AI Research Automation Needs More Than a Task Percentage
Anthropic’s new automation measurements and OpenAI’s incident disclosures show why delegated work, monitoring and research outcomes need separate…
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Reporting, analysis, interviews, and ideas from the TENS Magazine newsroom.
From the newsroom
Anthropic’s new automation measurements and OpenAI’s incident disclosures show why delegated work, monitoring and research outcomes need separate…
An open aging-AI toolkit makes research more inspectable. Its scores need task-specific context, reproducible methods and clear limits…
Google’s learning interactives bring separate tests for software quality, teacher review effort and student understanding into focus.
A new mouse-research framework could help prioritize longevity experiments. Its value will depend on prospective testing, missed candidates…
Google’s Retrieve-for-Train research shows why faster AI search needs separate tests for useful results, diversity and changing catalogs.
A new study makes reference populations central to aging-clock interpretation. TENS proposes clearer reporting of model versions, biomarker…
MIT’s HardFlow research shows why AI planning results need separate evidence for generated routes, operating assumptions and real-world…
A new brain microprotein atlas shows why protein detection, cellular function and patient benefit need separate evidence labels…
Google’s new analytics functions put the interpretation of statistical outputs at the center of reliable AI investigations.