AGI Significance Paradox: As progress accelerates towards AGI, the number of people who realize the significance of each new breakthrough decreases.

Why is it that you can boil a frog in water without it jumping out if you gradually increase the temperature?
The problem for the frog is that it does not have the internal models to realize that there is a change in the water temperature. A cold-blooded creature like the frog has its temperature regulated by the external environment.
To recognize change, an agent must have an internal model of reality that is able to recognize this change. Unfortunately, a majority of the population do not have good models of human general intelligence.
In fact, even the simplistic dual-process model of system 1 and system 2 is not very well known.
Recent big developments was muZero, AlphaFold2, GPT-3 and Dall-E. GPT-3 did receive a lot of attention, but the other 3 likely have not. To understand muZero and AlphaFold2 requires a high level of expertise. Dall-E is actually like GPT-3 but it's more difficult to grasp.
We are going to continue to get these incremental developments for several years. But the audience that recognizes its importance will continue to decline. Then suddenly, boom... we get to AGI and most people will be in shock. Shocked because they thought there was no progress.
The quantum leaps (punctuated) in evolution is a consequence of many incremental developments that accrue. It is only when the final piece in the jigsaw puzzle is found when the revolution is expressed.
But it takes unusual expertise to know that we are accelerating towards AGI. The problem is that it is not obvious how human intelligence actually works. We simply do not know what it means to 'understand'.
Ask most AGI researchers, philosophers or psychologists as to what it means to 'understand'. They will be stumped to give you a good answer.
So if we do not know this answer, then how can we recognize that the water's temperature is gradually increasing?
The number of people who might know continues to diminish. This implies collectively that we know less and less. When AGI happens, it will come as a shock. It is as if, nobody had anticipated it.
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1/ Automobiles and Intake Fraction. Since cars are back in the news I thought I would retweet this model result I offered in early April 2020. I focused only on 1 micron particles & accounted for windows completely closed & cracked slightly open.


2/ Related air exchange rates were based on experimental results in literature for mid-sized sedans. Particle deposition to indoor surfaces were accounted for, as the surface to volume ratio in a 3 m3 cab is large. An important outcome was the intake fraction (IF)

3/ Here, IF is the number of particles (or virions in collective particles) inhaled by a receptor DIVIDED BY the number or particles (or virions in collective particles) emitted by an infector.

4/ Integrated over the two hour drive (in this example) the IF for all windows closed & a receptor at rest is 0.08 (8% of what comes out of the infectors respiratory system ends up in the respiratory system of the receptor). 8%! That is a very high intake factor.

5/ With additional ventilation from cracking a window open drops the IF to 0.012 (1.2%) still relatively high. Can get lower by opening more windows.

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