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  • Claude Mythos Achieves AGI: Perfect Hardware Design Generation

    Just got access to Claude Mythos… & ughhhhhhhhh this is AGI. It was the first time a model one shotted a 10/25G Ethernet MAC/PCS, it even knew to select the right line rate and data width for lower latency. This alone is something that would take a really skilled digital designer 3-6 months if they had experience in the past to pull off… But it didn’t just do that I then said to make the MAC fully cut through and only forward certain IP addresses within a range downstream it one shotted it instantly also which blew me away… Then finally I thought ok let me trip it up so I said now do 50G MAC and it knew without me telling it to add another GT transceiver and it even added alignment markers and FEC to it correctly. 💀💀💀 It’s passing all the tests I have so I’m going to flash the board and see if it actually works on hardware now…

    → View original post on X — @ceobillionaire, 2026-04-07 21:00 UTC

  • Which AI models are you using in your apps?

    What models are you using, in what apps? Do you have thinking turned all the way up?

    → View original post on X — @mattshumer_

  • Compute Scaling Drives AI Model Capabilities and Market Value

    Así como por cualquier tontería injustificada el precio de NVIDIA baja, no entendería que hoy, por la información que se ha compartido de Mythos, no subiera. Es evidencia clara de que más computación sí se sigue traduciendo en un salto claro en capacidades de los modelos.

    → View original post on X — @dotcsv

  • Open-source Claude improvement tool by Ashley Ha shared on GitHub

    repo: github.com/ashley-ha/goodcla… Shoutout to @ashleybchae for building this and making it open-source for the community!

    → View original post on X — @datachaz, 2026-04-07 20:49 UTC

  • Mythos AI mathematical capabilities leap unlocks new discoveries

    Y ahora con este salto en capacidades yo solo puedo seguir pensando en lo que os contaba ayer en este vídeo ¿qué salto en capacidades tendrá Mythos en matemáticas? ¿qué nuevos descubrimientos desbloqueará?

    → View original post on X — @dotcsv

  • Anthropic’s Global Software Access Raises Power and Ethics Concerns
    Anthropic’s Global Software Access Raises Power and Ethics Concerns

    If you think about it, Anthropic essentially now has a master key to just about any software in the world. In some ways, they now have more power than governments.

    → View original post on X — @mattshumer_

  • Token costs for advanced AI model capability leap
    Token costs for advanced AI model capability leap

    Quite the leap in capability, how many tokens does it cost to run?!

    → View original post on X — @ninadschick

  • Anthropic’s Mythos Model: Powerful AI Too Dangerous to Release
    Anthropic’s Mythos Model: Powerful AI Too Dangerous to Release

    This is absolutely fucking terrifying. Anthropic's rumored Mythos model is real. And it's so powerful that they can't release it to the public. We're beyond benchmarks now. This model, in the wrong hands, is a cyberweapon capable of mass destruction.

    → View original post on X — @mattshumer_

  • Claude Mythos: Anthropic’s Unreleased Super-Powerful Security Model
    Claude Mythos: Anthropic’s Unreleased Super-Powerful Security Model

    Time for OpenAI to release GPT 5.5 Chubby♨️ (@kimmonismus) 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." — https://nitter.net/kimmonismus/status/2041592321192718642#m

    → View original post on X — @kimmonismus, 2026-04-07 20:13 UTC

  • Claude Mythos Surpasses All AI Benchmarks
    Claude Mythos Surpasses All AI Benchmarks

    Claude Mythos just obliterated every single benchmark in AI. I can't believe what I'm reading. [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-07 19:56 UTC