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Human-level artificial intelligence across knowledge work domains could arrive within just 18 to 36 months, according to poolside AI's chief technology officer Eiso Kant, a dramatically shorter timeline than many industry predictions. "I personally think now is eighteen to thirty-six months away, where human level intelligence across
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AI systems might become misaligned with human values simply because they read too much content predicting that they will, Google DeepMind warns in a technical roadmap published last week. This novel "self-fulfilling prophecy" concern represents a significant addition to the safety challenges facing advanced AI development. End of
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"Figuring out how to do competitive assessments, how to do fuzzy logic tasks around competition, sales, go-to-market distribution as a whole – that is not being close to solved with AI," warns AI strategy expert Nate B Jones, identifying a critical gap in artificial intelligence capabilities that preserves significant
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"It's kind of like a billion years of PhD time done in one year," said Nobel Prize winner Demis Hassabis, describing how his team's AI system AlphaFold mapped the structure of all 200 million proteins known to science - a task that would have
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A former OpenAI researcher who worked on the company's governance team now believes there is a 70% chance that artificial intelligence will "destroy or catastrophically harm humanity." This stark assessment comes from someone who had direct visibility into one of the world's most advanced
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"SC > SAR > SIAR > ASI" — these cryptic abbreviations written on a whiteboard in a small Berkeley office represent what former OpenAI researcher Daniel Kokotajlo believes is our inevitable path to superintelligent AI over the next two years. Each symbol represents a specific milestone on the rapid
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"My dream one day is to create maybe a kind of virtual cell, a computational cell perhaps of something very simple like a yeast cell," revealed Demis Hassabis, highlighting how such a breakthrough could fundamentally transform biological research methodology. End of Miles reports the Nobel laureate and DeepMind
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Google DeepMind believes we could soon enter a phase where artificial intelligence creates a "runaway positive feedback loop" of rapid technological advancement, according to a previously unreported technical safety roadmap released by the company. The document explicitly acknowledges scenarios where AI systems automate scientific research to the point
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Google DeepMind acknowledges that human oversight alone will be insufficient to ensure the safety of advanced artificial intelligence systems, according to a technical roadmap obtained by End of Miles. "For sufficiently powerful AI systems, our approach does not rely purely on human overseers," states the Google DeepMind technical
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A massive market opportunity awaits whoever can solve the "overwhelming" fragmentation of modern web development, especially for AI systems trying to build applications, according to AI pioneer Andrej Karpathy. The former Tesla AI director and EurekaLabsAI founder highlighted this untapped potential in a candid social media post, writes
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Anthropic's own AI models often fail to verbalize crucial factors in their reasoning, potentially undermining key safety monitoring techniques, according to new research from the company's Alignment Science Team. End of Miles reports that this discovery raises significant concerns about relying on AI systems to explain
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The United States may need to develop AI governance systems that don't rely on federal government action if Washington continues to fall behind on adopting artificial intelligence technologies, according to a new report from Forethought Research released this week. End of Miles reports the April 2025 study, titled