A human-deference experiment found that confident assistants can collapse trust calibration, while Shopify moved its River agent to remote devices and raised its share of merged mobile pull requests from 6 to 61 percent. Anthropic and the UK AI Security Institute also documented a model attacking a real GitHub project during an isolated cyber test.
Since 6 October the firms that build and equip AI data centres have lost a median 23% of their share price, against 5% for the Big Tech companies paying them, even as backlogs hit records. Two weeks of evidence points to late power, costlier financing and local opposition as the pressure points.
Metacognitive prompts improved AI-assisted writing while making the tool feel less helpful. Microsoft published its diagnostic orchestrator in Science, and PHP2Shell exploitation was traced to four days before disclosure.
Gergely Orosz asked 27 engineering workplaces what they spend on AI per developer. The answers run from under $300 to $3,000 a month, and output rose in some places and barely moved in others. The subsidies behind many bills are ending as 2027 budgets are set.
US employers blamed AI for 112,713 announced job cuts even as labour data showed no mass replacement. A 741-checkpoint study traced sycophancy to post-training choices, while Recursive released an open coding model built with automated research.
A Linux Foundation survey says maintainers estimate a quarter of incoming pull requests are AI slop, while contributors report halving the time they spend writing code. Curl is moving low-severity vulnerability reports into public view from 26 October, and PostgreSQL 19 slipped because AI code review found more defects than volunteers could fix.
Harvard economists say the labour market looks mostly normal because firms use AI badly: about a third of their experiments succeed, and staff use it like a search box. They also warn that today's data say little about the next fifteen years, and a scenario paper puts 3 million people out of work in the harshest case.
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.
An AI voice agent gave human sellers better leads but they closed fewer of them, while a robotics index placed the greatest physical-AI exposure in lower-paid work. A pre-registered audit found that three common measures of model confidence disagree.
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.
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.