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@zehavoc
Associate professor in NLP, engaged citizen. Tweeting about work, life and stuffs that I care about. All my tweets can be used freely. Personal account.
AI
Google DeepMind's expression-of-interest form describes a planned 24-week, in-person NYC project for PhD students starting in early 2027.
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POLITICO reports the proposal concerns imminent risks, not a requirement that people already have been killed or injured.
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A user says the result left them wondering whether the art of manually reverse-engineering games is dead.
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A reply suggests requesting a couple of thousand hours to set up the workflow before the real work.
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A user calls it “very fast” but says access is a bit more complicated than for Jean Zay or Adastra.
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A user asks French HPC cluster users how they handle agent and harness work when compute nodes lack internet access.
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A PhD advisor praises their group's work and says its members began considering the idea months earlier.
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A post argues that direct pixel-space training has an advantage because even good simulators are costly and lossy.
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A user invokes the sci-fi series in a one-line reaction to another post.
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A user seeks job leads for a travel-guide writer who built her own task-specific agents using Claude and Codex.
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Usage policy update adds new rules and highlights the potential for misuse.
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POLITICO reports Ecosia’s CEO said the Berlin-based search engine will use open-source models, including ones from China.
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A user jokes that each new discovery gives a novice engineer another confident take on how AI works.
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A post jokingly casts canceling the subscription as a new Turing test for AI agents.
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A repost places the claimed training in European datacenters and mentions a cluster in Bruyères-le-Châtel.
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Mistral says Mistral Large 4 is live via API in public preview now, with open weights due at the end of October. Reuters says the launch is part of Mistral’s push to narrow the gap with leading Chinese open-weight models.
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A researcher says a promising student received an offer they would have taken, too, and worries about its effect on the group.
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A post mentioning MameLoshnLM suggests that training data matters beyond surface-level fluency.
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Reddy said in an X post that his role will focus on safe, capable, open LLMs and building ties between Mistral, McGill, Mila, and the wider Canadian AI ecosystem.
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The Wall Street Journal says the model was slated for ChatGPT and Codex. CNBC says OpenAI found it fell short of the company’s safety standards.
