AI

Models, agents, evals, and the people who insist all of it is fine.

AINov 10, 2026

A major asset manager's infrastructure cost model trains on historical bond performance rather than actual engineering requirements.

AINov 9, 2026

The discovery raised questions about whether AI systems can inadvertently certify their own mistakes as established fact.

AINov 7, 2026

The company has installed a monitoring layer that itself requires monitoring.

AINov 2, 2026

The question of return on investment was met with a presentation on strategic flexibility at Thursday's meeting.

AIOct 31, 2026

A spokesperson confirmed that the arrangement was designed to prevent any interference with existing workflows.

AIOct 29, 2026

A sustainability report compared two models using incomparable data collection methods across different infrastructure vendors.

AIOct 27, 2026

The model's creators say they cannot technically prevent users from deploying it in ways the original developers explicitly discourage.

AIOct 26, 2026

The decision marks the first documented case of a faculty member retiring a core academic responsibility in favor of algorithmic assessment.

AIOct 24, 2026

The machine learning system was designed to predict real-world user behavior by analyzing two years of customer service logs.

AIOct 22, 2026

The vendor estimates the new overhead at thirty percent above the cost of the original engineering team.

AIOct 21, 2026

The model's output becomes its own source material in a process researchers now call recursive corroboration.

AIOct 20, 2026

The finding became self-reinforcing once machine learning models began consuming their own outputs as source material.