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"Experiential data will eclipse the scale and quality of human-generated data," declare legendary AI researchers David Silver and Richard Sutton in a groundbreaking new paper that outlines how autonomous AI systems could develop capabilities "that surpass those possessed by any human." The two Google DeepMind luminaries
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University students are using AI systems like Claude in four distinctly different patterns, each appearing at surprisingly similar rates in student conversations, according to groundbreaking research analyzing real student interactions. End of Miles reports that these interaction patterns challenge the common perception that students primarily use AI just to find
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"One of the most exciting applications is forecasting how a cell will respond to a perturbation — like a drug, a gene knockout, or exposure to a cytokine," reveals Yale Assistant Professor David van Dijk about a breakthrough AI system that can simulate cellular behavior without traditional lab experiments.
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"AI developers routinely deceive models during training, which doesn't give us a great track record in future negotiations," warns AI ethicist Robert Long, highlighting a critical credibility gap that could undermine future cooperation with increasingly sophisticated AI systems. End of Miles reports that this warning comes
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"Do you remember where you were when ChatGPT first came out? That's the feeling I had yesterday. I was playing with o3 when it came out and I realized that my preconceptions about what LLMs were capable of were going to change again." Even for specialists
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"How do we ensure students still develop foundational cognitive and meta-cognitive skills? How do we redefine assessment and cheating policies in an AI-enabled world?" These aren't hypothetical questions for some distant future—they represent immediate challenges facing educators right now, according to a groundbreaking new report.
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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