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Anthropic raising $30B as Pentagon tests rivals

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Monday, May 25, 2026

Anthropic raising $30B as Pentagon tests rivals

Anthropic is closing a $30 billion funding round as soon as next week, while the Pentagon is testing rival models to potentially replace them in defense applications. Meanwhile, David Sacks convinced Trump to backtrack on a planned AI safety executive order over concerns about China competition.

Top Stories

1
David Sacks's 11th-Hour Plea Led to Trump's Backtrack on AI Executive Order

Wall Street Journal

A venture capitalist's last-minute intervention convinced Trump to scrap an AI safety executive order, prioritizing competitive advantage over regulatory caution. This reflects ongoing tension between innovation acceleration and responsible AI governance.

regulationai-policyventure-capitalgeopolitics
2
Pentagon tests rival AI models in race to replace Anthropic

Bloomberg

The U.S. Pentagon is testing competing AI models to potentially replace Anthropic, signaling a shift in the Department of Defense's AI vendor strategy and the critical role of AI in military operations.

anthropicpentagondefensegovernment
3
Anthropic to close over 30 billion round as soon as next week

Bloomberg

Anthropic is set to close a funding round valuing the company at over $30 billion next week, marking one of the largest AI investments to date and highlighting fierce competition among foundation model developers.

anthropicfundingllmfoundation-models
4
Claude Code autonomously discovers a reasoning algorithm cutting inference compute 70%

arXiv

AutoTTS enables AI agents to automatically discover optimal test-time scaling strategies for LLMs, achieving 70% inference compute reduction while improving accuracy. The framework shifts research focus from manual heuristic design to creating environments where AI can autonomously optimize its own reasoning patterns.

llmtest-time-computeagentsinference-optimization
5
Measuring LLMs' ability to develop exploits

Anthropic

Anthropic's Claude Mythos Preview demonstrates unprecedented exploit development capabilities, successfully creating end-to-end exploits for real-world vulnerabilities across multiple benchmarks while vastly outperforming other frontier models. This capability advancement prompted Anthropic to deploy the model through a restricted program due to cybersecurity concerns, as such capabilities are expected to become widely available within 6-12 months.

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