Big Blog Items

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Emmanuel Ameisen on LLM Interpretability – O’Reill…
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Generative AI in the Real WorldGenerative AI in the Real World: Emmanuel Ameisen on LLM Interpretability Play Episode Pause Episode Mute/Unmute ...

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Taiwan’s Energy Future: Nuclear or Renewables?
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Taiwan failed to pass an August referendum on whether or not a nuclear plant should be restarted, if it were deemed safe to operate. While the more than 4 ...

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Early Prime Day Deals: 0 Off 2 Best-Selling Esp…
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Hi. it turns out Prime Day is only really a suggestion on the calendar. A lot of brands like to kick out early Prime Day deals before getting lost in the ...

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What is the Transparency in Frontier Artificial In…
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When it comes to AI, as California goes, so goes the nation. The biggest state in the US by population is also the central hub of AI innovation for the ...

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Kalshi argues that geography doesn’t matter in IGR…
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Kalshi, the leading North American prediction market, argues that the location of placed bets does not contradict the Indian Gaming Regulatory Act ...

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US investigators are using AI to detect child abus…
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The filing, posted on September 19, is heavily redacted and Hive cofounder and CEO Kevin Guo told MIT Technology Review that he could not discuss the ...

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Beware coworkers who produce AI-generated ‘workslo…
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Researchers at consulting firm BetterUp Labs, in collaboration with Stanford Social Media Lab, have coined a new term to describe low-quality, AI-generated ...

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Trump says Microsoft should fire its global affair…
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Featured Podcasts Hard Fork: The Great A.I. Build-Out + H-1B Visa Chaos + TikTok Braces for the Rapture The future is already here. Each week, ...

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Dreo’s New Space Heaters Can ‘Heat a Large Room Wi…
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Though winter is a few months away, you might be planning to get a space heater before the cold strikes. Planning for high electric bills is another matter. ...

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Trust but Verify – O’Reilly
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We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that humans understand things. They’re ...

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