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    AI Reasoning Needs Multiple Viewpoints

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    Intelligence as Collaboration

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    Stabilize and Unstabilize A Framework for Real World AI

    Stabilize and Unstabilize A Framework for Real World AI

    AI Is Unsafe Until It Learns to Stabilize

    AI Is Unsafe Until It Learns to Stabilize

    Structured Reasoning as Equilibrium

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

    AI Fails When It Confuses Conviction With Intelligence

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    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

    Nvidia’s Toughest AI-Chip Challenger Isn’t AMD, Intel, or Broadcom—It’s Google

    The End of Why

    Silicon Valley’s newest flex: a Sequoia-branded Mac mini to run your AI agent

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

    Medicine Is Care, Not Data

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

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    Silicon Valley’s newest flex: a Sequoia-branded Mac mini to run your AI agent

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

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Human researchers outperform top AI agents on complex scientific workflows

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Scientists are rapidly adopting AI, with natural-science papers mentioning the technology surging nearly 30-fold since 2010 to more than 80,000 in 2025—up 26% from 2024—according to Stanford’s Artificial Intelligence Index Report 2026. Even so, the report finds today’s autonomous AI “agents” falter on complex, multistep workflows, scoring roughly half as well as human PhD specialists. Physical sciences led in volume (33,000 papers) while Earth sciences showed the highest share of AI-mentioning work (9%), amid expanding “science foundation models” such as AION-1 for astronomy. Researchers cite widespread reliance on AI, but clear productivity gains remain unproven; some scholars, including Princeton’s Arvind Narayanan, warn that quality may be slipping as adoption outpaces evolving norms. The report also flags milestones such as AI-generated content surpassing human-authored material online in late 2024 and the debut of operational AI-powered weather forecasts in early 2025.

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