Eric Schmidt (2): 矽谷正逐漸與美國其他地區脫節......
苦口婆心，矽谷的AI熱遠離人民日常萬事的應用改善 (如中國農民用AI改善收成)，
過熱/走火入魔/欲速不達？
加入火箭新創公司 Relativity Space 擔任C.E.O. 談 二三年後的AI之agents to action 的威力。 成立公司出書Eric Schmidt-founded Innovation Endeavors 切斷與Alphabet Inc.最後聯繫。 a new home for computer science at Princeton University將辭去Alphabet執行董事長職務 to head new Pentagon innovation board. Interview. Google: “Whack-a-mole is our life /”Google And The Search For The Future
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Elon Musk has praised Google as having the strongest current lead in the AI race, highlighting the tech giant’s unmatched compute power and vast data resources. Speaking about the future of artificial intelligence, Musk noted that while Google is ahead today, the landscape could shift in the coming years as new innovations emerge.
Musk also used the opportunity to continue his ongoing feud with Sam Altman and OpenAI, suggesting that competition between AI companies is heating up. Despite rivalries, he emphasised that all major players, including his own xAI, are likely to thrive in the near term as the AI industry expands at an unprecedented pace.
Google’s dominance in AI is backed by decades of investment and research breakthroughs, including the revolutionary Transformer model that powers modern natural language processing. The company is now ramping up AI spending to $85 billion this year, further solidifying its position as a global AI leader. Google’s involvement with startups like Anthropic also reflects its strategy to stay at the cutting edge of artificial intelligence innovation.
As AI continues to transform industries and daily life, Musk’s comments highlight the intense competition and rapid technological advancements shaping the future. Analysts are watching closely to see whether Google can maintain its lead or if other AI innovators will rise to challenge the tech giant.
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Fortune
A report published by MIT’s NANDA initiative has found that most generative AI initiatives implemented to drive revenue growth are falling flat, reports Sheryl Estrada for Fortune. “Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact of P&L,” explains Estrada.
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