Terminal-Bench-Science: Evaluating AI agents on scientific research workflows

rubslopes

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.

akshay_akula

Evals on actual research workflows is the right direction, most agent benches are toy tasks.

vatsachak

Damn. These things aren't AGI... but I don't care. Luna is good enough for me to give a parser spec and have it write one.

mlmonkey

Sad to see no mention of Gemini ...

jerpint

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)

johnnyApplePRNG

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.

a2ff6eeb0

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.

boorang

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.

respectattentio

Like you were reading my mind. I was waiting for such benchmark to land. This will improve models for such scientific research workflows. AI should have started with science from the beginning, not after 4 years. I am building on top of it with agents to improve scientific workflows.