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    Structured Reasoning as Equilibrium

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    Apollo economist: Most companies still see no financial gains from AI

    Microsoft claims new clinical AI tops general practitioners on tough diagnoses

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    Authentic Brands sues Anthropic, alleging it trained AI on 274 Elvis Presley songs without permission

    Tracking AI’s casualties: an ongoing list of shuttered projects and failed startups

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    Trump presses for self-powered data centers with community payouts; Anthropic chief defends safety stance and curbs on China sales

    Anthropic to Allocate 5% of Its Equity to a Public-Benefit Fund

    Musk, Anthropic float plans to give ordinary Americans a direct stake in the AI boom

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Tracking AI’s casualties: an ongoing list of shuttered projects and failed startups

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A growing number of AI ventures are faltering as Big Tech folds once-separate tools into flagship platforms and consumer enthusiasm cools. Relay, an automation startup positioned against Zapier, closed after larger players embedded comparable features. Character.ai, once a breakout consumer app valued at $1 billion before a Google licensing deal, filed for bankruptcy amid lawsuits, compliance pressures and operational strain; Disney emerged as a stalking-horse bidder for IP. Even market leaders have stumbled: OpenAI scrapped a short-lived “super app” redesign and retired spin-offs like ChatGPT Atlas while absorbing features back into ChatGPT; its Sora video-sharing service was shuttered. Apple’s upgraded Siri faced repeated delays and a $250 million settlement tied to marketing claims, while Microsoft’s Recall feature drew sustained privacy backlash despite redesigns. Hardware experiments fared poorly: Humane’s AI Pin collapsed after safety issues and was sold off; Rabbit’s R1 underwhelmed on performance, though updates continue. Smaller products including Notion Mail, Huxe, Yupp and Figgs AI also wound down as costs, competition and thin product-market fit mounted. S&P Global estimates roughly 42% of corporate AI initiatives are ultimately abandoned—an industry reminder that hype often outpaces execution, and distribution and durability matter as much as model quality.

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