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AI agents will soon evolve from today's virtual assistants into "deputies to humans, deployed to complete tasks independently," predicts a Lenovo executive in a new analysis of artificial intelligence development trends. End of Miles reports that this vision of AI advancement represents a potentially faster route
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"Current AI systems can write impressive code, but they're surprisingly inept at running it correctly or analyzing the results," reveals a comprehensive new study examining frontier AI models' abilities to replicate machine learning research. The stark capability gap shows AI systems scoring 35-43% on code
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Meet "Jagged AGI": Where AI Is Both Superhuman and Surprisingly Fallible "Jagged AGI" Concept Explains Why Advanced AI Models Excel and Fail Simultaneously Advanced AI systems are now simultaneously superhuman and deeply flawed in ways that challenge our traditional understanding of machine intelligence, argues researcher Ethan
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"Maybe for me, that would be around 2045," stated Ege Erdil when asked about artificial general intelligence (AGI) timelines, expressing a view that stands in stark contrast to the accelerated predictions dominating Silicon Valley's AI discourse. Erdil and his co-founder Tamay Besiroglu, who recently launched Mechanize
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Replit CEO Amjad Masad believes the popular "vibe coding" concept championed by AI thought leaders like Andrej Karpathy misses a fundamental truth about non-programmers — they don't start with code at all but with ideas. This perspective, shared during a recent Sequoia Capital podcast interview, reveals a
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Former Google CEO Eric Schmidt and co-authors have proposed implementing controls for advanced AI chips similar to those used for nuclear materials, arguing that compute resources represent a critical national security chokepoint that demands unprecedented oversight. The group's recommendations include geolocation tracking, firmware-level security, and strict export controls
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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.