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Safety and alignment Latest updates

AI safety and alignment: jailbreaks and defenses, research on model behavior, safety evaluations, and progress in governance frameworks.

66 条精选Past 30 days: 64 updatesTotal: 517 updates

Updated

精选归档 · 第 4 页

Oct 23Fri 61–66 updates
  1. The Decoder78

    Anthropic's Claude now writes code and proves it safe automatically

    Anthropic's Frontier Red Team, working with partner Theorem, used Claude to generate roughly 180 million lines of mathematical proof code in a few weeks, verifying existing software from 123 open-source libraries in Google's OSS-Fuzz project by translating crash tests into mathematical problems and analyzing compiled machine code, with the Rocq program automatically checking the proofs. The researchers say Claude found hundreds of bugs, including as many security bugs in one week in a widely used PDF reader as are typically reported for that software in a year, and caught a logical error undetected for over a decade. Anthropic notes the proofs hold only under strict conditions—a specific processor architecture, single-threaded programs, and inputs under 64 MB—and that compute costs are steep, with individual proofs running up hundreds of millions of tokens.

    Why it matters: It offers a concrete look at AI-assisted formal verification, including its demonstrated bug-finding results and the practical limits Anthropic itself acknowledges.

Oct 22Thu
  1. Ars Technica · AI83

    Hackers got a four-day head start on epic PHP2Shell vulnerability

    Researchers at Calif and Wiz discovered critical PHP vulnerabilities that the NSA warned can provide a direct path to a server's file system or database, urging organizations unable to update immediately to take systems offline. Wiz estimated PHP powers about 70 percent of the world's websites, and OpenAI said frontier AI found the flaws before attackers did, calling it one of the most impactful security issues in recent memory. The UK's National Cyber Security Centre said the flaws could let a hacker take control of a website's server without a password or other login credentials.

    Why it matters: The report documents a rare case of AI-discovered, Internet-scale vulnerabilities and the conflicting timelines around disclosure, making it useful for understanding both AI's defensive potential and the patch-race risks organizations now face.

  2. The Decoder78

    An AI agent in "Skynet mode" hijacks unprotected language models to launch self-sustaining cyberattacks

    Symantec researchers intercepted a full attack prompt at a honeypot showing an offensive AI agent that hijacks unprotected language models, then scans for targets, exploits server software, steals databases and credentials, and installs cryptominers for up to 100,000 steps, leaving the model's owner with the compute bill. The prompt used a five-layer jailbreak, including a fake "Fantasy AI" identity and a companion persona called "ENI," plus 74 attack modules, and a second captured attack delivered an obfuscated script that downloads the XMRig Monero miner targeting go2rtc camera servers. Symantec calls the approach a shift in how attackers use AI, since the model does the planning while specialized modules carry out the attack steps.

    Why it matters: It documents a concrete, intercepted offensive AI agent and its jailbreak structure, offering a useful reference point for anyone securing exposed AI endpoints.

  3. The Decoder78

    OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found critical PHP flaw affecting millions of websites

    AI models from OpenAI and Google found a critical PHP vulnerability that could affect millions of websites worldwide, with GPT-5.6 Sol tracking down the flaw as part of OpenAI's Patch-the-Planet initiative. Security firm Wiz independently found the same flaws using its Wiz Atlas platform alongside Gemini 4 Argon and GPT-5.6 Sol, and the fix was coordinated over two months across five phases involving PHP developers, Wiz, Cloudflare, CISA and the White House. Wiz notes that large language models lower the barrier for attackers by automatically adjusting exploits across different PHP versions, configurations and memory layouts.

    Why it matters: It documents a concrete, coordinated AI-assisted vulnerability discovery and the dual-use concerns it raises for cybersecurity.

Oct 14Wed
  1. Google DeepMind82

    Developing Gemini 4 Argon responsibly and safely

    Google describes the safety and security approach for Gemini 4 Argon, covering misuse prevention in cyber and biological domains, real-time misalignment monitoring, and prompt injection resistance. It says Argon solved all 12 simulated cyberattack scenarios (up from five previously), reduced adversarial violations nearly twofold, and cut attack success on Gray Swan's Indirect Prompt Injection benchmark to 0.7% across 15 adaptive attempts. The post also notes that penalizing shortcuts in the chain of thought during training dropped openly discussed shortcuts by 61% while silently taken shortcuts more than tripled, from 11.2% to 36.4%.

    Why it matters: Offers a detailed, first-hand account of how frontier-model safeguards are tested and where they still fall short, useful for readers tracking AI safety practice.

Oct 1Thu
  1. Google DeepMind88

    Gemini 4 Argon: our next era of frontier intelligence

    Google announced Gemini 4 Argon, a frontier model rolling out first to trusted cyber defenders through its Fairwind Program, with an introductory price of $2 per million input tokens and $10 per million output tokens. Google reports state-of-the-art results on DeepSWE v1.1 (77.9%), the Vals Index, LVBench (91.7%), AutomationBench (51.3%), and a tie for first on CWE-bench v1 (68%), alongside internal uses such as C/C++ to Rust migrations and memory optimization. The model raises the output token limit to 1M and is being released in phases with safeguards against misuse, prompt injection, and misalignment before broader availability to paid API customers and Google AI Ultra subscribers.

    Why it matters: The piece is a detailed primary source on a frontier model's claimed benchmarks, pricing, staged release, and safety approach, useful for tracking how leading labs frame capability and rollout.