defun

• defun 9 Jul 2024 13:57 UTC

  1 point

  0

  on: Claude 3.5 Sonnet

  Can someone create a forecasting question about which model will score better in benchmarks, Claude 3.5 Opus or GPT-5?

• defun 4 Jul 2024 11:03 UTC

  1 point

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  on: AI Timelines

  (5) Q1 2026: The next version comes online. It is released, but it refuses to help with ML research. Leaks indicate that it doesn’t refuse to help with ML research internally, and in fact is heavily automating the process at its parent corporation. It’s basically doing all the work by itself; the humans are basically just watching the metrics go up and making suggestions and trying to understand the new experiments it’s running and architectures it’s proposing.

  @Daniel Kokotajlo, why do you think they would release it?

• defun 16 May 2024 10:29 UTC

  1 point

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  on: Teach­ing CS Dur­ing Take-Off

  The delta between how fast AI will affect software engineering and how fast AI will transform other (roughly speaking) white collar careers is relatively small.

  Agree that the delta is “small”, but it might be significant:

  1. LLMs are specially good at coding. Some reasons:

     1. Large amount of training data

     2. Most knowledge is text-based and explicit

     3. Big economic incentive (developers are specially expensive)

     4. Many companies are focused on AI for coding (Devin, GitHub, etc.) and they will probably advance fast because these teams are using their own product (Figma’s CPO on the importance of dogfooding)

  2. LLMs already integrate very well into developers’ workflow

  3. LLMs’ hallucinations are not a big deal in coding because it’s ~easy to review code and mistakes are usually not deadly

  4. LLMs cannot automate bullshit jobs, so many people are safe (half joking)

  LLMs will soon have the level of an intern, then junior, then mid, then senior… Can your students outlearn LLMs?