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Tim Proctor retweeted
Introducing SpatialBench-Long, a benchmark for long-horizon spatial biology. Agents must recover biological claims from raw data and realistic experimental context without prescribed methods. 24 evals span primary tumors, organoids, xenograft models, lineage-tracing systems, and aging/intervention biology. The best agents score 11.1%.
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What would a falsifiable test for consciousness look like?
Fun breakdown of how much creative expertise lowers brain aging clocks
Tim Proctor retweeted
2026 will be the year of agents in biology. But we need better benchmarks. We worked with scientists to turn real world analysis into verifiable problems. SpatialBench stratifies frontier models, shows harnesses matter, and reveals distinct failure modes between model families:
@LidskyPeter Will gladly pay if you can’t send! Looking forward to reading it, seems like you’ve put a lot of thought into it
Tim Proctor retweeted
Launching a public agent sandbox for spatial biology. Five demo flows tailored to specific kits/machines Try it now: agent.bio This is a shippable intermediary towards reliable and widely deployed agentic systems used to make expensive scientific decisions.
Am increasingly excited about agent use cases that can improve biology research. This feels like one of them!
Agents are finally starting to work in biology. We’ve partnered with Anthropic and major biotech vendors - Vizgen, AtlasXOmics, Takara, 10x Genomics - to build a tool that allows scientists to steer their own analysis with natural language. Raw spatial data to publication
Tim Proctor retweeted
New poast in my blog: From chaos, order: On the nature and measurement of biological aging This one took almost 2 months to write!
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