The point is the tiring arguments from AI skeptics saying “things are flattening, they have to” which while technically correct says nothing because no one knows when that will happen and we see no mechanism for this yet. Lindy’s law as a reasonable prediction under total uncertainty is interesting and insightful and a lot of people don’t know about it or why it holds. I did enjoy the reference to this!
But those skeptics are initially responding to the constant AI hype claims that we are exponentially growing to AGI. So this article is in fact just a (very poorly thought through) attempt at saying “nuh uh, the hype might be true, you can’t prove it’s not yet!
Nah this is making a category error. You're assuming that AI skeptics agree that models are demonstrating intelligence along the same axis as humans and that with further improvement they will become equivalent to humans. I am an AI skeptic, and I disagree with this assessment.
Model reasoning is on an s-curve, which is improving.
Model intelligence is not the same as reasoning. It's a different axis, and one I have not seen much movement on.
See, humans have a recursive form of intelligence which is capable of self-reflection and introspection. LLMs can only reason about tokens which have already been emitted. Humans and LLMs do not share the same form of reasoning, and general human-like intelligence will not arise from the current architecture of LLMs. Therefore it is a mistake to assume that continual improvement on the reasoning scale will result in something that is equivalent enough to humans on the intelligence axis to replace all labor.