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  • Google’s TurboQuant: Have You Tried This Technology?

    By

    @willknight

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    Interesting have you tried googles turboquant?

    → View original post on X — @willknight

  • AI Risk Without AGI: Harms From Current LLM Systems

    By

    @garymarcus

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    🤯 AI doesn’t need to be AGI to cause harm! 🤯 ChatGPT can’t reliably run a timer but it has still been implicated in delusions, suicides, cognitive surrender, mass disinformation, and so much more. A system doesn’t have to be AGI to carry risks. Mythos probably isn’t AGI either (nothing’s really been released), but it clearly can be used as a cyberattacking tool etc* *the commenter below also misunderstands my views. I don’t think pure LLMs will ever be AGI but some approach will be eventually. (And I have always been clear about). (Also hardly anyone is using pure LLMs anymore; almost everyone has quietly moved to what I long urged: neurosymbolic AI, in which symbolic tools complement the weakness of pure LLMs, quietly vindicating what I have argued for 30 years.) Kudo (@CryptoC58828499) Please. If AI isn’t going to AGI (as you claim), then stop the damn fear mongering. — https://nitter.net/CryptoC58828499/status/2041898327965626458#m

    → View original post on X — @garymarcus

  • Visual AI Agents Replace Text Input at Art Fair

    By

    @datachaz

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    Typing is a bug. Or maybe we just got used to it. At Art Central, something felt a bit off. It’s a major international art fair, 100,000 people moving through the space all day — but almost no one was typing. Instead, they were just holding up their phone, trying to make sense of what’s in front of them. Not searching, not prompting. Just looking, and letting AI make sense of it in real time. And it wasn’t just a one-off. You’d see it happen again and again, across different booths, different people, different moments. At some point it stopped feeling like a demo, and started feeling like how people naturally use visual agent @Chance_vision . If AI is supposed to understand the real world, why are we still forcing it into text?

    → View original post on X — @datachaz

  • Meta AI Updated with New Design and Model
    Meta AI Updated with New Design and Model

    By

    @testingcatalog

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    BREAKING : Meta updated its Meta AI app with a slightly new design as well as its underlying model. “I am Meta AI, powered by Muse Spark from the Muse model family.” It constantly refers to the Muse model family and responses seem to be a bit different from earlier tested

    → View original post on X — @testingcatalog

  • Google’s Multi-Agent Research System Automates Literature Reviews
    Google’s Multi-Agent Research System Automates Literature Reviews

    By

    @dair_ai

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    NEW paper from Google on multi-agent research agents. It's one of the first systems that handles end-to-end LaTeX generation, targeted literature reviews, and conceptual diagrams as a decoupled, standalone writer. Automated research frameworks can run experiments, but their

    → View original post on X — @dair_ai

  • Grok 4.20 at 0.5T Parameters, 1T and 1.5T Models Coming Soon

    By

    @kimmonismus

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    Grok 4.20 is about 0.5T parameters – about 2-3 weeks for a new 1T – 4 to 5 weeks for the 1.5T model Competition is heating up – again. Elon Musk (@elonmusk) About 2 to 3 weeks for 1T and 4 to 5 weeks for 1.5T — https://nitter.net/elonmusk/status/2041894999823151124#m

    → View original post on X — @kimmonismus, 2026-04-08 15:12 UTC

  • Mythos AI Model: Restraint vs Competition in Dangerous Tech Release

    By

    @garymarcus

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    The scariest part of this is that Anthropic showed some restraint in not releasing a potentially dangerous technology but some of their competitors (such as OpenAI and xAI) might well not. Whether Mythos is as scary as it sounds or not, the reality is that without government regulation on releases, we are well and truly fucked. Jim VandeHei (@JimVandeHei) This is the scary phase of AI — a model deemed so powerful that its full release into the wild could unleash untold catastrophe. 🚨Based on our conversations with government and private-sector officials briefed on Mythos, this isn't hyperbole. It's reality. axios.com/2026/04/08/anthrop… — https://nitter.net/JimVandeHei/status/2041817666881503351#m

    → View original post on X — @garymarcus

  • Why AI Scaling Skeptics Misunderstand Exponential Growth
    Why AI Scaling Skeptics Misunderstand Exponential Growth

    By

    @mustafasuleyman

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    We're not hitting an AI ceiling. Here's why the AI scaling skeptics are wrong. Exponentials help us understand everything that's going on in AI. For thousands of years, we lived in a linear world. Two apple trees produced about twice as many as one did. Walking half as far took

    → View original post on X — @mustafasuleyman

  • DISCO: AI-Designed Enzymes for Novel Chemical Transformations

    By

    @ceobillionaire

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    Such an incredible journey building DISCO 🪩. Love working with this team. DISCO is a co-design model with functional, de novo, new-to-nature enzymes. Huge shoutout to my co-authors for making this a reality! 🚀👇 Jarrid Rector-Brooks (@jarridrb) What if AI could invent enzymes that nature hasn’t seen? 👩‍🔬🧑‍🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the most challenging transformations in organic chemistry. DISCO surpasses this with a single plate. No pre-specified catalytic residues, no template, no theozyme, no inverse folding, just joint diffusion over protein sequence and structure. 📝 Blog: disco-design.github.io/ 📄 Paper: arxiv.org/abs/2604.05181 💻 Code: github.com/DISCO-design/DISC… — https://nitter.net/jarridrb/status/2041893841301860542#m

    → View original post on X — @ceobillionaire

  • The importance of the ‘About’ prompt to change everything

    By

    @jouhatsu_ai

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    The prompt about 'About' can literally change everything.

    → View original post on X — @jouhatsu_ai