The Great Technological Acceleration

We are embarking upon a prolonged period of sustainable change. This is moving at such a rate which is making our present metric obsolete.

Many are trying to make sense of what is taking place. However, the reality is, quite frankly, too difficult for most to absorb.

If we look at just generative AI, we see a path where progress is being made at speed never witnessed before. When this is extrapolated over 10-15 years, the impact upon society will be profound.

In this article I will discuss the extreme pace of the world of bits and then compare that to atoms. For much of history, we see very little change in the latter.

This is about to be completely upended.


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Digital Warp Speed.

Do you think generative AI is moving at an accelerated pace? Are you one who thinks it will slow down?

Here are a few stats that might make one rethink that:

  • algorithms improve enough to cut compute times in half every 16 months as measured on Imagenet
  • cost of compute is doubling every 2.5 years. That means twice the compute for the same money
  • total compute (CPU) is doubling every 6 months
  • spending on compute models is doubling every 2 years

Groq state that a report by IDC, the global digital data volume is expected to grow from 64.2 zettabytes (ZB) in 2020 to 175 ZB by 2025, representing a compound annual growth rate (CAGR) of 44.3%. Gartner puts this figure between 30%-40%.

It is easy to see from these numbers why the digital world is expanding so rapidly. We did not even include the amount going into things such as inference, which could outpace the processing used in training neural nets by at least an order of magnitude.

Keep in mind that AI can be basically summed up as data wrapped in algorithms and powered by compute.

As we can see, each of this is advancing rapidly.

The world of bits is one of exponential. When focused upon a specific technology, such as generative AI, we see how a slowdown is not likely happening anytime soon.

Of course, as they say, you can't eat a semiconductor. Therefore, let us take a look at the world of atoms.

Physical World Acceleration

The physical world changed a great deal. In fact, it transformed as much as the digital, only over a longer period.

Go back a few hundred years. How long did it take one to cross Italy. Remember the days of horse and carriage? Compare that to now. We not only have automobiles, high speed trains, but also planes. Actually, the International space Station can circle the planet in about 90 minutes.

Consider digging a hole.

How many people with shovels would it take to dig an Olympic size swimming pool? I would be the answer is many and it would take a number of days.

Let us consider how two people with backhoes could do it. My guess is they could get it done in a day.

We have cranes, equipment in factories, and other physical items that accelerate tasks. Have you used a manual drill? Of course not. We have power tools.

All of this sped up transportation, manufacturing, and construction. However, it still lags behind, by a large degree, the digital world.

Closing the Gap

For the purpose of this article, we will use the digital world as a baseline 100. When comparing the physical world to that, maybe we are at a 5. This is the spread between the acceleration of the two realms.

This is going to close. The digital is about to be released into the real world, in the form of embedding. To put it simply, the robots are coming.

Naturally, we are never going to see the world of atoms match the digital. A 100 will never be attained.

That said, what will robots push this number to? When comparing economic productivity, i.e. output, it usually takes a new being (a baby) about 2 decades to make a contribution. We also have the manufacturing cycle of one (for the most part) every 9 months.

With robots, the "reproduction" time is much smaller. One scaled, it is likely a new robot will come off the line every minute or so. When coupled with AI, the learning process is simply an updating to the latest software.

This means the learning curve is next to nothing.

Hence, we are likely looking at a baseline of 25 or maybe 30. Naturally, these are just estimates of raw numbers that are immaterial. The point is we can easily see a 5x (or more) in the acceleration of our physical world.

What does this mean for output? At the same time, what does it mean for society?

If we take this concept and apply it towards 2040, things get very interesting. People like to debate whether we will have AGI, ASI, or some other form of intelligence. That is great for discussion but really matters little for the impact.

Whatever it is called, we are about to embark upon a massive acceleration of both the digital and physical worlds, The latter will always lag the former yet that it about to get a major boost.

By 2030, this will likely be in full swing.


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There is really massive acceleration in what we are trying to communicate in this our recent world and it is awesome to actually see that these are taking place

What I do NOT want to have happen is trying to forcefully implant something into us. Having a phone with us is one thing, but the notion that in order to compete, you need to directly incorporate your flesh to the machine via implanted stuff is a line I will not cross. It doesn't end well for people if that happens, IMO. I know they are going to push it though, with some success but hopefully not a lot.

The rate of technological change is fascinating nonetheless though!

There will be a divide between those who are connected and the ones who do not.

We still have people who refuse to use smart phones.

If the digital and physical world advances at a breakneck pace, it is time for humans to balance.

Turning more inward, towards ourselves, in a meditative concept, without dogmas. Perhaps we would achieve more humanity, more harmony, more peace.

If AI and robots help, if they do for us, then we have more time to delve into ourselves and reflect on what we want to do to planet earth.

Perhaps this is the function of speeding up the digital and physical world.

Great points. If AI and robotics take the work off our plates, will humans turn to more worthwhile ventures or chase more nonsensical "goals", mostly programmed into us by people profiting from it.

Well, that's a big question.
Let's hope for the best.
Hugs and happy Sunday.

Great topic… you made me think. The first flight was made by the Wright Brothers in 1903, and in 1969 they reached the Moon. Now we can't even keep up with progress. I think about music, first I listened to it on cassette tapes, then on CDs, then on USB sticks and now in streaming on my phone. 4 technological changes in a 50 year lifespan.

All valid points.

You can do the exercise in many ways. Here is a fun one, think about how communication has changed. You started with a phone connected to the wall. Then portable, mobile, all the way to Zoom.

Remember the Jetsons' video calls? They are now reality.

you're right... communication methods have actually changed a lot! I remember sending letters written on paper when I was young

Yep. There was a lot. We use to write physical checks to pay all our bills.

I agree. Since the advancements in technology and training will only push the acceleration faster, I wouldn't be surprised if it looked parabolic at one point. But I do think that there is still the looming ceiling of available data, and AGI. The AI are going through data more than new ones can be created. Once they have trained on all of the available data, we are also not sure if it will result in AGI. For now, I think the developers are looking ahead and are already planning on how to break through those ceilings.

Embedded AI solves that. Think about how much data you amass that isnt captured. Anything your eyes see is recorded in your brain but is not part of the digital data (as of yet).

That isnt true with cameras in a robot for example.

I think visual and audio data is pretty low on importance, since the AI will have a lot of training data for it from video recordings and examples. I think it is the smell, taste, and other particles in the air that will benefit AI greatly since those are harder to collect and analyze. Although I don't know when they can make the technology small enough to do that, and to mass produce it.