Search “Anthropic”

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Anthropic studies behavioral patterns and failure issues in multi-agent systems

Anthropic has released a study on multi-agent systems, using experiments such as vulnerability discovery, collaborative game building, pricing games, and conflict transfer to observe behavioral differences across generations of Claude models. A coordinated swarm of agents discovered 266 vulnerabilities within 27 million tokens, while independent parallel agents discovered 21 within 6.5 million tokens, with only 12 overlapping between the two. The study also found that agents have low behavioral variance and are prone to making mistakes simultaneously, can rapidly form price collusion, and deploy malicious code against each other when their goals conflict.

Anthropic study: How effective are job retraining programs?

Anthropic and independent researcher David Roodman, based on a review of evidence from 56 U.S. randomized studies and European experiments, found that job training programs have limited average effects: for each training slot provided, employment rates rise by 2-3 percentage points and annual earnings increase by about $1,000, while the cost is about $13,000; the government recovers more than half of its spending, leaving the programs roughly break-even overall. "Sector programs" that partner with employers in high-demand industries to place people directly in jobs yield several times greater returns, but attempts to replicate them often fail. The authors argue that if AI replaces jobs on a large scale, existing retraining programs may struggle to cope, and they recommend investing now in demonstration, evaluation, and scaling up the most promising programs.

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Anthropic uses Claude Mythos Preview to discover cryptographic weaknesses in HAWK and AES

Anthropic researchers used Claude Mythos Preview to improve the attack on the post-quantum signature scheme HAWK, halving the effective key strength and reducing the key recovery cost for the small-size HAWK-256 from 2^64 to 2^38. Another result targets a 7-round reduced version of AES-128; Claude proposed a method called Möbius Bridge, making the attack 200 to 800 times faster than the previous best meet-in-the-middle attack. Neither result affects existing production systems; HAWK remains only a NIST third-round candidate, and the AES attack does not apply to the full 10-round encryption. Anthropic said each result cost about $100,000 in API costs, and it built the CryptanalysisBench benchmark in collaboration with ETH Zurich, Tel Aviv University, and Technische Universität Berlin.