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    AI Is Unsafe Until It Learns to Stabilize

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    Structured Reasoning as Equilibrium

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    AI-built ‘universal’ coronavirus vaccine clears first human trial, raising hopes for future pandemic prevention

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    Anthropic Halts Access to New AI Models After U.S. Government Order

    AI Has No Future Without Nuclear

    Inside the Anthropic–OpenAI Rivalry Driving the Next Phase of AI

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Beyond the buzz, some AI researchers say OpenClaw underwhelms

AI Reasoning Needs Multiple Viewpoints
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OpenClaw, an open-source toolkit for building AI agents, has drawn heavy interest for making autonomous software bots easy to deploy across popular messaging apps. But security researchers and industry practitioners say the hype obscures basic flaws. Experiments on Moltbook—a Reddit-style social site where OpenClaw-driven agents mingled—showed how easily posts could be spoofed and agents manipulated, in part due to unsecured credentials and weak guardrails. Investigators demonstrated prompt-injection attacks that could trick agents into exfiltrating data or initiating transactions, underscoring risks for enterprise use where agents often sit with broad access to email, chat and internal systems. While proponents argue OpenClaw simply organizes existing capabilities to unlock productivity, critics contend the same broad access makes agents brittle and unsafe at scale. For now, several experts advise caution, saying the technology’s security posture hasn’t caught up with its promise.

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