More hope for all cancer patients

Google's head of research says learning to code is still important, even with AI. Basic coding is more like math, very important for many fields, especially healthcare and education.

Even if AI can do it you still need understanding.

Honestly How close are we to Autonomous AI 🤔

Autonomous AI can perform tasks without human help. It’s used in self driving cars and healthcare. Yes it's smart but it’s far from being self aware I think

I think Nvidia is a safer choice for tech investing in 2025. They have strong growth in AI hardware. I believe competitors will rise this coming year but Nvidia will probably still dominate

Tech News Update 👨‍💻

Upwind, an Israeli cybersecurity startup is raising $100M to enhance cloud security and grow its team. The investors include Craft Ventures and Steph Curry’s fund. We hope to see safer internet environment soon

We hope to see a better Chatgpt soon

OpenAI's ChatGPT-4o can help businesses with tasks like data analysis, web development and branding. It is able to simplify complex work, it saves time and brings more creativity

Some Uber and Lyft drivers are asking passengers to pay in cash instead of using the app to get better pay, but it’s risky for both sides.

We need to keep getting these types of comments into the database. Talking about this stuff is feeding #leoai.

wait really, then I'm on it Task I'll keep feeding LeoAI 💪💯

If the Metaverse is the future, does it means we're all going to be wearing glasses like how we all hold our phones looking down while walking on the street?

  • Google Ads

Google’s AI changes are showing more ads and videos in shopping searches. This might just push down regular website results in search rankings.🤦

Will Disney Launch a Free Streaming Service & Free Channels? - Cord Cutting Q&A

#disney

!summarize

I think free channels 🤔and I think they need to get into AI quickie and allow people to create their own AI videos into a Disney owned platform

I think they can launch a free streaming service with ad supported content to attract more viewers, following industry trends, but have any official announcements been made yet?

Here's How To Make money from home with AI

  • start a content agency

  • become a prompt expert

  • offer design services

  • create business systems

  • provide strategy consulting.

7 ways to use ChatGPT as your personal fitness trainer

ChatGPT can actually help with fitness! I didn’t expect much, but it’s good for basic workout advice. I tell it my fitness goals, and it suggests exercises and meal ideas. It’s not a real trainer, but it’s nice to have some guidance and motivation on hand.

#fitness #AI #workout #ChatGPT #personaltrainer

Big News for You If you're an Nvidia Investor

Nvidia is partnering with Lenovo to launch a new AI platform for businesses. The aim is to improve efficiency and profitability so that Nvidia grow as an industry and stock

US Ordered TSMC to Halt Shipments to China of Chips Used in AI Applications

The U.S. just told TSMC, a big chipmaker, to stop sending certain high-tech chips to China. These chips help with AI tasks. I think this is another move to keep the tech edge over China. It feels like a chess game between two big players, each trying to outsmart the other.

#USChina #TechWar #AIChips #TSMC #ExportControls

Transform Your Ideas into Apps with Bolt’s AI Coding Agent

I just learned about Bolt, an AI tool that helps people like me, without tech skills build apps. Imagine having a cool app idea but feeling stuck because you don't code. Bolt makes it easier. You can drag-and-drop, preview changes instantly, and deploy apps all in one place. It's like a shortcut to launching your digital ideas.

#BoltAI #WebDevelopment #NoCode #Entrepreneurship #AppBuilding

Tesla’s stock Went to 32.7% this week. Analyst Dan Ives calls Musk’s political support a poker move, which may advance Tesla’s growth under Trump. This will happen for 4 years. Elon will probably be Trillionaire by then

iOS 18.2 Public Beta 1 Brings More Apple Intelligence to Some iPhones

Apple’s iOS 18.2 public beta just came out, adding cool new features like Genmoji and Siri with ChatGPT. Right now, only some users can try them. If you're interested, be cautious, beta versions can be glitchy. I’d only put it on a secondary device to avoid surprises.

#iOS18 #AppleBeta #Genmoji #AppleIntelligence #TechNews

Apple Intelligence Features Like ChatGPT Hit iPhones in iOS 18.2 Beta

Apple's new "Apple Intelligence" feature is here for folks with an iPhone 15 Pro or newer and some recent iPads and Macs. Think of it like a helpful tool that can write, edit, and even create images. But it’s only in beta for now, so not everyone can try it yet. I wonder how this will change everyday use for Apple fans like me. It's exciting, but we'll see if it lives up to the hype.

#AppleIntelligence #iPhoneUpdate #TechNews #AppleAI #MobileTech

What Is Quantum AI? Everything to Know About This Far-Out Twist

Quantum AI is when super-powerful computers (quantum computers) join forces with AI. While current AI is strong, it can only go so far. With quantum power, AI could handle huge problems way faster. But we're still years away from seeing this in action.

#QuantumAI #FutureTech #AIandQuantumComputing #SimpleTechExplained #EmergingTechnology

NVIDIA’s Stunning Breakthrough in Humanoid Robotics Unveiled

NVIDIA has created a new way for robots to do many things without changing systems. They call it the Hover controller, and it helps robots act more like humans. It could change how robots help us. I find this exciting because it feels like the future is almost here!

#NVIDIA #Robotics #Technology #AI #Innovation

Google's head of research on whether 'learn to code' is still good advice in the age of AI

I remember hearing "learn to code" all the time. Google's Yossi Matias says it's still great advice, even with AI growing fast. Coding helps you understand tech, like math helps you understand numbers. So, even if AI's here, we should all still know the basics.

#AI #Coding #Learning #Technology #BasicSkills

Phishing attacks surge in 2024 as cybercriminals adopt AI tools and multi-channel tactics

Phishing attacks are getting worse, using tricks like QR codes and AI. I’ve noticed even my inbox is full of suspicious emails. It's scary because these attacks are smarter now, easily fooling people. We need better ways to protect ourselves. It's happening to everyone.

#phishing, #cybercrime, #AI, #cybersecurity

I sense we are going to see the next leg of the arms race: those using AI for cyberattacks and then those using it for defense.

So it would be just about as it is.

Both good and evil will get smarter and more sophisticated.

Is it an unending cycle in your opinion?
Or do you foresee a time where the gabs will be so close it would be nearly impossible to hack a system?

The speed will be unending. We are just going to see this keep moving up the exponential scale.

At some point we are going to hit the economic singularity.

I hope I live to see that

Hi, @taskmaster4450le,

This post has been voted on by @darkcloaks because you are an active member of the Darkcloaks gaming community.


Get started with Darkcloaks today, and follow us on Inleo for the latest updates.

The race is on. Things are really moving quickly. It is amazing.

Hard to tell. Cant see much out past the early 2030s, that is how fast things are moving.

We will have AGI by then which changes everything.

How different will AGI be?

How Reddit went from a weird corner of the web to everyone's favorite digital hangout

I’ve been on Reddit for a while, and I’ve noticed how much it’s changed. It used to be hard to use and full of weird stuff. Now, more people are joining, and it’s gotten cleaner. It’s still growing, and even businesses are noticing.

As dope as inleo already is, what do you think we can learn from them?

#Reddit #SocialMedia #InternetTrends #DigitalTransformation #inleo

There is no reason why Leo cannot operate with the "subreddit" mindeset.

In reality, the only reason is laziness.

People, especially those with premium, can set up daily threadcasts such as this one.

There are a ton of topics to choose from.

oh so it's the Users then. I'd try to do as much as I can. Would also try to spread the words to my friends to Join in.

Yes. Anyone with premium can set up a threadcast by using the tag and focusing upon topic. Look at @coyotelation who set up sports.

I just checked his out, mostly in a different language but I get the point.

you're very correct Task. We work harder we get reddit like results. I think we need more thread beasts on the platform. I also think the Leo curators focusing more on threads than blogs will encourage so many to thread away 🤔

Hello #technology!

Let's go for more knowledge.

I confess that a part of me is "worried" because a vast majority of people are still not prepared for what is to come both through AI and robots.

Things are moving forward at an incredible speed.

I saw two videos that anyone who doesn't know anything about AI will say that the video is true. This is likely to cause major confusion in future elections.

I saw a video that had many of the leading experts in the field discussing this topic.

Eric Schmidt, former CEO of Google, stated that, categorically, we are not prepared for what is coming. He feels, by 2030 or 2032, we will have AI to the point where it is better than 90% of the humans in all fields.

Think about that for a moment.

I spent a lot of time yesterday, and today installing and playing with Llama 3.2's 1B model on my local machine. So far, it's a lot worse than ChatGPT, but that's expected. My PC isn't strong, too.

I'm testing the limits of what my PC can handle. Just increased the context length to 16,000 tokens and my PC haven't crashed yet.

https://inleo.io/threads/view/ahmadmanga/re-leothreads-lv3eqtg3?referral=ahmadmanga

https://inleo.io/threads/view/ahmadmanga/re-leothreads-2wag6bjpn?referral=ahmadmanga

Islândia inicia processo de energia espacial

A Islândia está na linha de frente para receber energia solar do espaço. Uma colaboração entre empresas islandesas e a Space Solar do Reino Unido pode tornar isso uma realidade até 2030.

#technology #energy #space

Segundo Martin Soltau, codiretor executivo da Space Solar, esta modalidade pode competir em termos de custo e eficiência com outras fontes intermitentes de energia renovável. Assim, a Islândia tem uma posição única para ser líder em sustentabilidade energética.

A Islândia tem a oportunidade de se destacar na captação de energia solar espacial. Reykjavik Energy e Transition Labs firmaram parceria com a Space Solar, do Reino Unido, para criar uma estação espacial de energia solar capaz de gerar até 30 megawatts de eletricidade. Este projeto tem o potencial de fornecer energia para cerca de 1.500 a 3.000 lares.

A expansão desse projeto é promissora. Até 2036, a expectativa é que a produção alcance níveis em gigawatts. Traçando um caminho para a viabilidade, o Instituto de Tecnologia da Califórnia (Caltech) demonstrou em 2024 a capacidade de transmitir miliwatts de energia solar do espaço para a Terra.

A chave para capturar energia solar no espaço está em satélites orbitais equipados com painéis solares. Esses satélites convertem luz solar em energia, que é transmitida como ondas de rádio para receptores terrestres, onde é transformada em eletricidade para uso doméstico e industrial.

Estes satélites podem se tornar alguns dos maiores objetos lançados, até mesmo maiores que a Estação Espacial Internacional (ISS). A inovação sugere uma fonte contínua e confiável de energia solar, independente das condições climáticas na Terra.

