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title: 'The Art & Science of Benchmarking Agents — Vincent Chen, Snorkel AI'
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  ARC AGI 3 launched a few weeks before this talk with every task human solvable
  and frontier models under 1%. That gap is the argument: our ability to measure
  AI has fallen behind our ability to build it, and benchmarks that actually
  shape the field are bets on where capabilities are going, not snapshots of
  where they are. Vincent Chen draws a framework from reviewing over 120
  applications for Snorkel's $3 million Open Benchmarks Grants. The science is
  task quality, distributional diversity, model headroom, and robust eval
  methodology. The art is having a thesis (Terminal Bench bet on the CLI before
  coding agents made it obvious), producing research roadmaps, and treating
  researcher UX as a first class citizen. He closes on three axes he thinks the
  next generation of benchmarks needs to cover: environment complexity, autonomy
  horizon, and output complexity beyond plain text. Speaker info: -
  https://x.com/vincentsunnchen - https://www.linkedin.com/in/vincentsunnchen -
  https://github.com/vincentschen --- Watch along with the corrected transcript,
  summary, timestamps and resources on this talk's official AIE page:
  https://ai.engineer/talks/iNkFlCiij0U-the-art-science-of-benchmarking-agents
  Join our upcoming AI Engineer conferences (see https://ai.engineer landing
  page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs
  and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
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  https://liquidgold.cc/channel/aidotengineer/explore/video/the-art-science-of-benchmarking-agents-vincent-chen-20422abb8e4f
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# The Art & Science of Benchmarking Agents — Vincent Chen, Snorkel AI

ARC AGI 3 launched a few weeks before this talk with every task human solvable and frontier models under 1%. That gap is the argument: our ability to measure AI has fallen behind our ability to build it, and benchmarks that actually shape the field are bets on where capabilities are going, not snapshots of where they are. Vincent Chen draws a framework from reviewing over 120 applications for Snorkel's $3 million Open Benchmarks Grants. The science is task quality, distributional diversity, model headroom, and robust eval methodology. The art is having a thesis (Terminal Bench bet on the CLI before coding agents made it obvious), producing research roadmaps, and treating researcher UX as a first class citizen. He closes on three axes he thinks the next generation of benchmarks needs to cover: environment complexity, autonomy horizon, and output complexity beyond plain text. Speaker info: - https://x.com/vincentsunnchen - https://www.linkedin.com/in/vincentsunnchen - https://github.com/vincentschen --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/iNkFlCiij0U-the-art-science-of-benchmarking-agents Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/the-art-science-of-benchmarking-agents-vincent-chen-20422abb8e4f · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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