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Chevron Corporation's exploration of AI-enabled financial modeling yielded "virtually the same" results in minutes compared to weeks of analysis by teams of experts, according to Chairman and CEO Mike Wirth. The revelation provides quantifiable evidence of AI's capacity to transform high-level corporate decision-making processes
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"AI isn't just computing infrastructure, it's also cultural infrastructure," declared NVIDIA CEO Jensen Huang in a striking assessment of artificial intelligence's deeper societal implications beyond its technical capabilities. End of Miles reports this perspective emerged during a high-level discussion between Huang and
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Artificial intelligence will boost the GDP of "every country in the double digits in the coming years," according to NVIDIA founder and CEO Jensen Huang, who compared the economic transformation to the electricity revolution of the early 20th century. The surprisingly concrete economic prediction came during a high-level
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OpenAI CEO Sam Altman has made a striking admission that could reshape strategic thinking across the artificial intelligence industry: given the choice between owning a platform with a billion users or possessing the most advanced AI model five years from now, he would choose the distribution network over the technology.
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"There are simply no good historical examples of governments running successful high-tech projects of this nature," stated AI thought leader Dwarkesh Patel when discussing the prospects of government-led artificial intelligence development programs. End of Miles reports that despite growing calls for national AI initiatives and heightened geopolitical concerns
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"Just let NASA do it," suggests Dwarkesh Patel, offering a surprising candidate to lead America's national artificial intelligence efforts. "They've got enough smart people. They have this sort of history of innovation." End of Miles reports that as governments worldwide consider establishing
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"The improvement of these now essentially deep learning algorithms is going up at about a factor of 10 a year," former Google CEO Eric Schmidt revealed during a recent tech forum, characterizing the rate as "mindboggling" and warning that this already staggering pace could soon accelerate
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"We are not going to get to human level AI by just scaling up LLMs. This is just not going to happen," declares Yann LeCun, his voice carrying the weight of decades at the frontier of artificial intelligence research. "The idea that we're going to
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"We've kind of run out of natural text data to train those LLMs. They're already trained with you know on the order of 10 to the 13 or 10 to the 14 tokens. That's a lot. That's the whole internet,"
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A deceptively simple new AI technique from Anthropic creates a designated "thinking space" that transforms general language models into domain specialists without extensive retraining, potentially revolutionizing how businesses implement AI across specialized industries. End of Miles reports the new approach, detailed in Anthropic's March 20th engineering
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"In the early days after 9/11, our targeting cycle was minutes or seconds. By the following spring, it had degraded to weeks, months, or never," former Blackwater founder and Navy SEAL Erik Prince reveals about America's most costly military engagement. "And we bureaucratized hunting
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"Right now, about 60% of GDP is spent on labor. That's going to potentially go closer to zero," states AI thought-leader Dwarkesh Patel, highlighting a fundamental economic restructuring that may challenge the very foundation of democratic governance. "Even if GDP increases a lot, the relative