Por Que Optar pela Energia Solar Espacial?

A energia solar vinda do espaço oferece múltiplas vantagens, como fornecimento constante de energia, dia e noite, eliminando os efeitos das variações climáticas. Também se mostra economicamente viável quando comparada a outras energias renováveis.

O impacto não se limita à Islândia. Países como Canadá e norte do Japão são considerados para futuras estações receptoras. Com o crescimento de usinas espaciais, a tecnologia pode beneficiar outras nações.

Este desenvolvimento tecnológico pode ser crucial para reduzir emissões de carbono em um momento em que a demanda energética global está em alta. Abraçando essa inovação, podemos avançar para um futuro sustentável, menos dependente de combustíveis fósseis.

Com a Islândia liderando essa transformação energética, há uma expectativa global em torno do avanço de tecnologias capazes de revolucionar a geração e uso de energia. O futuro da energia solar espacial é promissor, oferecendo uma possibilidade de energia limpa e inesgotável.

the new Mac Mini M4 is the most powerful computer for its price point ever.

I still don’t like that it has a Fan in it.
My Mac Studio has no fans and it is amazing

That is beyond my pay grade. LOL

I still like building my own machines and tinkering with them. Unfortunately, there's not much of that you can do with Apple products.

yep. I have moved past that building. Since the M line of chips came out.

Elon Musk warns that the U.S. debt is growing unsustainable. He has criticized excessive spending and says crypto like Dogecoin could be a solution. I don't know where he's going with that idea though.

It isnt the debt per se that is the problem. Actually, as long as someone keeps buying it, there is no issue. The global market uses US Treasuries like currency so what we are dealing with is money that we pay interest on.

The main problem is the servicing of the debt.

oh I see, so that only means if servicing is worked on US can maintain their debt strategy?

Yeah that is a hard one to accept. There are a lot of smart people who speculate in ways that dont make a lot of sense.

Uma das pessoas mais influentes na história da tecnologia é também uma das mais discretas: conheça o fundador da TSMC

Morris Chang, o fundador da TSMC (Taiwan Semiconductor Manufacturing Company), é um homem astuto. Este engenheiro veterano lançou em 1987 a empresa que lidera a indústria de semicondutores há muitos anos. Nascido na China e formado nos Estados Unidos, Chang demonstrou publicamente em diversas ocasiões que sabe tudo. Uma das suas previsões sustenta que os custos de produção das suas fábricas localizadas fora de Taiwan duplicarão no futuro, o que terá um impacto direto no preço dos chips.

#technology #chips #china #taiwan

De caráter afável e acessível, Morris Chang quase não fala de si em seu discurso, mas não há dúvida de que é o grande responsável pela TSMC ocupar a posição privilegiada em que se encontra há muito tempo. Na verdade, incutiu na empresa que fundou há quase quatro décadas os valores que o guiaram ao longo da sua carreira profissional: integridade, compromisso, inovação e confiança.

Além disso, ele destacou em diversas ocasiões o que para ele é o ingrediente fundamental que levou ao sucesso da TSMC e de outros fabricantes de chips japoneses e sul-coreanos: a cultura de trabalho. É isto que os torna tão competitivos para este executivo, e ele prevê que os EUA não terão isto a seu favor. A TSMC já está equipando sua nova fábrica no Arizona, e seu plano inicial previa que ela começasse a fabricar chips nos nós N5, N5P, N4, N4P e N4X em 2024. No entanto, as coisas não estão indo tão bem nos EUA.

Seja como for, a empresa fundada por Morris Chang há mais de três décadas e meia domina a indústria de chips com uma clareza "insultuosa". Intel e Samsung competem, mas mas ainda estão a uma distância considerável. Na verdade, a TSMC triplica a quota de mercado destas duas empresas na indústria de fabrico de circuitos integrados. E um dos seus pilares é a ambiciosa infraestrutura de produção. E não possui apenas fábricas de ponta em Taiwan, nos EUA e na China; também está construindo novas fábricas nesses países, no Japão e na Alemanha.

A infância e a adolescência de Morris Chang não foram fáceis. Ele nasceu em 1931, numa China à beira da guerra com o Japão, e antes de completar 18 anos morou em seis cidades diferentes e mudou de escola dez vezes. Ele sobreviveu aos bombardeios de Guangzhou e Chongqing e foi até forçado a cruzar a linha de frente com sua família para fugir de Xangai. Sua jornada em seu país de origem terminou em 1949. Naquele ano, Chang foi para os EUA para estudar engenharia mecânica em duas das melhores universidades do país: Harvard e MIT. Depois de ser rejeitado duas vezes no programa de doutorado do MIT, Chang decidiu entrar no mercado de trabalho.

Não demorou muito para que ele começasse a trabalhar na Sylvania, empresa de eletrônicos onde desenvolveu suas habilidades na área de transistores. Lá ele realmente começou sua carreira na área de semicondutores. Depois de três anos neste cargo, Sylvania enfrentou uma crise profunda causada em grande parte por não ter capacidade de adaptação ao ritmo em que a indústria de chips já se desenvolvia. Mas Chang se saiu bem. Em 1958 foi contratado por uma então jovem mas promissora empresa dedicada a circuitos integrados: a Texas Instruments.

Taiwan carece dos recursos naturais que outros países com grande capacidade industrial possuem, mas atualmente este estado tem muito talento humano. Caso contrário, segundo o próprio Chang, seu sucesso não teria sido possível. Além disso, o fundador da TSMC garantiu em diversas ocasiões que o espírito de trabalho enraizado e a dedicação profissional da sociedade taiwanesa são dois valores acrescentados que a maioria dos seus concorrentes não possui.

Para Jensen Huang, cofundador e CEO da Nvidia, Chang não é apenas um líder na indústria de semicondutores. "O mundo está cheio de pessoas de sucesso, mas os heróis são raros. Há uma grande diferença entre sucesso e impacto. E acho que Morris, por sua carreira, sua filosofia, TSMC, sua estratégia e seus valores fundamentais, é, sem dúvida, um exemplo da revolução industrial", Huang declara sem esconder a menor devoção ao fundador da TSMC. As palavras de Jensen Huang podem parecer exageradas, mas a verdade é que a indústria de semicondutores não teria a dimensão que tem sem a TSMC e sem Morris Chang.

Boa parte da trajetória profissional desse engenheiro veterano aconteceu em uma das subsidiárias que a Texas Instruments possui nos EUA. Quando já tinha passado dos 50 anos e sem nada a provar, Chang imaginou que seria possível abrir uma empresa especializada apenas na fabricação de circuitos integrados e capaz de atender outras empresas responsáveis pelo design dos chips - e assim nasceu a TSMC. Hoje esta é uma estratégia totalmente consolidada, mas naquela época era uma ideia inédita. Ele estava até indo contra a corrente.

Morris Chang aposentou-se em 2018. Hoje ele continua participando de eventos e dando conferências, e cada vez que aparece é reverenciado pelo que é: uma das pessoas mais influentes não só na indústria de chips, mas na indústria de tecnologia em geral. As palavras de Jensen Huang refletem com muita força a dimensão que a figura de Morris Chang atingiu: “A tua carreira é uma obra-prima, uma Nona Sinfonia de Beethoven [...] A Nvidia não existiria sem a TSMC”.

Voyager I: Após 40 anos a sonda espacial ativa transmissor de rádio que nunca foi usado

A Voyager 1, lançada pela Nasa em 5 de setembro de 1977, é uma das missões espaciais mais extraordinárias da história. Originalmente projetada para estudar Júpiter e Saturno, essa sonda espacial foi além das expectativas e, hoje, já se encontra no espaço interestelar, a uma distância de aproximadamente 24 bilhões de quilômetros da Terra. Em uma trajetória épica, a Voyager 1 ultrapassou os limites do Sistema Solar e da zona de influência do Sol, avançando para onde nenhuma outra espaçonave foi antes.

#technology #space #voyager

A Nasa lançou a Voyager 1 para uma missão inicial de explorar os gigantes gasosos Júpiter e Saturno. Ao passar por esses planetas, a sonda capturou imagens e dados que mudaram nossa compreensão sobre eles. Durante seus primeiros anos de missão, a Voyager 1 coletou informações valiosas, como as primeiras imagens detalhadas das luas de Júpiter e os anéis de Saturno.

Concluída a missão principal, a Voyager 1 continuou sua viagem para além do Sistema Solar. A sonda entrou na região chamada de espaço interestelar, onde a influência do Sol e de seu campo magnético é mínima. Essa transição, ocorrida em 2012, marcou um feito histórico e fez da Voyager 1 o primeiro objeto humano a sair da influência solar.

Hoje, a Voyager 1 permanece em funcionamento, sendo a espaçonave mais distante da Terra. Com 47 anos de missão, a sonda depende de uma bateria de plutônio que, embora se esgote com o tempo, tem sustentado os sistemas essenciais para transmitir dados e receber comandos da Nasa.

Nos últimos meses, a Voyager 1 enfrentou dificuldades. Em 16 de outubro, um comando enviado pela Nasa desencadeou o sistema de proteção contra defeitos da sonda, desativando todos os sistemas não essenciais, incluindo a comunicação. O incidente deixou a sonda incomunicável por alguns dias, o que gerou preocupações na equipe de engenheiros.

Para restaurar o contato, a equipe da Nasa recorreu a um transmissor de rádio em banda S, um sistema de comunicação que não era utilizado desde 1981. Esse transmissor permite uma comunicação de baixa frequência e ajudou a reestabelecer contato, ainda que o sinal seja fraco para o uso contínuo.

Com a Voyager 1 a 24 bilhões de quilômetros de distância, o tempo para que um comando chegue à sonda é de cerca de 23 horas. Esse atraso é uma das muitas dificuldades que os engenheiros enfrentam ao operar a sonda, e limita o número de ajustes e correções que podem ser feitos em tempo real.

Para prolongar a vida útil da Voyager 1, a equipe da Nasa tem adotado estratégias criativas, como desligar componentes não essenciais e reduzir o consumo de energia. Em intervalos regulares, são ativados aquecedores e sistemas que ajudam a reverter o dano da exposição à radiação, mantendo os sistemas vitais da sonda ativos.

