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    AI Is Unsafe Until It Learns to Stabilize

    AI Is Unsafe Until It Learns to Stabilize

    Structured Reasoning as Equilibrium

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    AI Fails When It Confuses Conviction With Intelligence

    AI-fueled data center surge is sending U.S. household power bills soaring

    Why Autoregressive Language Models Cannot Lead to Human-Level Intelligence

    Anthropic’s ‘Mythos’ AI Flags 2,000+ Software Flaws in 7 Weeks, Withheld from Public Release Over Safety Risks

    Medicine Is Care, Not Data

    Mark Cuban-backed AI venture turns elders’ conversations into keepsake family histories

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    Super Bowl champ Steve Beuerlein turns to AI for early detection of heart risks

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    U.S. to tighten enforcement against Chinese firms accused of extracting capabilities from American AI models

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Startup Cyera warns the AI security landscape is bleak

Why Predictive AI Cannot Plan and Why Stability AI Can
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AI security startup Cyera says enterprise defenses are lagging as employees flock to public AI tools, exposing sensitive data and forcing CISOs to choose between innovation and risk. CEO Yotam Segev calls the current state “grim,” even as Cyera’s business accelerates—surpassing $100 million in ARR in under two years and reaching a valuation above $6 billion with clients including AT&T, PwC, and Amgen. The company warns that today’s largely “knowledge-system” use will soon give way to agentic AI acting autonomously, heightening exposure without better visibility and controls. A new research lab aims to map how data and AI systems interact inside big organizations. The broader AI landscape continues to heat up: reports say Apple is nearing a roughly $1 billion-per-year deal to use Google’s 1.2-trillion-parameter model to overhaul Siri; the Chan Zuckerberg Initiative is refocusing on AI-driven science; and OpenAI’s CFO clarified the company isn’t seeking a government backstop. A survey cited in the newsletter shows 82% of CISOs face board pressure to use AI automation, 59% fear AI attacks most in the next year, and nearly half expect agentic AI to be their top concern within two to three years.

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Related articles:

– NIST AI Risk Management Framework (AI RMF 1.0)
– OWASP Top 10 for Large Language Model Applications
– MITRE ATLAS: Adversarial Threats to AI Systems
– AI Incident Database

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