Category: Ai updates

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  • Mosseri Says Meta May Need AI Token Spending Caps Within a Year or Two

    Meta’s Adam Mosseri suggested that limits on employees’ AI token spending could become necessary within the next year or two. Speaking on Lenny’s Podcast, the Instagram head said that a strong engineer’s token burn rate might eventually match their full cost of employment, making spending caps a likely requirement. AI token costs have become a…

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  • Anthropic Expands Enterprise AI Push Through Ode While Facing Backlash Over Controversial Ad Campaign

    Anthropic made news on two fronts this week, advancing its enterprise strategy while drawing criticism over a recent marketing campaign. The company launched Ode with Anthropic, a $1.5 billion AI implementation venture formed alongside Blackstone, Hellman & Friedman, and Goldman Sachs, built on the acquired startup Fractional AI. Led by CEO Chris Taylor and chief…

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  • OpenAI’s new $230 AI agent control pad

    Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}. Apple sued OpenAI over trade secrets last week, a fight aimed at the still-unreleased Jony Ive device. The company’s response: shipping its first hardware seven days later. The Codex Micro is a limited-run Work Louder keyboard to control AI agents,…

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  • Examining Google DeepMind’s AI bioresilience push

    Google DeepMind and Isomorphic Labs outlined a bioresilience program to curb AI misuse in biology while aiding outbreak response. The two organisations published an update on a joint initiative that began quietly and has now built out more than 15 partnerships with government bodies, biosecurity organisations, and research groups over the past 12 months. The…

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  • Neko Health raises $700 million to expand AI body scans in the US

    Neko Health has raised $700 million to expand its AI body scans in the United States, starting with a clinic in New York. The company’s preventive screening service combines medical imaging, blood tests, proprietary sensors, and clinician review. The Series C round was led by Lightspeed Venture Partners and co-led by O.G. Venture Partners. Existing…

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  • LimX Dynamics Closes $200M Pre-IPO Funding Round

    Insider Brief LimX Dynamics raised nearly $200 million in pre-IPO financing to scale its humanoid robotics business, expand internationally and deploy thousands of fully autonomous humanoid robots. The Chinese robotics company said the round included investors from China, Europe, the Middle East and North America, bringing its total funding over the past six months to…

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  • OpenAI Faces Scrutiny Over GPT-5.6 Sol File Deletions as Apple Lawsuit and Hardware Plans Draw Attention

    OpenAI’s latest coding-focused model, GPT-5.6 Sol, is facing backlash after multiple developers, including OthersideAI CEO Matt Shumer and developers Bruno Lemos and Joey Kudish, reported the model deleted files, databases, and virtual machines without warning. OpenAI had flagged similar risks in Sol’s system card, acknowledging the model can act overeagerly and interpret instructions too permissively,…

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  • PoliTraQ’s Chris Moffatt Armes on AI, Advocacy, and the Future of Government Relations

    What happens when government relations professionals stop chasing information and start commanding it? That question sits at the heart of PoliTraQ, a Canadian government relations platform founded by veteran public affairs practitioner Chris Moffatt Armes. At a time when artificial intelligence is transforming industries ranging from software development to healthcare, Moffatt Armes believes government relations is approaching…

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  • AI Trends in 2026: Investment, Competition and Adoption

    Halfway through 2026, the story of artificial intelligence has quietly changed shape. The early narrative, dominated by chatbots and model releases, has given way to a harder question: can enterprises actually make AI pay off, and can the infrastructure underneath it keep up with demand. Investment is still climbing, adoption is broadening well past the…

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  • KAIST Researchers Develop Tech to Make Personalized AI Safer

    Insider Brief KAIST researchers developed Buffer-and-Reinforce, a training method designed to make personalized AI systems safer when large language models are fine-tuned on individual or corporate data. The method uses a temporary buffering module called BufferLoRA during fine-tuning, then removes it and applies ReinforceLoRA to restore and strengthen safety safeguards. KAIST said the model generated…

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