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Artificial intelligence capabilities are now increasing over twenty-fold annually, potentially compressing a century's worth of technological development into a single decade and far outpacing society's capacity to adapt, according to groundbreaking research by Oxford philosophers. End of Miles reports that these findings represent a significant departure
"This is the most consequential technology of all time, not just our time," declared NVIDIA CEO Jensen Huang, making an extraordinary assessment of artificial intelligence's global impact while urging immediate national engagement despite implementation challenges. End of Miles reports that Huang made these remarks during a
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"Nobody's going to do this for you. You've got to do it yourself," NVIDIA CEO Jensen Huang declared in an unusually direct warning to national leaders about building sovereign artificial intelligence infrastructure. End of Miles reports that Huang's stark message came during
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"A single person with AI assistance can produce solutions at a quality level statistically identical to what you'd get from a traditional two-person team," explains Dr. Fabrizio Dell'Acqua, lead researcher at Harvard Business School and the Digital Data Design Institute at Harvard. "This
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"Progress is faster in the open source world, that's for sure," declares Yann LeCun, Meta's chief AI scientist and Turing Award winner, challenging the notion that proprietary AI development leads the innovation race. The AI pioneer's assessment comes amid the meteoric rise
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Generative AI functions as a genuine "cybernetic teammate" in workplace settings, offering employees the collaborative benefits traditionally only provided by human colleagues, according to groundbreaking research from a joint academic-industry team. End of Miles reports the field experiment, conducted with 776 Procter & Gamble professionals, demonstrates that AI
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"If you use AI to come up with a new drug, you can make lots and lots of money. If you use AI to find a new use for an old, inexpensive drug, no one makes any money off of it," explains Dr. David Fajgenbaum, whose AI platform
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"We've basically run out of natural text data," declares Yann LeCun, setting down a stark reality check for an industry racing toward increasingly powerful AI systems. The Meta chief AI scientist's assessment cuts through the typical industry optimism about endless scaling possibilities. This scarcity
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"We started using more realistic models, and suddenly, the engagement dropped," explains Pau Garcia, founder of Domestic Data Streamers. "People felt less connected to the AI-generated memories when they looked more photorealistic. It was completely counterintuitive." End of Miles reports that this unexpected discovery is reshaping
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Large language models have "absolutely no way" of achieving human-level intelligence despite their impressive capabilities, declares Yann LeCun, who instead has quietly guided Meta toward a fundamentally different AI architecture that eschews generation altogether. This alternative path toward machine reasoning, writes End of Miles, represents perhaps the most
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Renewable energy installations may soon benefit from hyper-specialized weather forecasts generated within minutes on standard desktop computers, eliminating the need for supercomputing resources and years-long development cycles. End of Miles reports this breakthrough comes from Aardvark Weather, a new end-to-end AI forecasting system developed through international collaboration between the University
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"By default, people will be too trusting of advanced AI systems," warns Dwarkesh Patel, suggesting that our natural human response to increasingly sophisticated AI interactions may lead to unexpected social vulnerabilities. End of Miles reports that this perception shift—from viewing AI systems as tools to treating them