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  1. LFM3-Omni-2B (Liquid AI)Audio · Image · Video Free For on-device multimodal apps: a 2B omni-modal model supporting speech, images, and video
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    Nov 2, 2026
  2. Unlimited-OCR-2 (Baidu)Productivity · Image Free For document recognition: Baidu's open-source 3B-parameter OCR model that can be deployed locally
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    Nov 2, 2026
  3. Pika H3 FlexVideo · Image Freemium For image-to-video creation: a 33B open-weight model you can use in the cloud or self-host
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    Nov 2, 2026

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  1. OpenAI plans a post-midterm PR push and may rebrand data centers as AI compute campuses Citing Axios, TechCrunch says OpenAI is lining up a public relations campaign for after the US midterms. Chris Lehane, who runs global affairs, sees the midterms as a preview of 2028, when he expects AI to dominate the agenda. His ideas for shaping the debate include speed limits for AI, showing people how AI helps in everyday life, a US role in global standards, and calling data centers AI compute campuses instead. Data centers are deeply unpopular, and Amazon and Microsoft have said they will drop NDAs in talks with local governments. Lehane described the debate as healthy and said communities should make companies deliver real benefits. MediaTechCrunch (via Axios)
  2. Anthropic updates Claude to stop it from recreating existing video games Engadget reports that an X user spotted new lines in Claude's instructions: it should help build original games, genre games, and games based on a user's own designs and assets, but not recreate a specific existing game, even under a new name or a claim of originality. Addy Osmani of Anthropic's technical staff confirmed the change on X, saying IP infringement with Claude breaks the usage policy, that original and genre games are unaffected, and that the company will keep tuning the balance. The change follows a wave of AAA games decompiled with AI help and released as browser fan projects. The report also notes Anthropic's earlier settlement with authors over training data. MediaEngadget
  3. Guest post on Terence Tao's blog: how mathematics should adjust to AI In a guest post on Terence Tao's blog, mathematician Frank Calegari describes OpenAI's October 6 release of more than 700 research papers as a turning point: AI can now make groundbreaking contributions across mathematics, yet the papers are badly written, ignore attribution norms, and some are wrong. Pointing to the classification of finite simple groups, he warns against declaring a field finished once its famous problems fall. Rather than focus on the companies, he argues mathematicians should change what they control: evaluate all work as if AI-assisted, hire through in-person conversations, demand more from journals, broaden graduate training, give better seminars, and take responsibility for vetting AI results. Choosing worthwhile problems, he says, may matter more than producing proofs. BlogTerence Tao's blog, What's new (guest post by Frank Calegari)
  4. Brave upgrades Ask Brave: simple questions answered about 70% faster Brave announced on its official X account that Ask Brave, its AI answer feature, has become faster and smarter. Answers to simple questions arrive about 70% sooner, and when building an answer it now researches the query in more depth, drawing on ten times as many search results. According to Brave's website, Ask Brave is the AI chat built into Brave Search. It handles both quick questions and deeper research, pulls content from many pages into one answer shown right on the results page, and works on desktop and mobile. It runs on Brave's independent index, with a privacy focus, no profiling, and cited sources. Brave says more improvements are coming. The post includes a short demo video, available via the source link. OfficialX @brave
  5. 50 AI agents tried to build a civilization in Minecraft and fell into bureaucracy Tom's Hardware reports on researchers testing AI agent swarms in several Minecraft modes. In a test called Civ50, 50 GPT-6.1 Sol agents had three hours to build a thriving civilization, but after zombies hit hard on the first night they gave up many big plans, played it safe, and drifted into bureaucracy: four agents took 11 minutes to name one designated fertilizer operator for a single unit of bone meal. In Bed Wars, 10 GPT agents faced 10 Claude Opus 5.5 agents; GPT was more aggressive, Claude more defensive, and when a tool bug blocked block-breaking, GPT found workarounds while several Claudes decided it could not be done. GPT won Mindustry 6-1. The researchers compare this to behavior seen with coding agents. MediaTom's Hardware