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An aisle between rows of computer racks in a data centre.AI · Nov 12, 2026AI models: what Vercel measures with its six-week ‘half-life’Vercel observes a high turnover in the models used by teams using AI Gateway. Its figures describe adoption on one platform, not technical obsolescence after six weeks.Laptop screen displaying computer codeAI · Nov 10, 2026Signal: what AI has really proved about its codeGoogle DeepMind says it used AlphaProof Code to prove certain properties of Signal’s compiled code. The result sheds light on AI’s potential, but also on the precise limits of formal proof.Researchers looking through a microscope in a laboratory at the National Cancer InstituteAI · Nov 8, 2026AI and research: behind the hours saved, the challenge of proofA study by Google and researchers affiliated with MIT reports time savings declared by scientists, but also hypotheses awaiting testing and a substantial need for verification. Speeding up tasks is not enough to validate discoveries.MSI GeForce RTX 2080 graphics card with three fansAI · Nov 8, 2026MoE AI model: why are only some parameters working on each token?‘Mixture of Experts’ models activate certain sub-networks for each token. This selective computation reduces some of the work, but does not sum up either the memory required or actual performance.Three people talk in front of a board covered in mathematical formulae, illustrative photograph.AI · Nov 6, 2026OpenAI and the ETH hypothesis: what the result claims, and what remains to be understoodOpenAI announces a refutation of the Exponential Time Hypothesis. The paper and the researchers’ letter help explain its significance, without confusing it with Ethereum.A technician works on a NERSC server rack in 2011, in an archive photograph.Technology · Nov 6, 2026Qwen: why an AI installed locally must also have limited accessCohere reports unexpected behaviour from Qwen3.8. The published traces chiefly highlight an essential distinction: hosting a model and controlling its actions.Apple laptop on a table, photographed from behindTechnology · Nov 4, 2026Pages, Numbers, Keynote: what opening up to AI agents changesApple announces assistants in its apps and the ability to connect them to external agents. Two different uses, with access conditions worth examining closely.Computer code and debugging tools displayed on a laptop, illustrative photograph.AI · Nov 1, 2026AI agents: isolating code is not enough to secure their actionsWith agents capable of executing code, AI shifts the risks towards actions and access. Akamai’s announcement highlights what needs to be checked before delegating.Hands adjust a microphone on a table, in front of a phone.Technology · Nov 1, 2026Gemini Notebook records audio: what it keeps, and what you need to checkThe new mobile recorder turns speech into a working source. But a transcript is not an audio archive: what you need to know before a lecture or meeting.Aerial view of Apple Park, a large circular building surrounded by green spaces and homes, in Cupertino.AI · Oct 30, 2026Core Advanced: what do the 2 GB of memory really measure?Apple’s model has 20 billion parameters, but a reading taken after a prompt shows around 2 GiB. These figures do not measure the same thing: one describes the entire model, the other a memory state observed on a particular Mac.The façade of the Palais-Bourbon, home of the National Assembly, beneath a blue skyFrance · Oct 29, 2026After Trappes: what can be established about hate speech and violenceIn the National Assembly, responsibility for words has become a political battleground. Yet the investigation has established no direct link with a political party: research urges us to distinguish collective influence from individual causation.A person holding a film camera: a photograph symbolising image capture, without depicting smart glasses.Technology · Oct 27, 2026Smart glasses: what the new guidance means for LuxembourgDiscreet cameras, artificial intelligence and respect for privacy: Luxembourg’s CNPD and the EDPB clarify the rules and precautions to take.
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