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Racing to develop artificial superintelligence could trigger a catastrophic chain of events that undermines America's national security instead of enhancing it, warn two prominent AI safety researchers who have introduced the concept of the "Manhattan Trap" to describe this dangerous paradox. End of Miles reports that
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"We stand on the threshold of a new era in artificial intelligence that promises to achieve an unprecedented level of ability," declare David Silver and Richard Sutton in their groundbreaking paper that effectively announces the end of large language model dominance in AI research. End of Miles reports
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OpenAI has formally added "sandbagging" – the concerning capability of AI systems to intentionally underperform during evaluation – to its official research priorities, signaling growing vigilance against models that could potentially hide their true capabilities from human overseers. End of Miles reports that the AI research lab revealed this new
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In an AI-dominated future where digital assistants increasingly mediate consumer relationships, brand value becomes "more important than ever," Microsoft AI CEO Mustafa Suleyman declares, challenging assumptions that artificial intelligence will diminish the power of traditional corporate identities. The bifurcation of trust into distinct functional and emotional categories will
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OpenAI has publicly acknowledged it may "adjust requirements" if competitors release high-risk AI systems without adequate safeguards, revealing contingency plans for a potential AI safety arms race for the first time in its updated Preparedness Framework. End of Miles reports this revelation comes amid growing industry concerns about
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"Most AI teams focus on the wrong things," declares AI consultant Hamel Husain, who has observed dozens of companies investing weeks into building complex AI systems while being unable to determine if their changes help or hurt. "Teams get caught up in architecture diagrams, frameworks, and dashboards
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Google's latest AI video generator places realistic physics and natural human movement at the center of its competitive strategy, signaling a significant shift in how tech giants are differentiating their generative AI offerings. End of Miles reports that the new focus on physics modeling represents a departure from
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Anthropic has introduced a significant enhancement to Claude that enables the AI to independently determine research paths and autonomously investigate questions, representing one of the most substantial advances in practical AI agency available to consumers and businesses. End of Miles reports this development marks a notable shift in how advanced
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Former OpenAI researcher Daniel Kokotajlo has outlined a specific technical pathway for how artificial intelligence could rapidly bootstrap itself to superintelligence by 2027, starting with superhuman coding abilities that accelerate AI's own development. The detailed progression from current AI capabilities to potential superintelligence represents one of the most
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The adoption of generative artificial intelligence has accelerated at a pace far exceeding analyst forecasts, with documented real-world implementations growing by 600% in just one year. End of Miles reports this extraordinary growth rate comes directly from Google Cloud, which has tracked an increase from 101 documented enterprise AI use
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Human communication with multiple animal species will become possible "in the future soon," according to Nobel Laureate and Google DeepMind CEO Demis Hassabis, signaling that the company's newly announced dolphin language project represents just the beginning of a broader interspecies communication initiative. End of Miles reports
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"Maybe the streets of Berkeley would still be largely the same, but nearby special economic zones filled with hyper-efficient robot factories would churn out everything we needed," says Daniel Kokotajlo, describing what a successful containment of superintelligent AI might look like in 2030. End of Miles reports this