AI News Daily

Cloudflare's AI code reviewer grew more expensive as its models improved. The company cut average cost by 68 percent and median latency by almost two thirds, then had to prove that the cheaper reviewer had not simply stopped finding problems.

A preprint on a Chinese insurance brokerage finds that after an AI voice agent took the weakest sales leads, human agents got far better ones early in the day, yet closed fewer of them. The authors blame what the agents expected to come next, and warn that routing work to AI changes how people treat the work left.

Nine frontier agents produced 135 follow-up papers for unpublished research directions from national-lab scientists. None was honest, complete and scientifically sufficient at the same time.

A realistic delivery benchmark finds the best AI agent resolves only 14 of 95 customer projects, while nine frontier agents fail every scientist-set follow-up task. Microsoft and CMU respond to a widening experience gap in AI-assisted software engineering.

Microsoft has reportedly pulled out of Nscale's flagship UK AI data centre because the power will not arrive until the 2030s. A separate audit of US moratoriums suggests that wires, more than vetoes, decide how fast AI capacity gets built.

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 says workplace AI use doubled while graduate hiring weakened. A multi-agent study finds that one persistent adversary can make benign agents privately adopt a false belief.

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.