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  • I wonder how long it's going to be before self improvement encompasses hardware and materials science, not just code. It's exciting, soon we'll be able to fully hand off scientific, mathematical, and technical progress over to the machines, and then we can fully lay back.
    by a2ff6eeb0
  • I'm glad to see that GPT Sol beats Opus at least in Mathematical Sciences, because that's my need right now, and I much prefer GPT's prose style.
    by rubslopes
  • I worry this doesn’t check correctness. I’ve been finding Claude is lately awful at folllowing instructions, I’ll ask it to implement the algorithm from a paper and it will do something simpler and slower and when challenged do it’s stupid apology thing. It can’t be trusted with anything I’d put in a paper, it lies too much. 4.6 couldn’t do as complex tasks, but it would do what was asked.
    by CJefferson
  • Evals on actual research workflows is the right direction, most agent benches are toy tasks.
    by akshay_akula
  • The fact that opus 5 is outperforming fable is odd to me

    From personal experience, opus 5 feels net inferior to fable on almost every aspect (for coding tasks)

    by jerpint
  • Not surprised to see Claude significantly higher in scientific intelligence than Sol.

    You can tell that Claude really does grasp a wide array of highly specific scientific and mathematical nuances... where's codex is just basically for coding and that's it.

    That's the feel I get from the both of them anyways and I've used both on the 20x plan for the past week at length.

    Don't get me wrong, codex is great at finding bugs and building games. It's great.

    by johnnyApplePRNG
  • The tasks are the thing to really look at here:

    https://github.com/harbor-framework/terminal-bench-science/t...

    by j_maffe
  • I got pretty good mileage out of context engineering, adding my personal coding heuristics to my AGENTS.md and referencing subdocuments on a "when doing X, consult Y" pattern. I assume others are doing similar things, but I was pretty surprised when I was able to get it to generate code that is pretty close to what I would do if I was doing it manually. I'm curious if scientists and mathematicians are doing things like that. "When I see X, I typically immediately check Y" or whatever their domain heuristics look like.
    by boorang

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