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Wednesday

  5. The Verge AI

    Sam Altman says OpenAI will not go public until model safety standards are met

    In a press Q&A after the DevDay keynote, Sam Altman said OpenAI will not go public before it can make reliable commitments on model safety, and he did not give a clear timeline. He said waiting too long would be bad for the world, but that the current period of leapfrogging model capabilities and new safety requirements makes pushing ahead with an IPO unwise. He also mentioned that going public could bring pressure to disappoint Wall Street supporters for the sake of safety.

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    #tech-media#Industry news#OpenAI#Anthropic

Thursday

Tuesday

  1. Huxiu

    When Young People No Longer Worship Silicon Valley: A Crisis of Trust in AI Leaders Among America's Younger Generation

    A CNBC and Generation Lab survey of 1,088 Americans aged 18 to 34 found that distrust of nine tech leaders ranged from 65% to 81%, and 45% believed AI would harm their career prospects. Pew data shows that 66% of Americans aged 18 to 29 have already used AI chatbots, but the share of this same group who believe AI will reduce employment rose from 61% in 2024 to 73% in 2026. The author, Chen Yongwei, argues that this wariness stems from narrowing entry points into employment and negative past experiences with digitalization, and advocates letting affected people participate in negotiations over AI rules.

    A CNBC and Generation Lab survey of 1,088 Americans aged 18 to 34 found that distrust of nine tech leaders ranged from 65% to 81%, and 45% believed AI would harm their career prospects. Pew data shows that 66% of Americans aged 18 to 29 have already used AI chatbots, but the share of this same group who believe AI will reduce employment rose from 61% in 2024 to 73% in 2026. The author, Chen Yongwei, argues that this wariness stems from narrowing entry points into employment and negative past exp

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    #hot-signal#English text is being prepared.#Industry news

Monday

Friday

Thursday

Tuesday

  1. Interconnects

    Debating RSI, the China-US gap, and uneven model capabilities with Epoch AI's JS Denain

    In episode 19 of the Interconnects podcast, Nathan Lambert and JS Denain, head of the insights team at Epoch AI, discuss RSI, the China-US model gap, and uneven capabilities. JS believes the evidence in public blog posts from OpenAI and Anthropic is insufficient to prove that AI is about to self-accelerate, but the 2x monthly growth in Codex research spending mentioned in OpenAI's blog post is worth noting; both hold highly uncertain views on where AI is heading.

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    #newsletter#Industry news#Reasoning#English text is being prepared.