AI News Daily

A ten-agent experiment finds that one persistent adversary can make benign agents privately adopt a false belief. Public answers reveal less of the collapse than internal probes do.

The ECB's Philip Lane says 52 per cent of euro-area workers now use AI, up from 26 per cent in 2024, while hiring plans for new graduates are muted. He ties the employment outcome to labour costs versus token prices.

A new study finds that language models cannot reliably name the cruxes that drive their conclusions. Finding them requires many rollouts, not one confident explanation.

Anthropic's junior technical hiring share fell as agent use grew. A new study finds models cannot name the cruxes that drive their conclusions, while AI review delayed PostgreSQL 19.

Anthropic's economists report that junior technical hires fell from 27% to 9% of hires while agent hours reached six times human hours. The report is one company's account of itself, but it shows what happens when human attention becomes the bottleneck.

A study of 15 language models finds that many working-memory failures happen after the right item is selected. The models retain decodable information but fail to report it.

The Federal Reserve now hears firms hiring less after AI productivity gains. A game-design experiment favours agent teams, while a memory study finds that models often retain answers they fail to report.

In three months the Federal Reserve's regional survey moved from firms using AI to firms cutting staff by attrition, delaying hiring or expecting fewer jobs. The evidence is anecdotal, but it matches what payroll data show for young workers.

Ant Group opens a 560-billion-parameter hybrid reasoning model, a new benchmark finds higher-order theory-of-mind shortcuts, and offline speech reaches a $20 ESP32.

Language models looked capable of following beliefs inside beliefs. HopToM shows that many benchmark questions let them answer by taking a shallower route, then offers a cheaper way to reason through the full chain.

Two researchers combined a few established ideas about memory, context and prediction error into one model of human choice. CORE beat matched neural predictors across 137 experiments while keeping its internal operations open to inspection.

Liquid AI released an open 24-billion-parameter mixture-of-experts model for on-device agents. New research found compact structure in millions of human choices and a causal spatial workspace inside multimodal models.