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Anthropic has acquired Stainless for approximately $300 million to enhance developer experience and improve connections between agents and external systems. Stainless, founded in 2022, will wind down its products as part of the acquisition. Anthropic's annualized revenue has surged to $30 billion, surpassing OpenAI, and the company is in talks for a new funding round that could value it at $800 billion, ahead of a potential IPO.

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Anthropic Buys Stainless, Acquiring Startup Behind OpenAI's Developer Libraries

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CNBC’s Kate Rooney joins the "Halftime Report" team to discuss Anthropic latest $900 billion valuation and the Investment Committee debates how investors can position their portfolios ahead of potential AI IPOs.

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How investors can trade the AI race to go public

A federal judge is reviewing Anthropic's proposed $1.5 billion settlement with authors who allege the company misused their books to train its AI chatbot, Claude. U.S. District Judge Araceli Martinez-Olguin requested more details on various issues before granting final approval. The settlement, which covers over 92% of the works involved, has faced objections from some authors regarding its adequacy and attorney fees. The case is significant as it is the first major U.S. copyright settlement related to AI training, with ongoing lawsuits from other authors against Anthropic.

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US judge considers Anthropic's $1.5 billion settlement of authors' lawsuit

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BofA has raised price targets for major chip companies, including Nvidia, AMD, Marvell, Micron, and Coherent, with Micron's target nearly doubling to $950 due to AI-driven demand. The AI data center market is projected to reach $1.7 trillion by 2030, with significant contributions from AI accelerators. However, despite optimistic forecasts, chip stocks may face volatility risks, including bubble comparisons and geopolitical uncertainties that could lead to sudden shifts in market sentiment.

- Bank of America raised price targets for several companies, including Nvidia, AMD, Marvell, and Micron, with Micron's target nearly doubling to $950 due to AI-driven demand.  
- The AI data center market is forecasted to reach $1.7 trillion by 2030, largely driven by $1.2 trillion in spending on AI accelerators from hyperscalers.  
- Despite optimistic projections, chip stocks are under threat from bubble concerns, abrupt selloffs, and geopolitical uncertainties, indicating potential volatility.

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The Pentagon is utilizing Anthropic's Mythos cybersecurity model to identify and address software vulnerabilities within the U.S. government. This deployment occurs concurrently with efforts to transition away from the AI firm, as stated by the Defense Department's leading technology official.

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Pentagon deploys Anthropic's Mythos to patch cyber gaps while planning to ditch firm

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Mpathic, a Seattle startup, has released mPACT, a benchmark evaluating AI models like Claude, ChatGPT, and Gemini in handling high-risk conversations. While models generally avoided harmful responses, they fell short in providing adequate support in crisis situations. Claude Sonnet 4.5 performed best in suicide risk detection, while eating disorders posed challenges due to indirect risk signals. Misinformation handling was also weak, with models reinforcing flawed beliefs. Mpathic aims to enhance AI safety and accountability, having raised $15 million in funding and partnered with clinical organizations.

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Leading AI chatbots avoid harm but fall short in high-risk conversations, startup’s new benchmark finds

Japan is enhancing its defense against threats from advanced AI, particularly models like Anthropic's Mythos. Prime Minister Sanae Takaichi has directed officials to protect critical infrastructure and identify cybersecurity vulnerabilities. Concerns are rising globally about AI's potential to exploit software weaknesses, prompting discussions with U.S. Treasury officials. Japan's cybersecurity minister emphasized the need for proactive measures, with a working group formed to collaborate with the central bank and private sector. The government plans to disclose these measures soon, amid broader international efforts to regulate AI technology.

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Japan Steps Up Defense Against Advanced AI, Including Mythos

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Japan's Finance Minister Satsuki Katayama confirmed a two-hour meeting with US Treasury Secretary Scott Bessent, discussing forex markets, financial cooperation, critical minerals, and AI supply chains. The talks reaffirmed close bilateral cooperation under a joint statement from last year, despite tensions over yen management. The meeting signals active coordination on yen stability and reflects a broadening economic agenda between the US and Japan, addressing dependencies on China and strategic priorities in advanced technology and clean energy.

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Katayama says two-hour Bessent talks covered forex, critical minerals and AI

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Lyrie.ai, developed by OTT Cybersecurity LLC, has completed a $2 million pre-seed funding round and exited stealth mode. The funds will enhance platform development and expand the security research team. Lyrie aims to establish the Agent Trust Protocol, an open standard for AI agent identity and security, to address vulnerabilities in the rapidly growing AI agent economy. The company is also preparing for a Series A round to scale its operations in enterprise and government sectors. Additionally, Lyrie has joined Anthropic’s Cyber Verification Program to bolster its cybersecurity efforts.

- Lyrie.ai, an autonomous cybersecurity platform by OTT Cybersecurity LLC, announced a $2 million pre-seed funding round and its exit from stealth, which will support platform development and security research.  
- The company aims to establish the Agent Trust Protocol, an open standard for AI agent identity and operations, addressing security concerns as autonomous AI agents are deployed in enterprises and government.  
- Lyrie’s platform will provide comprehensive security solutions, including penetration testing and adversarial AI red-teaming, while being positioned as a foundational layer for the emerging agentic AI economy.

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Lyrie Completes $2 Million Preseed Round to Build the Security Layer for the AI Agent Era

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