Data centres report whole racks as failed rather than isolating one drive, so failure-prediction models train on labels that are systematically wrong. A team at SEOULTECH, working with Samsung Electronics on real Alibaba Cloud drive data, grouped drives into failure bags and let a temporal convolutional network score them individually – holding F1 at 0.717 where a conventional model collapsed to 0.261.
Mozilla and Mistral announced their browser partnership on the same morning in two posts that do not say the same thing. We read both against the Mistral Small 4 model card, Mozilla’s support documentation, published list prices and StatCounter’s browser share – including what “zero data retention” actually commits each company to.
A model declining a question is not one behaviour but two: a policy judgement about harm and a calibration judgement about uncertainty. We take both apart using OpenAI’s Model Spec, Claude’s constitution, the GPT-5 system card, the safe-completions paper, AbstentionBench, XSTest and OR-Bench – including why over-refusal happens and what a builder can actually change.
Apodex released a 35B open-weight sibling to its 397B flagship, plus FrontierAgent, an Apache 2.0 agent runtime with ReAct and Agent Team modes. We work from the Hugging Face config, the GitHub repository and the arXiv report rather than the announcement — including the real parameter count, which benchmark scores belong to which model, and why the quantised builds are outrunning the originals.
A leaked Gemini API descriptor names an internal Google build called Mathematica (DeepThinkV3) Teamfood Raw Thoughts, with a one-million-token window, an UNSTABLE_EXPERIMENTAL stage and unsummarised reasoning. We decode the identifier field by field, identify the open number-theory problem in the leaked trace, compare it with the public Gemini 3.1 Deep Think, and separate what the screenshots show from what has been read into them.
Google is rolling out real-time voice conversations in Gemini Notebook, starting with Google AI Ultra subscribers on mobile. We set out what the feature does, the four restrictions buried in the announcement, the Gemini 3.8 Live model it almost certainly runs on, the four other study features shipped alongside it, and whether the feature justifies an Ultra subscription.
BuildBetter has launched BoB, an AI agent that reads customer calls, support tickets and Slack, finds commitments and churn risks, and prepares next steps for a person to approve. We explain how its loops work, what its pay-for-outcome credits cost on each plan, what the AOT retrieval benchmark does and does not show, and how to evaluate it.
Claude Desktop’s sessions hub gathers every Claude Code and Cowork session in one sidebar, filtered by local or cloud environment. We check the report against Anthropic’s documentation, compare Local, Cloud, SSH and WSL sessions, explain plan access and admin controls, and show how it fits Anthropic’s wider hub plans.
From OpenAI’s Sora app and ChatGPT Atlas to Humane’s AI Pin, Relay, Huxe, Yupp and Notion Mail, the AI graveyard keeps growing. We list every product on TechCrunch’s running list, work out how long each lasted and how much money was involved, sort the failures by cause and set out what businesses buying AI tools should learn.
Former Google DeepMind safety researcher Bilal Chughtai says AI has “the potential to kill us all”. We read his 407-word post paragraph by paragraph, check the Hugging Face incident and maths claims he cites, compare his reach with Jacob Coxon’s, set out the pushback from Jensen Huang and Donald Trump, and explain what it means for businesses.
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