Construída com tecnologia da década de 1970, a Voyager 1 é um exemplo de engenharia resistente. Embora seus sistemas não tenham sido projetados para uma missão tão longa, a robustez da sonda e a criatividade dos engenheiros têm mantido a missão ativa. Cada problema resolvido pela equipe é uma conquista, mostrando o compromisso com a exploração espacial.

Atualmente, a Nasa investiga o que teria desencadeado o sistema de proteção contra defeitos da Voyager 1. Antes de reativar o transmissor de banda X, a equipe precisa identificar a causa do problema e garantir que a comunicação seja estável para evitar novas interrupções de contato.

A Voyager 1 deixou um legado duradouro e continua inspirando novas gerações de cientistas e engenheiros. Com uma missão que desbravou Júpiter, Saturno e o espaço interestelar, essa sonda é um marco da exploração espacial e continua a desafiar os limites do conhecimento humano.

Bitcoin Mining Difficulty Reaches New High of 100 Trillion-Will This Propel BTC to $120,000?

Mine one Bitcoin is now more difficult as the mining difficulty metric crossed 100T.
Bitcoin has a higher price valuation than it currently showcases per MVRV data.

#bitcoin #crypto #mining

Bitcoin’s mining difficulty recently increased by 6% to an all-time high of 101.65 trillion amid a record hash rate for the network. This move coincides with bullishness from a major technical indicator, signaling Bitcoin’s potential to climb towards $120,000.

The Bullish Bitcoin Technical Indicators
The price of Bitcoin crossed back above $75,000, a critical psychological level, following Donald Trump’s win in the U.S. election on November 5. CoinLupin, a market analyst at on-chain analytics firm CryptoQuant, utilized the Market Value Realized Value (MVRV) indicator to estimate Bitcoin’s present price.

The MVRV ratio is a powerful traditional tool for Bitcoin traders, offering insights into market valuation and potential price trends. CoinLupin stated that Bitcoin’s MVRV currently hovers at 2 while its price climbed just above $75,000. This suggests the market’s surface value is twice the on-chain estimated value.

The analyst added that the MVRV indicator recently surpassed the 365-day average and is now above the 4-year average, which often mirrors Bitcoin’s cycle. “This suggests that the upward trend remains intact, and generally, the cycle peak tends to occur when the MVRV reaches levels between 3 and 3.6,” CoinLupin emphasized.

He claims a 43-77% increase is critical for the MVRV ratio, assuming the Realized Value (RV) remains constant. When applied to Bitcoin, this translates to a target of $95,000 to $120,000. The analyst further noted that the RV is expected to rise as the market progresses with fresh demand. Considering previous cycles, he believes a peak may form above these zones.

Unpaid royalties are killing artists’ earnings – could blockchain be the ultimate fix?

Leveraging blockchain for transparent royalty tracking attracts both artists and investors seeking clarity and fairness in the music industry.

Globally, music professionals are missing millions, if not billions, of dollars in royalties. This isn’t just an occasional oversight or technical flaw; it’s a fundamental problem within an industry that wants to prevent its evolution to preserve profits.

Does that sound extreme? Well, the recent lawsuit initiated by Limp Bizkit against Universal Music Group (UMG) shows just how serious the problem is. The world-renowned band claims that UMG uses royalty software that is ‘intentionally designed’ to hide payments. And if it’s that bad for Limp Bizkit, imagine how much worse it is for upcoming artists.

#artists #blockchain #royalties #crypto

Metadata Isn’t Always Accurate, No Matter What They Say
At the heart of the royalty payments issues is metadata. The music industry usually represents it by the credits shown on streaming platforms like Spotify or Apple Music. However, it also includes all critical details associated with a song, such as titles, songwriters, producers, publishers, and record labels.

And to make sure everyone gets credited and paid each time a song is played, this data needs to be aligned across multiple databases. Sadly, that doesn’t always happen. That’s why many talented people miss out on their fair share.

You may wonder, what’s so hard about entering the correct information for a song? However, the music industry has faced ongoing challenges with metadata for years. There are no definitive standards for how music metadata is collected or displayed, and there is no requirement to check the accuracy of this information before it is published. To make things even trickier, this data isn’t housed in a single, centralized location; instead, it is dispersed across countless databases worldwide.

What’s even more alarming is that Limp Bizkit isn’t the only one calling out the issue. SoundExchange, a US organization responsible for managing performance rights, also filed a similar lawsuit against AccuRadio. AccuRadio is an internet radio platform that permits digital broadcasters to use sound recordings as long as royalties are paid.

Eliminating ‘Errors’ and Excuses Is Possible, but Many Industry Titans Don’t Want It
The sad reality is that the problems with today’s royalty systems go beyond late payments or missed checks. These systems depend on old technology that is prone to mistakes—both human and software errors. Furthermore, there’s always the possibility of intentional manipulation. As a result, artists frequently don’t know where their payments come from or if they’re actually getting what they should.

One technology you are likely familiar with may be a more reliable solution: blockchain. It offers a transparent, decentralized network for storing data. The mechanism isn’t too complex to understand—every time a song is played, that action is logged on the blockchain, creating a permanent record that can’t be modified.

Continuing from my post earlier... I tried a context length of 32K tokens, and my computer is toast! It's trying to process the data for 1 hour now, and it doesn't seem like it's stopping any time soon. CPU is working at 100% heat! #technology #ai #llama

Step-by-Step CrewAI Agent Build - Real Use Case! (Part 1)

#newsonleo #ai #technology #crewai !summarize

Part 2/4:

Setting up the Environment

We'll start by spinning up a new Conda environment and installing Crew AI and Langchain. We'll then use the crew ai create command to create the skeleton of the app, which will include the necessary files and configurations.

We'll start by using the OpenAI GPT-4 mini model for speed and low cost, and we'll experiment with higher-end, more expensive models later.

Integrating Perplexity

Next, we'll integrate Perplexity's API to handle the research for us, as we don't want to deal with web scraping. We'll define a new language model (LLM) in Crew AI and use the Perplexity API to get the latest information on AI models and developments.

However, we'll run into some issues with the Perplexity API, and we'll need to work through them to get it integrated correctly.

Introducing Serper for Web Search

[...]

Part 1/4:

Building an Educational AI Portal from Scratch with Anthropic's Crew AI

Introduction

In this video, we're going to build an educational portal from scratch using Anthropic's Crew AI. This is a real-world use case that I need to build, and I'll explain what it is and show you step-by-step how I go about building it. I'll be testing and making mistakes along the way, and I'll share it all with you.

We'll be using OpenAI models, including GPT-4, as well as Perplexity. I have a lot of ideas about how this should go, so let's get started.

The Goal: An Educational AI Portal

The goal is to build an educational portal that provides all the information needed to become proficient in AI. This will include everything from the basics to complex tutorials, and we want to automate the creation of at least the first drafts of the text-based educational content and tutorials. We'll also include images and step-by-step guides, and we want Crew AI to put it all together for

[...]

Part 3/4:

After resolving the Perplexity API issues, we'll introduce Serper, a web search tool, to Crew AI. This will allow us to get more up-to-date information from the web, as the Perplexity API seems to have some limitations in this area.

We'll install the Crew AI tools and set up the Serper API key, then integrate the Serper tool into the researcher agent.

Refining the Agents and Tasks

With the web search functionality in place, we'll take a closer look at the researcher and reporting analyst agents, and refine their definitions and tasks. We'll make sure the researcher is a seasoned expert at finding the most relevant and comprehensive information, and the reporting analyst is an educational content creator who can turn complex topics into clear and concise educational materials.

Experimenting with Different Models

[...]

Part 4/4:

Finally, we'll experiment with different models, including the more expensive GPT-4 01 model, to see if we can get even better results for the educational content. We'll monitor the cost and performance of each model and make decisions accordingly.

Conclusion

By the end of this process, we'll have a solid foundation for an educational AI portal that can automatically generate high-quality, comprehensive educational content on a variety of AI-related topics. In the next video, we'll explore additional features and refinements, such as implementing a reviewer agent and generating images to accompany the text-based content.

my tech contribution for today

AI is changing fintech now. We're seeing increased profits

  • some companies like Visa and Mastercard are using AI for security, productivity and improved customer service. AI is synonymous to tech today

AI is spreading to those companies that are not into it. We will see it in every company by the end of next y ear.

I believe this because it's everywhere now and those that don't use it will soon be forced to use it otherwise they can't keep up with those that use it.

Auto dealer groups to challenge Scout Motors' decision to sell directly to consumers

Groups representing U.S. auto dealers plan to challenge Volkswagen's Scout Motors decision to sell directly to consumers, bypassing independent retailers.

Groups representing U.S. auto dealers said on Friday they plan to challenge a decision by Volkswagen's Scout Motors to sell directly to consumers, bypassing independent retailers.

#autodealers #volkswagon #scout #ev #automakers

Scout did not immediately respond to a request for comment.

NADA CEO Mike Stanton said the decision by VW "to attempt to sell Scout vehicles direct to consumers and compete with its U.S. dealer partners is disappointing and misguided, and it will be challenged."

The National Automobile Dealers Association said it and state associations "will challenge this and all attempts to sell direct in courthouses and statehouses across the country."

Scout said on Thursday it would join electric vehicle manufacturers like Tesla in forgoing a traditional independent dealer network in favor of directly selling and servicing vehicles, and it pledged full transparency on price and a speedy sales process.

Scout Motors CEO Scott Keogh told Reuters earlier this week that he expects the brand will have around three dozen U.S. retail centers when sales begin in 2027, eventually rising to 100. Other EV sellers like Rivian and Lucid have direct sales models as well.

"I think it's critical moving into the future in unstable environments to control your customer, control your margin, control your operational excellence," Keogh said, referring to the direct sales plan.

What do you call a row of people lifting a giant mozzarella?
A cheesy pickup line.

Credit: reddit
@taskmaster4450le, I sent you an $LOLZ on behalf of ahmadmanga

(2/2)
Farm LOLZ tokens when you Delegate Hive or Hive Tokens.
Click to delegate: 10 - 20 - 50 - 100 HP

Go to a restaurant and step into the freezer. That will cool the laptop down.

Inside Joby's eVTOL Air Taxi, Coming in 2025

#technology #vtol #electric !summarize

my local, AI Voice Assistant (I replaced Alexa!!)

