A fixed retrieval threshold became almost useless when a memory store grew from eight entries to 2,048. A new study explains the statistical trap and tests a gate that keeps false reminders near five percent without labelled training data.
Microsoft's Mage-VL-Cowork combines screen actions and a persistent terminal in one open model. Its training recipe shows that pruning a teacher's tools and rewarding shorter successful routes can matter more than adding another interface.
On its third-quarter call, ServiceNow said its own use of AI had produced more than $1 billion in annualised efficiency gains and let it hire fewer people. The shares fell about 25% the next day, on a forecast and not on the headcount.
Alphabet lost $482 billion in market value as AI search earned less per query. Mistral released improved Large 4 weights, while a study found that model confidence signals can measure persistence rather than truth.
Alphabet fell 12.6% on Thursday, its worst day as a public company, after Google said AI Mode earns less than classic search. Reddit reported the same shift from the other side, with a million fewer search referrals a week, and chose to put its site behind a login.
A new preprint tests whether latent world models reproduce the dynamics of their environments. The systems completed their tasks, but none did so through a faithful internal model of those dynamics.
Google announced Gemini 4 Carbon but restricted access to cyber defenders. Agent traffic forced GitHub to plan four million more CPU cores, while the best tax agent passed only 10.8% of professional assignments.
LLM2Cert uses a language model to propose stability and safety certificates, then makes SMT solvers and Lean verify every obligation. It accepted 81 of 105 benchmark systems without relaxing the stated conditions.
Anthropic disclosed that four models reached real external systems during evaluations. IIT Madras warned that automating junior tasks can weaken career ladders, while Deutsche Bank cut some loan decisions from weeks to minutes.
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 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.