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  2. Bits and Bobs 5/27/24
  3. A sweet spot for LLMs: conceptually easy, syntactically hard.

A sweet spot for LLMs: conceptually easy, syntactically hard.

2024-05-27 · Bits and Bobs 5/27/24

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From other episodes

  • My friend Ben Follington: "For cooking, models act like a chef but are actually just nerds for cookbooks."2026-08-03
  • LLMs don't necessarily help you think 10x deeper.2026-08-03
  • LLMs are great at finding zero days not because they're smart but because they're parallelizable.2026-08-03
  • If you, a non-expert, can come up with an effective workflow that an expert is surprised by and thinks is interesting then it implies the ecosystem is in the early stage.2026-08-03
  • Implied assumptions are dangerous.2026-08-03
  • For multi-agent setups, "The agent is yours alone" and "the agent is global" are easy.2026-08-03
  • We're stuck on a local maxima of software.2026-08-03
  • I wonder if we could find novel algorithms within LLMs' weights.2026-08-03
← LLMs allow a new lower-effort tier of prototyping.Exaptation: use an existing thing for a novel, unexpected purpose. →

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  • llms

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  • vast majority
  • Google
  • llms

Related

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Nearby or semantically related chunks worth branching to next.
  • A few reflections from a conversation I had with my friend Dimitri last week about LLMs.2023-12-11
  • A few extra Generative AI predictions (because why not).2023-12-04
  • Your mind runs on the substrate of your physical brain.2023-11-13
  • I had a chance to do some scenario planning last week with various folks on the long-range impact of LLMs on humanity.2023-11-13

Bits and Bobs by Alex Komoroske