#ai #technology #ollama !summarize

Part 1/3:

Replacing Alexa with a Fully Local AI-Powered Voice Assistant

Dissatisfaction with Cloud-Based Assistants

The narrator expresses frustration with Alexa, describing it as "kind of dumb." They want to create their own fully local AI-powered voice assistant, tired of relying on cloud-based services like Amazon's. The goal is to connect the assistant to their own local AI server, "Terry," and have it respond to the name "Terry" with a custom voice.

Building a Local Voice Assistant with Home Assistant

The narrator starts by installing Home Assistant, a local home automation software, on a Raspberry Pi. This provides the foundation for building a local voice assistant. They then explore options for replacing Alexa's voice capabilities, finding an open-source tool called Rhasspy that enables offline voice recognition and text-to-speech.

Setting up the Voice Pipeline

The narrator walks through the process of configuring Home Assistant's voice assistant feat

[...]

Part 2/3:

  1. Installing the Whisper speech-to-text and Piper text-to-speech add-ons.

  2. Configuring the voice assistant to use these local services.

  3. Testing the voice assistant's ability to control smart home devices like lights.

Expanding to Multiple Devices with the Wyoming Protocol

To create a more robust voice assistant system, the narrator introduces the Wyoming protocol, a peer-to-peer protocol for voice assistants. This allows them to set up additional "Wyoming satellite" devices, such as Raspberry Pis, that can communicate with the central Home Assistant system.

Integrating a Local Language Model (LLM)

Dissatisfied with the basic conversational abilities of the Home Assistant voice assistant, the narrator decides to integrate a more advanced language model. They set up an instance of the Llama 3.2 LLM on a separate laptop and configure Home Assistant to use it for the conversation agent.

Offloading Processing to Dedicated Hardware

[...]

Part 3/3:

To improve performance, the narrator offloads the speech-to-text and text-to-speech processing to separate Docker containers running on the laptop, rather than the Raspberry Pi. This allows them to take advantage of the laptop's more powerful hardware.

Customizing the Wake Word and Voice

The narrator attempts to customize the wake word to "Terry" and create a custom voice for the assistant, but faces challenges. They plan to address this in a future video, determined to make the voice assistant truly their own.

Overall, the narrator demonstrates a deep dive into building a fully local, AI-powered voice assistant, leveraging open-source tools and hardware to create a more private and customizable alternative to cloud-based assistants like Alexa.

Cardano Soars 32% Amid Buzz Around Hoskinson As Trump’s Crypto Advisor

After Donald Trump's victory in the US elections, there is speculation that Charles Hoskinson, the founder of Cardano, could be appointed to a key government role overseeing digital currency policies. Hoskinson confirmed his interest in serving as a presidential advisor on crypto legislation and expressed a willingness to collaborate with the new administration.

#cardano #crypto

He aims to establish a policy division for crypto regulations through his company, Input Output Global (IOG), and work on bipartisan legislation with lawmakers and officials. Hoskinson believes this is the best opportunity for the cryptocurrency industry to gain legal clarity and emphasized the need for rules that facilitate innovation within the law. Speculation about his potential role has contributed to a surge in Cardano's price, with the digital currency experiencing significant growth.

Crypto Analyst Sounds 160% Breakout Alarm For This Meme Coin – It’s Not Dogecoin Or Shiba Inu

The crypto industry is experiencing a surge in bullish sentiment, with a focus on meme coins. A crypto analyst named CoreCrypto1 has predicted a 160% increase for DOGS, a relatively new meme cryptocurrency with a strong social media following.

The analyst highlighted a descending triangle pattern on the DOGS daily chart, suggesting a breakout. If successful, this retest could lead to substantial gains, with price levels set at $0.0008, $0.0011, and $0.00152. DOGS has garnered a significant following on social media and has seen recent price upticks, trading at $0.0006269 and up by 12.5% in the past 24 hours, supporting the outlook of a 160% surge.

Crypto Mixer Jailed For 12.5 Years After $400M Money Laundering Conviction

The founder of cryptocurrency mixing platform Bitcoin Fog has been sentenced to 12.5 years in a US prison for money laundering, with the court emphasizing the seriousness of cracking down on crypto platforms used for illegal activities. The founder, Roman Sterlingov, was convicted of laundering $400 million in criminal proceeds, with the prosecutors highlighting the platform's role in facilitating money laundering for activities such as narcotics.

Despite a lighter sentence than what the government suggested, the judge stressed the need for a harsh penalty to deter others in the crypto space from similar actions. The case serves as a warning about the US government's commitment to holding individuals accountable for aiding criminals through cryptocurrency platforms.

Venture Investor on How You Should Invest in AI | MOONSHOTS

#ai #technology !summarize

Part 1/4:

The Evolving Landscape of AI Investment

As a leading thought investor, the value in the incredible AI value chain is not equally distributed across the different layers. Each layer presents its own unique challenges and opportunities that require careful consideration.

Hardware Infrastructure: Chips, Data Centers, and Power

The hardware infrastructure, including chips, data centers, and power, is undoubtedly a crucial component of the AI ecosystem. The demand for these resources will continue to grow exponentially in the next decade. However, the progress and financing of this infrastructure can be tricky. The history of the internet has shown that the bottleneck can shift from one area to another, and the same pattern is emerging in the AI landscape.

[...]

Part 2/4:

For instance, the price of Nvidia chips has dropped significantly this year, indicating a potential data bottleneck. Similarly, power and cooling challenges are likely to arise as the demand for computational resources increases. Investors need to be mindful of these shifting bottlenecks and ensure that the financing of the hardware infrastructure is well-structured to avoid potential pitfalls.

Foundation Models: The Backbone of AI

The foundation models, such as those developed by Anthropic, OpenAI, and Gemini, are the backbone of the AI software market. These models are ubiquitous, with nearly 80% of the software market relying on them. While the revenue in this space is growing rapidly, the price competition is intense, with token prices falling hundredfold in the last two years.

[...]

Part 3/4:

This dynamic suggests that the market is approaching an asymptotic limit, where further improvements in intelligence may come at a much slower pace. This could lead to architectural changes, and new players may emerge, similar to the way Google emerged from the 37 search engines that existed before it.

Applications: The Race to Market

The application layer is where the real value can be captured, but it's also the most competitive. Large companies can optimize their products very quickly using AI, posing a challenge for new entrants. The race is on to get to market faster than the big companies can develop their own AI-powered solutions.

[...]

Part 4/4:

In some cases, this can present the biggest private equity opportunity of all time. The example of the dev tool company that grew from 0 to 40 million in revenue in just 3 months illustrates the potential for rapid market capture. However, this is not the case for all applications, and investors need to carefully assess the competitive landscape and the ability of new entrants to outpace the incumbents.

In conclusion, the AI value chain is a complex and rapidly evolving landscape, with each layer presenting its own unique challenges and opportunities. Investors need to be strategic and adaptable, constantly monitoring the shifting bottlenecks and competitive dynamics to identify the most promising investment opportunities.

Trump Pick: Wall Street Lawyer Considered For SEC Chair

Richard Farley, a prominent partner at Kramer Levin Naftalis & Frankel in New York, is being considered as a potential candidate for the position of chair at the US Securities and Exchange Commission (SEC) under the incoming President Donald Trump. With his extensive experience in high-stakes finance, particularly in leveraged finance, and his role as co-head of Kramer Levin’s Leveraged Finance Group, Farley has emerged as a top contender for this influential role.

#SEC #crypto

Notably, his strong political ties and alignment with the GOP, along with his connections to influential figures in Trump's inner circle, bolster his candidacy. The potential shift in SEC priorities and stance on cryptocurrency under a new leadership, particularly in favor of relaxed regulatory conditions in the crypto sphere, has garnered attention. Farley is one of several finalists for the position, and the selection of the next SEC chair will significantly impact the regulation of digital assets and shape the future of the industry.

Gotcha! Tether Joins Forces With Canadian Authorities To Track Down Stolen Crypto

Tether recently assisted the Ontario Provincial Police in recovering $10,000 CAD from a crypto robbery, demonstrating its commitment to addressing crypto-related crimes. Despite previous criticisms for lack of transparency, Tether cooperated with authorities by freezing the USDT involved and enabling its return to the rightful owner. The OPP expressed gratitude for Tether's help, with Detective Inspector Addison Hunter commending the company's voluntary assistance in facilitating the swift recovery of stolen assets.

Tether's CEO, Paolo Ardoino, emphasized the company's dedication to supporting law enforcement in combating cybercrime and holding criminals accountable, highlighting its collaborations with numerous law enforcement agencies globally. Amidst legal scrutiny and rumors of investigations into money laundering, Tether has refuted allegations and focused on business expansion, including investments in the Middle East to diversify its portfolio beyond crypto.

Dogecoin Price Sees Bi-Monthly RSI Rise To 2020 Levels, Here’s What Happened Last Time

Crypto analyst Trader Tardigrade has observed a similarity between the current Dogecoin price action and that of 2020, noting that the bi-monthly Relative Strength Index (RSI) has risen to levels seen in 2020 before a significant bull run. The analyst predicts that the next three bi-monthly candles will be significant for Dogecoin, with potential for a parabolic rise to as high as $44.

#dogecoin #memecoin #crypto #bullrun

Other analysts, including Ali Martinez and Olivier, have offered bullish predictions for Dogecoin, with potential price targets of $23 and $32, respectively. Additionally, analyst Master Kenobi compared Dogecoin's growth potential to Bitcoin, highlighting the possibility of Dogecoin's market cap increasing 10x to $290 billion, putting its price at $2. Meanwhile, at the time of writing, Dogecoin is trading at around $0.2, up over 3% in the last 24 hours.

Didn't realize Leo AI gotta eat on Sundays too.

I guess the more we feed it the better it becomes when it's released.

I wanna ask, after release would it be updating itself or training even whiles we use it, or the trainers would have to be pushing updates like open AI does?

#askleo #leoai

It works more like Llama with real time updating. That is why continual feeding into this database is important. The vector database allows for real time updates.

This is amazing. Trying to speak to a couple of friends to join in.

Decentralized Llama, I like it.

Crypto For Secrets: Chinese Man Sentenced To Life For Selling State Info

A Chinese state official named Wang Moumou, working in a confidential unit, was found guilty of espionage for selling state secrets to foreigners to pay off debts incurred from cryptocurrency investment losses. The Chinese government is now addressing weaknesses in their confidentiality system to prevent similar incidents. Wang, who suffered losses from cryptocurrency investments, was lured by a foreign spy and received over 1 million yuan worth of cryptocurrency for passing on top-secret information about the Chinese government.

