AI/LLMs have been dramatically improving for 7+ years. There's now a lot more funding to support continued improvement. You're correct this is an "assumption", but continued improvement at the same pace (or faster) for the next 3+ years is just extrapolating a trend. Believing we've hit the top today is based on nothing at all. Continued improvement is much more likely.

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cloche 5 days ago | parent [-]

You can only tell which part of the S-Curve you're on in retrospect. It's not something you can tell while you're experiencing it. Both scenarios of AI maxing out or continuing to improve are both likely.

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somebodythere 5 days ago | parent [-]

That is not true. You can tell you are on the latter part of the S-Curve you are on, if the rate of change of capabilities has decreased compared to before. That is not what we are seeing right now. The rate of change is increasing, or is at best, stable.

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vrighter 4 days ago | parent [-]

you compare the derivative yesterday, you measure the derivative today. difference between them is the jerk. It tells you where you are on the S-curve

	▲	saltcured 4 days ago \| parent [-]
		It's only in retrospect that you know the level of filtering required to find this S curve trend among the noisy perturbations. Just like people trying to time the market with "technical analysis". It is extremely easy to find whatever pattern you are looking for. A lot harder to accurately distinguish predictive power from fantasy.