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Is AI progress slowing down?

Arvind Narayanan · 18 Dec 2024

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Every claim below was made in this piece, quoted word for word and numbered in the order the piece makes them, so you can read it there rather than take our word for it. The sentence above each quote is our reading of the claim, not their wording. Each quote was checked against a stored copy of the page at build time; where the two differ, the quote is the fact.

  1. Regardless of whether model scaling will continue, industry leaders' flip flopping on this issue shows the folly of trusting their forecasts. They are not significantly better informed than the rest of us, and their narratives are heavily influenced by their vested interests.
  2. The connection between capability improvements and AI's social or economic impacts is extremely weak. The bottlenecks for impact are the pace of product development and the rate of adoption, not AI capabilities.
  3. It is impossible to predict whether progress in AI capabilities will slow down. In fact, forget prediction - reasonable people can have very different opinions on whether AI progress has already slowed down, because they can interpret the evidence very differently.

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