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harbor-framework/terminal-bench-science — GitHub trending stats & insights | Trendshift
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harbor-framework/terminal-bench-science
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AI workflow
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
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15 contributors
Apache License 2.0
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On AA's new Terminal-Bench-Science board, only two models clear half the tasks: GPT-6 Astra (max) at 63%, Claude Opus 5.5 (xhigh) at 62%. Best open-weights entry: GLM-5.3 (max) at 10%. Third-party…
@jimmy_longbow_ · x.com
Terminal-Bench-Science was made possible by our research partners @StanfordAILab, @stanfordnlp, @StanfordHAI, @2077AI, @MLFoundations, @AllenInstitute, @allen_ai, and our compute sponsors…
@StevenDillmann · x.com
I submitted a science task proposal to Terminal Bench science today FYI their deadline for submitting the PR (not the merge) is Aug 17!
@sgjarmak · x.com
Most AI benchmarks test toys. This one tests whether an AI can actually do science. Terminal-Bench Science (TB-Science) is an open benchmark for AI agents that run real scientific workflows inside…
@itsharmanjot · x.com
What a task looks like — real workflows from scientific domain experts: - Reconstructing MRI brain maps - Virtual drug screening - Reconstructing ice crystal disorder over time Scientifically…
@StevenDillmann · x.com
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