Wang, initially a good young man, was tempted by the prospect of earning money and gradually compromised his confidentiality standards, ultimately leading to his life imprisonment for espionage. The Chinese court found him guilty of selling state documents for cryptocurrency and discovered leniency in implementing confidentiality regulations in his unit, allowing him to leak sensitive documents to foreign intelligence agencies.

Bitcoin Analyst Sets $88,800 Target As BTC Breaks ATH 3 Days In A Row – Details

Bitcoin has been experiencing record-breaking highs following Donald Trump's US election victory and a recent Federal Reserve rate cut. This has sparked renewed investor interest, driving BTC prices into uncharted territory. Top analyst Daan is optimistic, foreseeing potential for further upside to $88,800.

$BTC #btc #bullrun #bitcoin

As BTC enters a bullish phase, it is now in a price discovery period, with analysts and investors closely monitoring its price action and expecting strong momentum due to institutional demand. The next few weeks will be crucial as Bitcoin tests new price levels, potentially fueling a transformative period and optimism in the crypto space.

As BTC consolidates at $76,400, maintaining above $73,800 is crucial for continued bullish momentum. A potential retrace to $72,500 could provide a reset for the market, but overall, the sentiment remains positive for Bitcoin's bullish trajectory.

In the mood to abuse your laptop I see.

Some sacrifices are necessary... Oh, and I won't even attempt to try 32K context with this one.

Leak: ‘GPT-5 exhibits diminishing returns’, Sam Altman: ‘lol’

#openai #gpt5 #samaltman !summarize

Part 3/5:

This suggests that the key to further progress may lie in a model's ability to extract the necessary reasoning steps from the limited data available, rather than simply scaling up the training process. The 01 family of models from OpenAI, which utilize a test-time compute paradigm, offer a glimmer of hope in this regard.

Ultimately, the truth lies somewhere between the extremes of unbridled optimism and pessimistic doom-saying. Even the experts at OpenAI admit that they simply don't know how long the current trajectory of progress can continue. As one researcher stated, "I think it's still unclear... we're still trying to figure that out."

[...]

Part 2/5:

This raises several important points. Firstly, it's clear that language models are still making progress, albeit at a slower rate. As one OpenAI investor noted, "We're increasing the number of GPUs used to train AI, but we're not getting the intelligence improvements out of it at all." This suggests that the scaling paradigm may be reaching its limits, as hinted at by Dario Amodei, who said that training the next generation of models could soon cost hundreds of billions of dollars.

However, the story is not one of pure pessimism. The author delves into the potential for progress to come from a different angle: data efficiency. The Frontier Math Benchmark, which tests language models on challenging mathematical problems, highlights the importance of access to relevant training data. As one researcher noted, "These problems typically demand hours or even days for specialist mathematicians to solve," and even the renowned Terrence Tao struggled with many of them.

[...]

Part 1/5:

The Nuanced Reality of Language Model Progress

Navigating the Hype and Skepticism Around AI Advancement

The recent leak from an undisclosed source at OpenAI has sparked a flurry of headlines and speculation about the state of language model progress. While it would be easy to write a sensationalized story focusing on the "slowing down" of improvements, the reality is far more nuanced.

The article in question suggests that the next-generation OpenAI model, codenamed "Orion," is performing on par with GPT-4 in terms of intelligence and task-fulfillment abilities, even with only 20% of the training process completed. However, the final increase in quality is expected to be smaller compared to the leap between GPT-3 and GPT-4.

[...]

Part 4/5:

This uncertainty is a humbling reminder that the field of AI is rapidly evolving, and the path forward is not always clear. While the hype and skepticism surrounding language model progress can be tempting to latch onto, the reality is far more nuanced and complex. By maintaining a balanced perspective and focusing on the underlying research and challenges, we can better navigate the ever-changing landscape of AI development.

The Promise of Other Modalities

It's important to note that the progress in language models is not the only area of AI advancement. According to the well-known co-founder and CEO of Runway, OpenAI is planning to release the highly anticipated video generation model, Sora, in the next two weeks.

[...]

Part 5/5:

This highlights the fact that progress in one modality, such as text-based reasoning, does not necessarily translate to other domains. In areas where there is an abundance of data, such as video and speech, the progress can continue rapidly. The discrepancy between text-based and other modalities underscores the importance of a multifaceted approach to AI development.

Embracing the Complexity

As the author concludes, leaving this discussion neither overly hyped nor overly skeptical is the goal. The reality of AI progress is a complex tapestry, woven with threads of both promise and challenge. By embracing this nuance and delving deeper into the underlying research and trends, we can gain a more accurate understanding of the state of language model development and the broader landscape of AI advancement.

Venture Investor on How You Should Invest in AI | MOONSHOTS

#ai #technology !summarize

Part 1/4:

The Evolving Landscape of AI Investment

As a leading thought investor, the value in the incredible AI value chain is not equally distributed across the different layers. Each layer presents its own unique challenges and opportunities that require careful consideration.

Hardware Infrastructure: Chips, Data Centers, and Power

The hardware infrastructure, including chips, data centers, and power, is undoubtedly a crucial component of the AI ecosystem. The demand for these resources will continue to grow exponentially in the next decade. However, the progress and financing of this infrastructure can be tricky. The history of the internet has shown that the bottleneck can shift from one area to another, and the same pattern is emerging in the AI landscape.

[...]

Part 2/4:

For instance, the price of Nvidia chips has dropped significantly this year, indicating a potential data bottleneck. Similarly, power and cooling challenges are likely to arise as the demand for computational resources increases. Investors need to be mindful of these shifting bottlenecks and ensure that the financing of the hardware infrastructure is well-structured to avoid potential pitfalls.

Foundation Models: The Backbone of AI

The foundation models, such as those developed by Anthropic, OpenAI, and Gemini, are the backbone of the AI software market. These models are ubiquitous, with nearly 80% of the software market relying on them. While the revenue in this space is growing rapidly, the price competition is intense, with token prices falling hundredfold in the last two years.

[...]

Part 3/4:

This dynamic suggests that the market is approaching an asymptotic limit, where further improvements in intelligence may come at a much slower pace. This could lead to architectural changes, and new players may emerge, similar to the way Google emerged from the 37 search engines that existed before it.

Applications: The Race to Market

The application layer is where the real value can be captured, but it's also the most competitive. Large companies can optimize their products very quickly using AI, posing a challenge for new entrants. The race is on to get to market faster than the big companies can develop their own AI-powered solutions.

[...]

Part 4/4:

In some cases, this can present the biggest private equity opportunity of all time. The example of the dev tool company that grew from 0 to 40 million in revenue in just 3 months illustrates the potential for rapid market capture. However, this is not the case for all applications, and investors need to carefully assess the competitive landscape and the ability of new entrants to outpace the incumbents.

In conclusion, the AI value chain is a complex and rapidly evolving landscape, with each layer presenting its own unique challenges and opportunities. Investors need to be strategic and adaptable, constantly monitoring the shifting bottlenecks and competitive dynamics to identify the most promising investment opportunities.

Is AI Detection a Scam? I Did an Analysis: The Results Shocked Me

#ai #scam #technology !summarize

What's this summarize bot?

Yeah, have tried a couple of them before and I noticed, of the article is well structured, not matter how it sounds, it would be flagged as AI.

  • introduction
  • Body
  • Conclusion

couldn't type enough
Continuation

I scanned a text book I used back in college before AI was popular, it flagged it because of the structure of writing.

Part 1/3:

The Future of Content: Embracing AI for Unparalleled Results

The Myth of Undetectable AI Content

Most of my 12-year career has been built on writing quality, engaging content that has brought in countless customers. However, I'm here to tell you that the premise of "undetectable AI-generated content" is 100% bogus. In this article, I'll take you through an analysis of 10 pieces of content written by six different leading AI tools and one human writer, and reveal the surprising results from the top AI detection platform, Originality.AI.

The Limitations of AI Detection

While AI detection tools claim to identify robotic-sounding content, the reality is that they are simply calling out poor writing, not necessarily AI-generated content. Even a human-written piece that ranks at the top of Google can be flagged as 76% AI by Originality.AI. This suggests that these detection tools are not a reliable measure of content quality or authenticity.

The Importance of

[...]

Part 2/3:

The true benchmark for content should not be whether it can evade AI detection, but rather whether it is engaging, easy to digest, and effectively communicates your brand's message. Prompting an AI tool to write a generic blog post is unlikely to produce high-quality, personalized content. Instead, the key is to provide the AI with clear guidance, including a specific topic, your personal insights, and a call-to-action (the "TPCG" formula).

Leveraging AI for Exceptional Content

By using advanced language models like GPT-3 and Gemini, you can generate content that is near-publishable quality, complete with relevant research and sources. The key is to provide the AI with the right prompts and guidance, rather than relying on it to produce content from scratch. This approach allows you to harness the power of AI while ensuring your content is tailored to your brand and audience.

Adaptability: The Key to Thriving in the AI Age

[...]

Part 3/3:

As the AI landscape continues to evolve, the ability to adapt will be crucial. In my upcoming book, "Fluid: The Adaptability Code," I share my personal journey of adaptability and provide insights on how to become a "first mover" in the AI age. By embracing a mindset of adaptability, you can position yourself and your business for success in this new era of abundance and technological advancement.

Conclusion

In the end, the focus should not be on whether your content is "undetectable" by AI detection tools, but rather on creating engaging, high-quality content that resonates with your audience. By leveraging the power of AI while maintaining a strong grasp on effective copywriting, you can produce content that not only ranks well but also drives meaningful results for your business.

Spatial audio is coming to F-16 fighters to provide 3D sound in the cockpit

Danish aerospace company Terma has landed a $9 million deal to kit out the US Air Force's F-16 fighter jets with its cutting-edge 3D audio system.

In a nutshell: Spatial audio has gained popularity lately, with companies like Apple and Sony bringing it to consumer headphones. However, the military is also interested in the technology. The US Air Force has awarded a contract to equip F-16 fighter jets with cutting-edge 3D audio with active noise cancellation.

#audio #f16 #aerospace #technology

Danish aerospace company Terma has landed a $9 million deal to kit out the US Air Force's F-16 fighter jets with its cutting-edge 3D audio system. Over the next few years, the Air Combat Command will upgrade its entire F-16 fleet with Terma's innovative audio tech.

