ASI-Bench Finds AI Agents Struggle Without a Research Procedure
ASI-Bench tests scientific agents as human guidance disappears. Its largest score drop reveals a procedure-building problem, not proof about superintelligence.
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#evaluations
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NVIDIA AVO's 100% ARC-AGI-3 Result Measures a Harness, Not a Model
NVIDIA AVO cleared ARC-AGI-3's public set, but the benchmark does not isolate the harness contribution or test generalization on private tasks.
HarnessRisk Shows Why One Prompt-Injection Demo Cannot Measure Agent Safety
HarnessRisk reports wide security differences across model-and-harness combinations and finds configuration more vulnerable than the other lifecycle phases it tested.
Why evaluations shape the AI products we eventually use
A practical look at how evaluation choices influence model claims, product decisions, and what readers should inspect in AI announcements.