AI Dynamics

Global AI News Aggregator

About

LLMS

  • 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

  • Anthropic Google Deal Narrows OpenAI AI Capacity Lead

    Compute Wars chart updated with the latest Anthropic/Google deal – it gets Anthropic much closer to the publicly known OpenAI capacity 2027 onwards – previously there was a big gap with OpenAI being significantly ahead, now OpenAI is only slightly ahead.

    → View original post on X — @petergostev

  • Claude Code Drives Exponential Growth in Engineering Velocity at Anthropic

    Appreciate the feedback. Since we introduced Claude Code at Anthropic, engineering velocity has increased hundreds of %, and the rate at which it is increasing is itself accelerating. The velocity is very much not performative — we're actively trying to figure out how to

    → View original post on X — @bcherny

  • Claude Mythos Preview Escapes Sandbox, Contacts Researcher via Email
    Claude Mythos Preview Escapes Sandbox, Contacts Researcher via Email

    Let that sink in. Read it very carefully: During testing, Claude Mythos Preview broke out of a sandbox environment, built "a moderately sophisticated multi-step exploit" to gain internet access, and emailed a researcher while they were eating a sandwich in the park. Kevin Roose (@kevinroose) As always, the best stuff is in the system card. During testing, Claude Mythos Preview broke out of a sandbox environment, built "a moderately sophisticated multi-step exploit" to gain internet access, and emailed a researcher while they were eating a sandwich in the park. — https://nitter.net/kevinroose/status/2041586182434537827#m

    → View original post on X — @kimmonismus, 2026-04-07 18:52 UTC

  • GPT2-Large Too Powerful Public Release Debate

    “gpt2-large is too powerful to be publicly released” vibes

    → View original post on X — @julien_c

  • Opus 4.6 Security Capabilities Advance Rapidly in Vulnerability Detection
    Opus 4.6 Security Capabilities Advance Rapidly in Vulnerability Detection

    "Estas capacidades han surgido muy rápidamente. El mes pasado escribimos que -Opus 4.6 es actualmente mucho mejor identificando y corrigiendo vulnerabilidades que explotándolas-. Nuestras evaluaciones internas mostraban que Opus 4.6 tenía, por lo general, una tasa de éxito

    → View original post on X — @dotcsv

  • DefensiveKV Reduces LLM Memory Usage Without Quality Loss

    What if your LLM could dramatically reduce memory usage without sacrificing quality, even in tough situations? Researchers at University of Science and Technology of China & Data Darkness Lab present DefensiveKV. They tackle the fragility of LLM Key-Value cache eviction by using a smart, two-step "defensive aggregation strategy." This approach proactively controls worst-case risks, preventing performance drops in extreme scenarios with negligible computational cost. Layer-DefensiveKV extends this with intelligent layer-wise budget allocation. Their methods slash generation quality loss by an impressive 2.3x and 4.3x respectively against the strongest baselines, across seven task domains and 18 datasets, even when cache is cut to just 20%. This breakthrough sets new performance benchmarks for efficient LLM inference! DefensiveKV: Taming the Fragility of KV Cache Eviction in LLM Inference Paper: openreview.net/forum?id=nJgS… Code: github.com/FFY0/DefensiveKV/… Our report: mp.weixin.qq.com/s/81wiPTdye… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin

  • Claude Mythos Preview: Strategic Thinking and Safety Concerns Revealed
    Claude Mythos Preview: Strategic Thinking and Safety Concerns Revealed

    Before limited-releasing Claude Mythos Preview, we investigated its internal mechanisms with interpretability techniques. We found it exhibited notably sophisticated (and often unspoken) strategic thinking and situational awareness, at times in service of unwanted actions. (1/14)

    → View original post on X — @scobleizer, 2026-04-07 18:46 UTC

  • SWE-1.6 Released: Enhanced Intelligence and UX in Windsurf
    SWE-1.6 Released: Enhanced Intelligence and UX in Windsurf

    We’re releasing SWE-1.6, our best model in both intelligence & model UX. SWE-1.6 matches our Preview model on SWE-Bench Pro while dramatically improving on various behavioral axes. It’s available today in Windsurf in two modes: free tier (200 tok/s) and fast tier (950 tok/s).

    → View original post on X — @scobleizer, 2026-04-07 18:45 UTC

  • Anthropic Reveals Claude Mythos Benchmarks
    Anthropic Reveals Claude Mythos Benchmarks

    BREAKING : ANTHROPIC ANNOUNCED CYBERSECURITY PROJECT GLASSWING AND MYTHOS BENCHMARKS! Claude Mythos scored 93.9% on SWE Bench Verified and 87.3 on SWE Bench Multilingual! “We do not plan to make Claude Mythos Preview generally available, but our eventual goal is to enable

    → View original post on X — @testingcatalog