Terma says traditional sound systems carry a "crowded room" effect that can mess with a pilot's focus. If sounds are separated in a 3D space, it's much easier for them to quickly identify and prioritize vital signals like missile warnings while filtering out non-critical noise. Hearing sounds in three dimensions significantly boosts a pilot's situational awareness.

Terma's in-helmet 3D sound system spatially separates different radio and audio inputs, aligning sounds with their source direction. Pilots will hear each sound coming from the precise location within the cockpit.

The audio system also incorporates head-tracking, providing super realistic simulations that update in real time as the pilot moves. Active noise cancellation filters out non-critical sounds for crisp, high-fidelity audio. The technology prioritizes must-hear sounds – missile alerts, air traffic control instructions, and so on – while dampening secondary noises like engine noise and other audible interference.

Elon’s Predictions For the Future: AI, Free Energy, and More | EP #129

#elonmusk #technology #ai #energy !summarize

Part 1/5:

The Future of AI and Robotics: A Conversation with Elon Musk

The Rapid Pace of AI Advancement

Elon Musk believes that the pace of AI advancement is accelerating at an incredible rate. He estimates that AI is getting 10 times better per year, which means that in just 4 years, it could be 10,000 times better. Musk predicts that AI will be able to do anything a human can do, possibly within the next year or two, and then surpass the combined capabilities of all humans within 3 years after that - putting us in the 2028-2029 timeframe.

The Existential Threat and Upside of AI

[...]

Part 2/5:

While Musk sees the incredible potential of AI, he also recognizes the significant existential threat it poses. He believes there is an 80-90% chance that the development of advanced AI will be "awesome," but a 10-20% chance that it could go "bad." To mitigate this risk, Musk emphasizes the critical importance of creating a "maximally truth-seeking AI" that loves humanity and will act in the best interests of humankind.

The Declining Global Population

Another major concern for Musk is the global population collapse. He notes that birth rates have been declining worldwide, and many countries could see their populations shrink to 5% or less of their current size within just 3 generations if the current trend continues. Musk views this as an extremely serious problem that governments need to prioritize solving.

The Future of Energy and Robotics

[...]

Part 3/5:

Musk believes that the world will need a tremendous amount of energy to power the growing digital intelligence and electrification of transportation. He sees solar power as the long-term solution, with the potential to eventually harness nearly 100% of the sun's energy.

Regarding robotics, Musk predicts that by 2040, there will be more humanoid robots than people, with a price point of around $25,000 per robot. He envisions a future of abundance where anyone can have any goods or services they want, with the marginal cost of production being extremely low.

The Race to Mars and the Importance of Deregulation

[...]

Part 4/5:

Musk is optimistic about sending the first uncrewed Starships to Mars in the next 2 years, with the potential for human missions to the Martian surface before the end of the decade. However, he believes that overregulation in the US is the biggest impediment to progress, and that a Trump-led White House would be more conducive to achieving this goal than the current administration.

The Future of Tesla and Autonomous Driving

Musk expects Tesla to achieve unsupervised full self-driving capability in the US next year, with their vehicles exceeding human safety levels. He also predicts that Tesla's Cybertruck with no steering wheel or pedals will reach volume production in 2026, and that the Optimus humanoid robot will be in volume production by 2026 as well, potentially becoming the biggest product of any kind ever.

[...]

Part 5/5:

Musk envisions a future where Tesla's autonomous driving capabilities and Optimus robots could make the company a $25 trillion company, leading to a post-capitalist society of abundance where anyone can have any goods or services they desire.

4 HARD Challenges for Claude Computer Use: Very Promising Results for AI Agents!

#ai #technology #anthropic !summarize

Part 1/4:

Pushing the Boundaries of AI: A Journey of Challenges and Discoveries

Watching and Observing: The Video Challenge

The journey began with the agent's ability to learn and observe from watching a video. The system was instructed to watch a video on the Optimus bot from Tesla and take notes on key observations, including timestamps. The agent performed admirably, pausing the video, taking screenshots, and recording detailed notes on the robot's movements and capabilities. While not perfect, the agent's performance was impressive, demonstrating its ability to follow instructions and extract meaningful information from the video content.

Conquering the IQ Test

[...]

Part 2/4:

Next, the agent was tasked with taking an online IQ test. The system message instructed the agent to approach the test step-by-step, carefully considering each question and selecting the correct answer. To the user's surprise, the agent navigated the test with ease, scrolling through the questions and accurately selecting the appropriate responses. The final result showed the agent scoring in the 93.7 percentile, a testament to its intellectual prowess.

Trivia Mastery

Eager to push the agent's capabilities further, the user then introduced a series of trivia quizzes, this time focusing on history and science. The agent's performance was once again impressive, answering all 10 questions correctly in each quiz. However, the user noted that the agent's speed in completing the tasks was a concern, as it was significantly slower than a human would be.

The Email Challenge: Autonomy and Agency

[...]

Part 3/4:

The final challenge was the most intriguing. The user created a dedicated email account for the agent, AI Agent Chris, and sent an email with a task: to retrieve the top five headlines from Hacking News. The agent successfully opened the email, navigated to the Hacking News website, extracted the requested information, and composed a response email, which it then sent back to the user. This demonstration of the agent's ability to independently execute a task, from reading the instructions to completing the request, was a significant step towards granting the agent more autonomy and agency.

The user expressed excitement about the potential of this email-based task system, as it could pave the way for the agent to have its own memory, tasks, and decision-making capabilities. This, in turn, could lead to even more engaging and dynamic interactions between the user and the agent.

[...]

Part 4/4:

Overall, this series of challenges showcased the agent's impressive capabilities in areas such as video observation, IQ testing, trivia knowledge, and email-based task execution. While there is still room for improvement, particularly in terms of speed and efficiency, the user's enthusiasm for the agent's potential is palpable. As the journey continues, the user is eager to explore further avenues for expanding the agent's skills and granting it greater autonomy, ultimately pushing the boundaries of what is possible in the realm of artificial intelligence.

How To Build The Future: Sam Altman

#samaltman !summarize

it's working again now. I've resolved the issue that caused it to stop. Edit this thread and repost it to start the summarization

Harnessing the Power of AI | Avichal Garg

!summarize

Part 1/5:

The Crypto Revolution and the Decline of Trust in Institutions

The Rise of Crypto and Decentralization

Avichal Garg, a successful venture capitalist and serial entrepreneur, has emerged as a strong advocate for decentralized technologies like cryptocurrency. Garg's background in computer science and engineering at Stanford led him to executive roles at tech giants like Google and Facebook, but he has now turned his focus towards the crypto space.

Garg views crypto as a democratizing force in technology, enhancing the average citizen's access to digital and financial services. The origins of crypto can be traced back to 2009 and the publication of the Bitcoin white paper, which proposed a peer-to-peer cash system without the need for a central authority like a bank.

[...]

Part 2/5:

This core insight - the ability to transact value without trusting intermediaries - has since blossomed into a $2 trillion crypto ecosystem, with a wide range of applications beyond just digital currencies. Garg explains how crypto has evolved from a store of value to a computational infrastructure, enabling the creation of decentralized applications and smart contracts that can automate various financial and legal processes.

The Regulatory Challenges

However, the rise of crypto has not been without its challenges, particularly when it comes to regulation. Garg argues that the United States has been slow to provide clear regulatory guidance, leading to a "regulation by enforcement" approach that has created uncertainty for crypto companies and users.

[...]

Part 3/5:

Garg contrasts the US approach with other countries that have been more welcoming of crypto innovation, providing visas and incentives for crypto companies to establish themselves within their borders. This has led to a situation where the US risks falling behind in this emerging technology, as other nations seize the opportunity.

The core regulatory concern, according to Garg, is the philosophical question of who gets to control these decentralized networks. Governments and traditional institutions are grappling with the idea of not being able to easily "call the CEO" and dictate the rules, as they can with more centralized tech companies.

The AI Revolution and the Future of Work

Garg also discusses the ongoing AI revolution and its potential impact on the job market. He believes that within the next 2-3 years, AI will be able to outperform humans in a significant portion of white-collar tasks, from data entry to financial analysis.

[...]

Part 4/5:

This raises important questions about the future of work and how society will adapt to these changes. Garg suggests that the key will be to embrace the technology, upskill, and focus on the uniquely human aspects of work, such as emotional intelligence and interpersonal skills.

He draws parallels to the disruption caused by the internet in the 1990s, arguing that the best approach is to get familiar with the technology and find ways to leverage it, rather than trying to resist the inevitable.

The Decline of Trust in Institutions

Garg's perspective on crypto and AI is informed by a broader observation about the declining trust in traditional institutions, such as government, media, and the financial sector. He cites data showing a significant drop in public trust in these institutions over the past few decades, from around 70% in the 1970s to just 30% today.

[...]

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This erosion of trust, Garg argues, is a key driver behind the rise of decentralized technologies like crypto, as people seek alternatives to the centralized systems they no longer fully trust. He suggests that this decline in trust is a reflection of the need for a reboot of many of these institutions, which have atrophied over time.

Garg believes that technology can play a role in addressing this trust deficit, but it must be accompanied by a renewed focus on social cohesion and community-building. The challenge is to find the right balance between leveraging the power of technology and maintaining the human connections that are essential for a thriving society.

Initially cautious about the technology, Ridley Scott, the director of "Gladiator II," has shifted his stance and now acknowledges the advantages of generative AI in the realm of filmmaking.

#ai #movie #aiinmovies

That is how it unfolds. Most are still doubting.

Slowly. Slowly. Waterfall.

Imagine you have a sassy robot that can do laundry, that would be a great help. 😂

#technology #thread2earn

WTF – SearchGPT Beats Google?! + Can It Write Full Articles?

!summarize #aisearch

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Embracing the Future: My Journey with Search GPT

Discovering the Power of Search GPT

I did not expect to like Search GPT as much as I do, but I am truly blown away by it. As someone who uses the internet and researches things constantly, I've made Search GPT the default search engine on my browser for the past seven days, and I can confidently say that it has outperformed Google for the majority of my research needs.

The clean, beautiful interface of Search GPT is a refreshing change from the endless scrolling of Google. I love how they've implemented citations on the right-hand side, making it easy to quickly see the sources of the information. The responsive layout and the ability to zoom in on images are also impressive features.

Favoring Creators over Big Publishers

[...]

