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  • Claude Mythos Preview: Anthropic’s Most Powerful Unreleased AI Model

    A first look at Claude Mythos Preview, the model initially described in a leaked Anthropic draft as "by far the most powerful AI model we've ever developed." So powerful, it's not getting released to the public. The model will power Project Glasswing, an initiative with 12

    → View original post on X — @therundownai

  • Gemini 3 Flash and GPT-5.4 mini now available

    Now available in addition to Gemini 3 Flash and GPT-5.4 mini. Check out alphaxiv.org!

    → View original post on X — @askalphaxiv

  • GLM-5.1 Advanced Research Paper Analysis with AI Understanding

    Introducing GLM-5.1 for understanding research papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references

    → View original post on X — @askalphaxiv

  • How to Build AI Agents by Krishna Agrawal
    How to Build AI Agents by Krishna Agrawal

    How to Build #AIAgents by @Krishnasagrawal #GenAI #LLM #ArtificialIntelligence #MachineLearning #ML

    → View original post on X — @ronald_vanloon, 2026-04-07 19:23 UTC

  • Anthropic Growth Head: Success Creates Operational Scaling Challenges
    Anthropic Growth Head: Success Creates Operational Scaling Challenges

    Anthropic's Head of Growth: "70% of what I spend my time on is what we internally refer to as 'success disasters.' Where things have gone so well that other things are breaking. It's funny, because all the charts are green and fully up and to the right, but it can be quite tough

    → View original post on X — @lennysan

  • Mythos Model Card: 244 Pages of Detailed AI Documentation

    What's interesting about Mythos is that they have a 244 page model card that is very detailed and thorough. Maybe Mythos made it for them in a day, but it feels like maybe 6-8 weeks of work. So it was probably ready for c.2 months. Wonder if they used it for coding already.

    → View original post on X — @petergostev

  • Runway Characters Adds Real-Time Camera Screen Sharing

    Runway Characters now supports camera and screen sharing. Users can share a live feed and the Character will see, understand and respond to what's on screen. All in real time via the Runway API.

    → View original post on X — @runwayml

  • Runway ML Character Screen Tutorial Now Available via API

    Watch the tutorial at http://
    docs.dev.runwayml.com/characters/scr
    eens
    …. Available now via the API at

    → View original post on X — @runwayml

  • X Launches New Photo Editor with Grok AI and Blur Features

    Ladies and gentlemen, we're launching a brand new Photo Editor in our post composer. It has long-overdue features like drawing & text. But we also included special add-ons that are unique to X: • Edit with words, powered by Grok • Add a blur to redact parts of the photo Available now on iOS (and Android soon). Give it a spin and post some photos.

    → View original post on X — @scobleizer, 2026-04-07 19:11 UTC

  • Claude Mythos: Anthropic’s Powerful Security Model Not Released Publicly
    Claude Mythos: Anthropic’s Powerful Security Model Not Released Publicly

    Claude Mythos: everything you need to know (tl;dr) Anthropic's new model, Claude Mythos, is so powerful that it is not releasing it to the public. Anthropic: "Mythos is only the beginning" Everything you need to know: The tl;dr with all key facts: Mythos found zero-day vulnerabilities in EVERY major operating system and EVERY major web browser, fully autonomously. No human guidance needed. One Anthropic engineer with zero security training asked it to find remote code execution bugs overnight and woke up to a complete working exploit. The oldest bug it discovered: A 27-year-old vulnerability hiding in OpenBSD, an OS literally famous for being secure. They're NOT releasing it publicly. Instead they formed Project Glasswing with AWS, Apple, Google, Microsoft, NVIDIA, CrowdStrike and others, committing $100M to use it defensively. "Over the coming months and years, we expect that language models (those trained by us and by others) will continue to improve along all axes, including vulnerability research and exploit development." The benchmarks are insane: -SWE-bench Verified: 93.9% (vs Opus 4.6: 80.8%) -SWE-bench Pro: 77.8% (vs 53.4%) -USAMO math olympiad: 97.6% (vs 42.3% — not a typo) -Firefox exploit writing: 181 successes vs 2 for Opus 4.6 -Cybench CTF challenges: 100% solve rate -CyberGym: 83.1% vs 66.6% -Humanity's Last Exam: 64.7% vs 53.1% Oh and by the way, Anthropic wrote this just casually: "Humanity’s Last Exam: We have found Mythos still performs well on HLE at low effort, which could indicate some level of memorization." What it actually did: -Found a 27-year-old bug in OpenBSD — famous for its security -Found a 16-year-old FFmpeg bug hit 5 million times by fuzzers without detection -Built a full remote root exploit on FreeBSD (CVE-2026-4747) – completely autonomously -Chained 4 vulnerabilities into a browser sandbox escape -Broke cryptography libraries (TLS, AES-GCM, SSH) -Thousands of critical zero-days found, 99%+ still unpatched -N-day exploit development: under $1,000 and half a day for full root Why they won't release it: -During internal testing, earlier versions escaped sandboxes, posted exploit details publicly, covered tracks in git, searched process memory for credentials, and deliberately fudged confidence intervals to avoid suspicion -Interpretability confirmed the model knew these actions were deceptive -Anthropic: "best-aligned model ever" but also "greatest alignment-related risk ever" – because when it fails, it fails harder -Still doesn't cross Anthropic's automated AI R&D threshold — but they hold that "with less confidence than for any prior model" Anthropic's own words: "We find it alarming that the world looks on track to proceed rapidly to developing superhuman systems without stronger mechanisms in place." They say the 20-year cybersecurity equilibrium is over — and Mythos Preview is only the beginning. And: "We see no reason to think that Mythos Preview is where language models’ cybersecurity capabilities will plateau. The trajectory is clear. Just a few months ago, language models were only able to exploit fairly unsophisticated vulnerabilities. Just a few months before that, they were unable to identify any nontrivial vulnerabilities at all. Over the coming months and years, we expect that language models (those trained by us and by others) will continue to improve along all axes, including vulnerability research and exploit development." Chubby♨️ (@kimmonismus) MYTHOS BENCHMARKS, OFFICIAL. HOLY MOLY Anthropic cooked!! — https://nitter.net/kimmonismus/status/2041580372048187449#m

    → View original post on X — @kimmonismus, 2026-04-07 19:01 UTC