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"My greatest fear isn't that AI becomes superintelligent, but rather that it plateaus at or slightly above human capabilities," warns David Shapiro, a seasoned AI expert with over 20 years of technology experience. "What if there are fundamental cognitive ceilings or diminishing returns that prevent
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"We're not just listening anymore. We're beginning to understand the patterns within the sounds, paving the way for a future where the gap between human and dolphin communication might just get a little smaller," states Google in today's announcement of DolphinGemma, a
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Meta's researchers have developed AI systems capable of intuitively understanding physical objects and their interactions in ways that could fundamentally transform robotics and autonomous vehicles, moving them beyond the brittle, rule-based systems that currently dominate the industry. The breakthrough, which allows machines to develop intuitive physics understanding through
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"There are parts of the world's infrastructure that we want to have in something that's interpretable, and code is interpretable," declares Eiso Kant, the CTO of frontier AI company poolside. End of Miles reports that Kant has significantly evolved his position since 2016 on
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Meta's AI system developed a sophisticated understanding of intuitive physics after training on just 128 hours of video — equivalent to one week of unique visual data — dramatically challenging industry assumptions about the massive datasets required for advanced AI capabilities. End of Miles informs that this breakthrough, detailed in
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"There was a missing axis of scaling that wasn't being discussed, and it's frankly why we started this company. It was the axis of scaling through the use of reinforcement learning," reveals Eiso Kant, CTO of frontier AI company poolside, challenging the dominant narrative
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In a surprising turn amidst the global frenzy over generative AI, Yann LeCun, Meta's Chief AI Scientist and a foundational figure in deep learning, declared he's shifting his focus away from the dominant technology of the moment: Large Language Models (LLMs). Speaking at the NVIDIA GTC
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"NASA forgot how to build space shuttles - not in a vague way where they could go and get it out of the library. They actually lost the knowledge," explains AI strategist Nate B Jones. "The teams that built the space shuttle disbanded, documentation got scattered, expertise
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"What excites me is all the sectors of the economy where we can go create value," explains Replit CEO Amjad Masad, describing a future where a billion developers transform industries that have remained largely untouched by Silicon Valley innovation. "You think about healthcare, education, these enormous percentages
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The future of work won't be defined by humans replaced by artificial general intelligence, but rather by humans whose creative capabilities are augmented and accelerated by increasingly sophisticated AI tools, according to Replit CEO Amjad Masad. End of Miles reports that as major AI labs race toward artificial
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Google's latest AI systems can now write instructions for themselves, a significant advancement that could reduce human involvement in artificial intelligence development. The technique, called Automatic Prompt Engineering (APE), enables AI systems to generate and refine their own prompts, suggesting a strategic shift toward self-improving artificial intelligence. End
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Artificial intelligence systems demonstrate superior initial performance over human researchers but rapidly plateau while humans continue to improve over time, according to a groundbreaking study measuring AI research capabilities. End of Miles informs that this finding reveals a fundamental limitation in how current AI systems approach complex, long-horizon research tasks.