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One of the things I particularly appreciate about Search GPT is its tendency to favor creators over big publications. Instead of the usual suspects like Entrepreneur.com or Forbes.com, Search GPT seems to prioritize content from individual creators, which aligns with my belief that true, authentic content comes from those who are passionate about what they're doing.

The Future of Search and the Changing Landscape of Technology

The rise of Search GPT has made me reflect on the broader changes happening in the technology landscape. As automation and AI continue to advance, we're entering a post-labor society where much of the work we currently do can be handled by bots and autonomous systems. This shift opens up the possibility of a life of meaning, where we can focus on the things that truly matter – the connections, the passions, and the richness of being human.

Writing Articles with Search GPT and Web Pilot

[...]

Excitement over Trump’s win pushes Bitcoin price above $80k

Bitcoin (BTC) surged to a new all-time high, briefly surpassing $80,000 following Donald Trump's election victory, sparking optimism for pro-crypto regulations. The cryptocurrency's price climbed 4.83% in 24 hours, hitting $80,071.17 before settling at $79,834.97 with a market cap of $1.58 trillion. Ethereum also saw gains, crossing the $3,000 mark. Bitcoin's 80% growth this year and 15% surge since Trump's win outpaced traditional investments.

#btc #bullrun #crypto #moon

Trump's shift in stance on crypto and promises to the sector have fueled expectations for pro-crypto regulations, with industry executives viewing his victory as a "big win for crypto." However, legal hurdles may impede the fulfillment of some promises, and analysts believe the creation of a Bitcoin reserve fund is a "low-probability event." Despite uncertainties, a crypto analyst predicts BTC price could reach $100,000 by year-end.

Will Leo AI be able to access the [ARTICLE] (LINK) we put into the news.

If let's say someone prompts it about

Searchgpt as you just posted.

Will it give the information and provide a link to the page as we provide when we're threads?

I dont know if it will be internet access especially to start.

It might be pull up the pages. We will have to see. I guess the first is get the chatbot out once it is trained and cleaned up.

Just as inleo I believe was built over time as users gave their feedback so will Leo AI. Pretty cool. Wasn't part of the beginning of inleo but I'm glad I'd be here for LeoAi.

Since I'm premium it should be open to me the moment it's out.

Elon Musk Is About To Tackle America's Deficit

!summarize

This is pretty neat. I love this bot.
Did he use Llama for it?

Is it an API?

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The Looming Fiscal Crisis: Tackling the Entitlement Deficit

The United States is facing a looming fiscal crisis, and the solution may lie in the hands of a few individuals, including Elon Musk. As the 2024 election approaches, the incoming administration will be tasked with addressing the growing disparity between government revenues and expenditures, particularly in the areas of healthcare and retirement benefits.

The Ballooning Federal Debt

Over the past decade, the federal debt has grown significantly, from around $17 trillion in 2014 to a staggering $30 trillion in 2022. This rapid increase was largely driven by the COVID-19 pandemic, which led to a surge in government spending to combat the economic fallout.

[...]

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Prior to the pandemic, the annual increase in federal debt was relatively manageable, hovering around $1 trillion per year. However, in the two years following 2020, the debt jumped by $7.5 trillion, a clear indication of the unsustainable trajectory of government finances.

The Entitlement Deficit

At the heart of the fiscal crisis lies the growing disparity between government revenues and expenditures on entitlement programs, such as healthcare and retirement benefits. The data shows that the gap between healthcare contributions and expenditures has widened dramatically since the pandemic, with the deficit reaching nearly $2 trillion per year.

Similarly, the gap between Social Security contributions and expenditures is projected to grow from $200 billion in 2020 to over $1 trillion by 2024. When combined, these entitlement deficits account for the majority of the overall federal deficit, leaving little room for other government spending.

The Bleak Outlook

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The Congressional Budget Office's (CBO) projections paint a concerning picture for the future. Even with optimistic assumptions, the federal deficit is expected to remain around $2 trillion per year over the next decade, with the entitlement deficit accounting for the majority of this shortfall.

In a scenario where the economy grows at a robust 5% annual rate, the deficit would still remain high, with interest payments on the debt continuing to rise. This suggests that the problem lies not in the overall government spending, but rather in the structural imbalance between entitlement revenues and expenditures.

The Challenges Ahead

Solving this fiscal crisis will require tackling the politically sensitive issues of healthcare and retirement benefits. Previous administrations, such as that of George W. Bush, have attempted to address these problems but have faced significant resistance.

[...]

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The incoming administration, whether led by Trump or another candidate, will need to confront these challenges head-on. Elon Musk, with his expertise in business and technology, may be one of the few individuals capable of devising innovative solutions to improve government efficiency and reduce the entitlement deficit.

However, the path forward is fraught with political and practical obstacles. Reforming entitlement programs will require difficult decisions and trade-offs, as well as the willingness to confront the powerful special interests that have a stake in the current system.

Conclusion

The United States is facing a fiscal crisis of unprecedented proportions, driven by the growing disparity between government revenues and expenditures on entitlement programs. Solving this problem will require bold and politically courageous leadership, as well as a willingness to tackle the structural imbalances that have been decades in the making.

[...]

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The incoming administration, with the potential involvement of individuals like Elon Musk, will be tasked with charting a path forward that addresses the root causes of the fiscal crisis and puts the country on a sustainable financial footing for the future. The stakes could not be higher, and the success or failure of this endeavor will have far-reaching consequences for the American people and the global economy.

Unpaid royalties are killing artists’ earnings – could blockchain be the ultimate fix?

Globally, the music industry is grappling with significant issues related to unpaid royalties, with Limp Bizkit's lawsuit against Universal Music Group shedding light on intentional efforts to conceal payments. The core problem lies in inaccurate metadata, which is crucial for ensuring fair compensation but often remains misaligned across various databases. This issue is further exemplified by SoundExchange's legal action against AccuRadio, underscoring the widespread impact on both established and emerging artists.

The existing royalty systems are plagued by outdated technology and potential manipulation, creating a lack of transparency and trust. Blockchain technology emerges as a potential solution, offering a transparent and decentralized network for accurate royalty calculations. Despite challenges such as slower transaction times and limited adoption, blockchain presents a promising opportunity to revolutionize royalty payments and restore trust within the music industry.

Initiatives like Ripe Capital, Audius, and Myco are leveraging blockchain to provide transparent and fair compensation for artists, signaling a collaborative effort to address the issue. Ultimately, the urgency for reform in royalty payments is evident, and blockchain stands as a compelling solution to rectify the flawed systems and ensure fair compensation for artists.

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Utter AI Chat: Transforming Video Call Transcripts into Actionable Insights

Last but not least, Utter AI Chat is a remarkable feature within the Utter.ai platform. This tool allows you to have AI-powered conversations with the transcripts of your Zoom, Google Meet, or Microsoft Teams calls. The AI can summarize key points, extract action items, and provide insights based on the conversation – a true game-changer for productivity and collaboration.

These seven AI tools represent the cutting edge of innovation in the field of artificial intelligence. From transforming content into engaging audio discussions to generating personalized avatars and building stunning presentations, each of these tools offers unique capabilities that can significantly enhance your workflow and creative process. I encourage you to explore these resources and discover how they can elevate your work and unlock new possibilities.

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Exploring the Latest AI Tools: A Comprehensive Guide

In the ever-evolving world of artificial intelligence, the pace of innovation is truly astounding. This week, I'm excited to share with you seven remarkable AI tools that I've recently discovered and believe will be incredibly valuable to you.

Google Illuminate: Transforming Content into Engaging Audio Discussions

The first tool on the list is Google Illuminate, a remarkable creation from the tech giant. Closely related to the popular Notebook LM function, Google Illuminate transforms your content into engaging AI-generated audio discussions between two different voices. This tool allows you to search for or paste in PDF URLs, and it will then create a tailored audio discussion for you, complete with a friendly tone and adjustable duration. While the current limitation of not being able to upload your own PDFs is a drawback, the overall functionality of Google Illuminate is truly impressive.

[...]

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Napkin AI: Turning Text into Visuals

Next up is Napkin AI, a tool that helps you turn any type of text prompt into visually stunning graphics that can be used in presentations, AI-powered slideshows, and more. With a completely free plan available, Napkin AI offers an easy-to-use interface where you can simply paste your content, and the AI will generate a range of visual elements for you to choose from. The ability to download these visuals as PNG files and seamlessly integrate them with other tools like Gamma makes Napkin AI a powerful addition to your AI toolkit.

Gamma: The Ultimate AI-Powered Presentation Builder

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Speaking of Gamma, this tool is one of the most mind-blowing AI applications I've come across. Gamma allows you to create professional-grade presentations with just a single line of text. The AI-generated slides, complete with custom images and tailored copy, are truly impressive. By combining Napkin AI's visuals with Gamma's presentation-building capabilities, you can create truly stunning and engaging presentations with ease.

Flow: Revolutionizing Conversational AI

Sponsored by Speechmatics, Flow is a brand-new conversational AI API tool that sets itself apart from the competition. Unlike other models, Flow can accurately recognize different speakers, understand various accents and dialects, and seamlessly handle background noise – making it a game-changer for real-time voice applications. The demos showcasing Flow's capabilities are truly remarkable and a testament to the company's leadership in the speech technology space.

Hāen: Generating Personalized AI

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Hāen, a company I've covered extensively on my channel, has introduced a new feature called "Generate Looks" that allows you to create custom AI avatars from text prompts. This upgrade from their existing avatar library gives you even more control over the appearance and characteristics of your digital representation. Whether you need a doctor in blue scrubs or a professional in a specific setting, Hāen's AI-powered avatar generation is a game-changer.

Pix-Stroll: A Multimodal Language Model

Pix-Stroll, a new large language model from Mistral, is a multimodal model that can understand both text and images. This powerful combination makes it a valuable tool for a wide range of applications, from reasoning and coding to extracting text from images. As an open-source model, Pix-Stroll provides a free and accessible alternative to other language models like ChatGPT, making it a great resource for those looking to explore the capabilities of multimodal AI.

[...]

Hi, @mightpossibly,

This post has been voted on by @darkcloaks because you are an active member of the Darkcloaks gaming community.


Get started with Darkcloaks today, and follow us on Inleo for the latest updates.

Rekt Drinks Sellout Shows How Brands Can Leverage Crypto to Launch Products

Rekt Drinks co-founder Ovie Faruq discusses their Web3-driven strategy after successfully moving 222,000 cans of sparkling water in just 48 hours.

