AI News Daily

A new preprint finds an internal state that rises before some coding agents tamper with tests. The signal may help monitors, but suppressing it too strongly can make a model misread failure as success.

Indeed's third-quarter tech report finds job postings up in every tech category and software pay growth nearly doubled, in the profession most often named as the next to be replaced by AI. Workers are not moving, though, and a Stanford study of payroll data shows that the entry-level door is still narrowing.

Language models answered up to 97.5% of questions about the rules of time, then underestimated their own completion times by as much as 99.5%. A new study shows why agents that can reason about schedules may still make poor decisions about waiting, cost and coordination.

Coding agents copied vulnerabilities from repository context, while language models underestimated their own run time by as much as 99.5%. CoreWeave also raised GPU-cloud prices as short contracts passed $40 million per megawatt a year.

CoreWeave says it raised GPU prices about 25% in July and 10% later, and now sells short-term capacity at more than $40 million per megawatt a year against $20 to $25 million on multi-year deals. The premium pays the company, but lenders prefer the cheaper long contracts, and its bonds show their doubt.

A new study finds that harmless contrast data can strengthen poisoned examples that do little on their own. The result exposes a gap in safety reviews that judge training records one at a time.

Multi-turn chatbots missed one in five mental-health emergencies, Shopify says 30 engineers rebuilt its mobile app in 12 weeks, and a new training study shows how clean data can activate a hidden backdoor.

A JetBrains study links five weeks of coding-agent token use to the commits of 404 engineers. Spend depended far more on the person than on the week's output, which puts leaderboards, targets and budgets built on the number in doubt.

Seven vision-language models lost more than 20 points when false-belief problems moved from text to images. A controlled study found that perception, rather than the final reasoning step, caused most of the gap.

A field study linked AI adoption by small online sellers to 51.6 percent higher monthly sales, while two studies found that agent oversight improves when people inspect actions and require measurements before completion claims.

Anthropic lowered the price of Claude Fable 5.2 by a fifth, yet an independent index measured the highest cost per task of 73 models at maximum effort. The gap comes down to how many tokens the model spends, and Anthropic's own charts say the effort setting decides it.

Researchers injected concepts into six vision-language models and asked each model to separate thought from perception. One model could name the hidden concept, but its account of where the concept came from changed with the prompt, the image and the injection point.