Team Not So Fast: The Skeptics

Three heavyweights say today's LLMs are the wrong road to AGI entirely.

The top 3

  1. LeCun: Scaling Won't Get There: Meta's chief AI scientist says LLMs top out; true AGI needs new 'world models,' likely a decade-plus.
  2. Marcus: 'Hitting a Wall': Gary Marcus bet deep learning alone would stall short of reliable reasoning — and keeps collecting receipts.
  3. Ng: 'Overpopulation on Mars': Andrew Ng calls AGI panic premature — a problem too far off to even see clearly yet.

Sources

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