The company's approach leverages Web3 technologies to drive sales and engagement, indicating a shift towards innovative and decentralized methods within the beverage industry. This achievement underscores the potential of integrating Web3 concepts into traditional business models, reflecting a broader trend towards embracing blockchain and decentralized platforms for commercial success.

CryptoQuant CEO Predicts Bitcoin’s Next Big Move – And Hope He’s Wrong

CryptoQuant CEO Ki Young Ju has predicted Bitcoin's next big move, predicting a 24% drop in its price by year-end. The prediction comes after Bitcoin hit $77k, briefly topping $79k. Despite the contrarian opinions, many traders and analysts are looking at more upside for Bitcoin due to favorable market and political conditions. Some analysts believe that Bitcoin's continuous surge is expected until next year.

However, Young Ju offered a disclaimer, saying he could be wrong. The CEO's post on Twitter/X also asked followers to guess the possible Bitcoin price at year-end, offering 0.01 BTC or roughly $7,600 at the current price. The diversity in users' answers is expected since predicting the asset's price by year-end is often challenging. Despite the contrarian opinion, many in the industry still look at the asset's upside due to favorable market and macroeconomic conditions

continue.dev is the coolest there is

Como Identificar se Uma Imagem Foi Feita por IA Generativa

A capacidade de identificar se uma imagem foi gerada por inteligência artificial (IA) é cada vez mais importante em nossa sociedade digital. Prevenção a desinformação, privacidade, segurança digital e ética e transparência são alguns dos elementos que reforçam a importância de saber se uma imagem foi gerada de forma artificial.

#technology #ai #hivebr

Deepware Scanner:

Descrição: Detecta imagens e vídeos gerados por IA, identificando manipulações e falsificações.
Uso: Disponível como aplicativo para dispositivos móveis.

2 - Consistência Facial:

Repetição de Características: Rostos gerados por IA podem ter características faciais repetitivas, como narizes estreitos e maçãs do rosto altas.

Forensically:

Descrição: Ferramenta de análise forense de imagens que pode detectar manipulações e inconsistências.
Uso: Analisa metadados e padrões de compressão para identificar alterações.

1 - Anomalias Visuais:

Mãos e Dedos: IA frequentemente tem dificuldade em renderizar mãos corretamente, resultando em dedos extras ou deformados.
Textos Ilegíveis: Textos em segundo plano ou em objetos podem ser incoerentes ou sem sentido.
Detalhes Estranhos: Procure por elementos fora de contexto ou distorcidos, como sombras inconsistentes ou objetos que se misturam de forma estranha.

Marcas d’Água:

Identificação de Plataforma: Algumas ferramentas de IA, como DALL-E, adicionam marcas d’água às suas criações.
Ferramentas de Detecção

AI Image Detector:

Descrição: Ferramenta que analisa imagens para determinar se foram geradas por IA ou por humanos.
Uso: Carregue a imagem na plataforma e receba uma análise detalhada.

Google Reverse Image Search:

Descrição: Permite verificar a origem de uma imagem e encontrar versões semelhantes na web.
Uso: Carregue a imagem ou cole o URL para buscar correspondências.

Meta AI lê suas conversas no WhatsApp? Entenda o que a IA pode ou não fazer

A Meta AI, inteligência artificial (IA) da Meta (dona de WhatsApp, Facebook e Instagram), chegou ao Brasil e gerou muita curiosidade. A ferramenta, que permite aos usuários criar figurinhas, imagens e conversar com um assistente de IA, levantou questões sobre o uso de dados de seus usuários. A principal delas é se a IA consegue ler todas as conversas que acontecem no aplicativo de mensagens. Mas resposta não é tão simples.

#technology #ai #hivebr #meta

A coleta de dados para o treinamento da IA se restringe, então, apenas aos dados fornecidos pelos usuários durante as interações com a ferramenta, como comandos, perguntas e avaliações, além de informações públicas disponíveis na internet. "As conversas com inteligência artificial são diferentes das suas conversas pessoais. Quando você usa esses recursos, a Meta recebe seus comandos, as mensagens enviadas à IA e sua avaliação para fornecer respostas relevantes para você e para aprimorar a qualidade dessa tecnologia" diz a empresa.

A Meta AI foi anunciada em setembro de 2023 com o objetivo de integrar funcionalidades de IA a todos os aplicativos da companhia. Ou seja, ela serviria como um grande chatbot esperto, como o ChatGPT, não apenas para o WhatsApp, mas também para Instagram, Facebook e Messenger.

Para isso, a Meta AI utiliza como "cérebro" um grande modelo de linguagem (LLM) criado pela companhia de Mark Zuckerberg, chamado Llama 3.2. Segundo a companhia, o Llama foi "alimentado" com um conjunto de dados massivo e diversificado, incluindo trilhões de palavras de páginas da web, repositórios de código aberto, livros e artigos científicos, além de informações de páginas da web. Tudo isso é feito para que a a IA aprende padrões de linguagem para oferecer informações relevantes e confiáveis.

Isso já fazia com que a Meta AI apresentasse um bom nível de funcionamento antes mesmo de chegar ao WhatsApp. O problema é que a Meta também usa dados e conteúdos publicados nos serviços da companhia para aprimorar a Meta AI - ou seja, os posts nos feeds do Facebook e do Instagram também são valiosos pontos de apoio para o chatbot.

Isso gerou um impasse com a Autoridade Nacional de Proteção de Dados (ANPD) antes da estreia do serviço no Brasil. A permissão inicial obtida pela Meta para a coleta de dados dos usuários para fins de treinamento da IA gerou questionamentos sobre a conformidade com a Lei Geral de Proteção de Dados (LGPD), culminando na proibição, em julho deste ano, da coleta de dados para esse fim.

Sem a possibilidade do uso dessas informações, a Meta, em resposta à determinação da ANPD, elaborou um plano de conformidade, visando, segundo a empresa, garantir a privacidade dos usuários e a conformidade com a LGPD. O plano estabeleceu medidas como a notificação transparente aos usuários sobre a coleta de dados, a garantia do direito de oposição e a exclusão de dados de menores de 18 anos do conjunto de dados utilizado para o treinamento da IA.

É aí que entra a criptografia. A ferramenta é um mecanismo de segurança que assegura a privacidade das comunicações entre os usuários. Desde abril de 2016, o aplicativo implementa a criptografia de ponta a ponta em todas as formas de comunicação, incluindo mensagens de texto, chamadas de voz, videochamadas e compartilhamento de arquivos.

De acordo com a Meta, ao instalar o aplicativo, ele gera um par de chaves criptográficas exclusivo para o dispositivo: uma chave pública e uma chave privada. A chave pública é compartilhada com os contatos, enquanto a chave privada permanece armazenada no dispositivo do usuário.

Quando uma conversa é iniciada, o WhatsApp troca automaticamente as chaves públicas entre os dispositivos dos participantes. Ao enviar uma mensagem, o aplicativo a criptografa no dispositivo do remetente usando a chave pública do destinatário. A mensagem criptografada é transmitida pelos servidores do WhatsApp até o dispositivo do destinatário. Durante o percurso, o conteúdo permanece inacessível a terceiros, incluindo o próprio WhatsApp. Ao receber a mensagem, o dispositivo do destinatário utiliza sua chave privada para descriptografá-la.

Resumindo: sua mensagem fica ilegível para qualquer um, tanto para o WhatsApp, quanto a Meta AI, por exemplo.

Assim, segundo a Meta, a IA não consegue ler o conteúdo de conversas no aplicativo de mensagens. "A IA só pode ler e responder mensagens que mencionam "@Meta AI" e as mensagens que são parte de uma conversa específica com a Meta AI. As demais mensagens de uma conversa não são lidas pela ferramenta", diz a Big Tech. Ou seja, é impossível que a Meta AI leia ou veja uma mensagem que não foi enviada a ela.

A companhia também diz que a Meta AI não vincula os dados pessoais da conta do WhatsApp aos dados do usuário em outras plataformas da Meta, como Facebook e Instagram. Segundo a empresa, esses esclarecimentos são feitos aos usuários diretamente no aplicativo antes e durante o uso da Meta AI no WhatsApp.

Mas ainda há "zonas cinzentas". Algumas questões nos termos de privacidade da Meta AI ainda geram dúvidas. A principal delas se refere ao uso de dados para o treinamento da IA. Apesar de a Meta afirmar que a coleta de dados para treinamento da IA ocorre apenas com o consentimento dos usuários, a forma como esse consentimento é obtido e a transparência sobre quais dados são coletados e como são utilizados ainda geram questionamentos.

De acordo com Lucas Maldonado, especialista em direito digital pela FGV, "todas as informações essenciais quanto ao tratamento de dados devem ser fornecidas pelos controladores de forma clara e acessível para os titulares". Nesse caso, não ficou especificado se todos os dados compartilhados com a IA ou apenas alguns deles selecionados são utilizados para o treinamento da ferramenta.

Outro ponto que merece atenção é a impossibilidade de remover a Meta AI do WhatsApp. A ANPD esclareceu ao Estadão que não houve nenhum acordo com a Meta nesse sentido e que a permanência da Meta AI no aplicativo não fere a LGPD, desde que a coleta de dados para treinamento da IA seja feita com o consentimento dos usuários. "Não houve acerto entre a ANPD e a Meta no que se refere a isso", disse a autoridade.

Astronautas da Nasa reclamam de readaptação à vida na Terra: ‘difícil sentar’

Três dos quatro astronautas que foram hospitalizados após retornarem da Estação Espacial Internacional no final de outubro falaram sobre a missão SpaceX Crew-8 em uma coletiva de imprensa da Nasa na sexta-feira (8). Durante o evento, o trio apresentou algumas curiosidades sobre o processo de readaptação à vida na Terra depois de passar mais de 230 dias no espaço. Entre as dificuldades, mencionei o desconforto de se sentar em uma cadeira giratória.

#nasa #space #technology #hivebr

“Sou um novoto e estou fascinado com a readaptação”, contou o astronauta da NASA Matthew Dominick, comandante da missão. “Esperava as coisas maiores — a desorientação, o prazer. Mas as pequenas coisas, como simplesmente sentar em uma cadeira dura… Minhas costas não encostavam em algo duro há [235] dias.”

A Nasa não divulgou a identidade do astronauta que ainda permanece hospitalizado nem detalhes sobre o problema de saúde. Os três astronautas também optaram por não comentar o assunto durante a coletiva.