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  1. Anthropic:The InstituteSelected

    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.

    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

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  1. The Next Platform

    Gartner: GenAI Hardware Investment Far Exceeds Model and Platform Revenue

    Gartner data shows that GenAI model revenue was $1.4 billion in 2023 and $5.7 billion in 2024 (a 320.4% increase), and is projected to be $2.83 billion in 2026, with growth having slowed markedly, far below OpenAI's approximately $25 billion and Anthropic's $47 billion ARR in May. The AI platform market is already larger than the model market itself, while revenue growth for vertical-domain specialized models is about twice that of general-purpose foundation models. Data center and hardware investment over the next two years will reach trillions of dollars.

    Gartner data shows that GenAI model revenue was $1.4 billion in 2023 and $5.7 billion in 2024 (a 320.4% increase), and is projected to be $2.83 billion in 2026, with growth having slowed markedly, far below OpenAI's approximately $25 billion and Anthropic's $47 billion ARR in May. The AI platform market is already larger than the model market itself, while revenue growth for vertical-domain specialized models is about twice that of general-purpose foundation models. Data center and hardware inve

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