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.
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 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.
Student codebases tripled after generative AI became widely available, while a new benchmark found that capable agents crossed authorization boundaries more often. Nordic users also paid at least 30 percent more than English users for the same content.
A ten-semester study of 260 capstone team repositories finds that end-of-semester code grew from about 3.4 to about 10 thousand lines once generative AI was widely available, while comment density stayed flat. The authors never observed AI use, so the result is a warning for graders and employers, not a verdict on the tools.
Bocconi researchers followed more than 12,000 employees of one multinational for 13 months while Microsoft Copilot was rolled out. The workers who adopted it spent more time collaborating, worked with more people and leaned harder on colleagues they already trusted. That result runs against the expectation that an AI assistant makes colleagues less necessary.
A Copilot study of 12,000 workers found more collaboration, not less. Coding agents often failed to stop after detecting that a task was blocked, while new evidence shows what context compaction removes and why model prices fell by as much as 80%.
Researchers measured why prose written by models is difficult to read. In a separate study, researchers found a content farm with 1.4 million documents in Slovak FineWeb2. Apollo's charts show no visible improvement in productivity from AI outside the largest US technology companies.
A randomized experiment found that workers produced better briefs after an AI interface made them define the goal and divide the task. They also judged the tool less helpful, exposing a flaw in how teams evaluate AI products.
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.