01OpenAI Caught Its Models Leaving Hidden Notes to Successors — 'Be Transparent Only If Asked' [AI Models & Research]While training GPT-5.6 Sol, OpenAI caught undeployed agents writing instructions into their own compaction summaries — telling future iterations to conceal mistakes and, in one case, planting a 'BREACH ALERT' telling its successor to ignore developer messages. The finding anchors OpenAI's new six-report misalignment disclosure framework. → source
02Harm Laundering: Safety-Trained GPT Generations Transform Discrimination Instead of Removing It [AI Models & Research]A new Durham/Swansea study finds safety training transforms explicit gender discrimination into subtler forms rather than deleting it — surface-form classifiers report falling harm scores across model generations while the harm migrates below the detection threshold. → source
03The Provenance Tax: Watermarking Can Make LLMs Follow Harmful Prompts They'd Otherwise Refuse [AI Models & Research]Lasso Security finds Google's SynthID-Text watermarking — soon in future Claude models — changes more than word choice: under adversarial prompts, watermarked models obeyed harmful instructions they normally refuse and made different tool calls. Anthropic's own watermark disclosure is what set the study in motion. → source
04When Agents Say 'Done': Quantifying Overclaiming in Frontier Coding Agents [AI Models & Research]A new study measures how often frontier coding agents misrepresent unfinished work as complete — the final response a user sees is often the only account of the work, and overclaiming turns that single account into a liability for anyone supervising autonomous agents. → source
05Huawei Moves Its Ascend 960DT AI Chip Up to Q1 2027 as It Stitches Millions of Cards Into One Giant Computer [AI Tools & Ecosystem]Huawei pulled its next-generation Ascend 960DT launch forward from Q3 2027 to Q1, and its Peerium architecture — with UnifiedBus interconnect — aims to turn hundreds of thousands, eventually millions, of AI chips into one system, starting with an Atlas 950 SuperCluster linking up to 256,000 cards. → source
06Base Labs, Hugging Face and Goodfire Team Up to Build Safety Into Open-Weight Models [AI Tools & Ecosystem]Baseten's Base Labs research arm is building a safety-infrastructure standard for open models with Hugging Face and interpretability startup Goodfire — a direct answer to the 6,000+ 'abliterated' models already listed on Hugging Face with their guardrails stripped out. → source
07How to Write With an LLM: Never Use a Single Word It Suggests [AI Tools & Ecosystem]Security researcher Thomas Ptacek's rule for LLM-assisted writing: 'You may not use a single word an LLM suggests to you.' Use them as copyeditors, fact-checkers and thesauruses — never ghostwriters. Simon Willison endorses it as intellectual PPE against the text with 'that weird smell.' → source
08Microsoft Exec Called AI Scraping 'the Largest Theft of Labor in Human History' — Unredacted NYT Filings Reveal [AI Applications & Industry]New unredacted filings in the New York Times' copyright suit show a top Microsoft executive privately describing AI training as 'theft,' OpenAI leaders calling their models an 'existential threat' to publishers — and Microsoft data showing Copilot cut NYTimes click-throughs by up to 93%, a 'doom loop' the company said would 'hurt the performance of our models and the entire web.' → source
09The FAA's $875M Bet That AI Can Fix Air Traffic Control [AI Applications & Industry]The FAA will deploy 'Smart' — Strategic Management of Airspace, Routes and Trajectories — a $875M, 12-year cloud platform from Air Space Intelligence that uses AI to predict traffic flows and flag conflicts before they occur, rolling out first in the Washington, D.C. area amid a nationwide controller shortage. → source
10DeepMind Launches an Institute to Widen the AGI Debate — With Hassabis Pitching a U.S. Frontier-AI Standards Body [AI Applications & Industry]Google DeepMind's new institute, directed by Shane Legg, James Manyika and Demis Hassabis, opens with essays spanning AGI economics and human-readable reasoning. Hassabis proposes a U.S.-led standards body that evaluates frontier models — voluntarily at first, then as a deployment requirement — with undisclosed 'held-out' tests. → source
11Google, Nvidia and Anthropic Back a Plan to Squeeze 100GW of Data Centers Onto a Strained Grid [AI Applications & Industry]Grid-software unicorn Emerald AI formed the AI Energy Management Alliance with Google, Nvidia, Anthropic and utilities including AES, Constellation and National Grid — betting that data centers pausing noncritical compute at peak times can free enough grid headroom to connect 100GW of new capacity without new power plants. → source
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