[ACCount36]

We are nowhere near the best learning sample efficiency possible.

Unlocking better sample efficiency is algorithmically hard and computationally expensive (with known methods) - but if new high quality data becomes more expensive and compute becomes cheaper, expect that to come into play heavily.

"Produce plausible text" is by itself an "AGI complete" task. "Text" is an incredibly rich modality, and "plausible" requires capturing a lot of knowledge and reasoning. If an AI could complete this task to perfection, it would have to be an AGI by necessity.

We're nowhere near that "perfection" - but close enough for LLMs to adopt and apply many, many thinking patterns that were once exclusive to humans.

Certainly enough of them that sufficiently scaffolded and constrained LLMs can already explore solution spaces, and find new solutions that eluded both previous generations of algorithms and humans - i.e. AlphaEvolve.

[dvfjsdhgfv]

I don't think anybody argues there will be no progress. We just disagree about the shape of the curve.