AI & Machine Learning
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More on Bing, particularly the Sydney personality undergirding it: interacting with Sydney has made me completely rethink what conversational AI is important for.
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The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
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Gemini 1.5 and Google’s Nature
Google Cloud Next 2024 was Google’s most impressive assertion yet that it has the AI scale advantage and is determined to use it.
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Microsoft and Inflection AI, Inflection Oddities, The Acquisition That Isn’t
Microsoft is acquiring Inflection AI in everything but name, which makes everything about this deal very strange.
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Nvidia Waves and Moats
Nvidia’s GTC was an absolute spectacle; it was also a different kind of keynote than before ChatGPT, which is related to Nvidia’s need to dig a new kind of software moat.
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Apple Releases AI Research Paper, Apple + Gemini?
Apple releases a new paper about AI, while there are rumors the company might partner with Google to offer Gemini in iOS; both make sense for Apple’s strategic position.
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An Interview with Zoom CEO Eric Yuan About Surviving COVID and Building Moats
An interview with Zoom founder and CEO Eric Yuan about starting Zoom, surviving COVID, and building a moat in the enterprise.
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Elon Musk vs. OpenAI, OpenAI’s Response, OpenAI’s Foundational Problem
Elon Musk is suing OpenAI; he probably won’t win, because there wasn’t a contract to be breached, but the lawsuit does highlight how far OpenAI is from the non-profit it started as.
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India and Gemini, Ten Blue Links, The Complicity Framework
Gemini got all of AI into trouble in India; how did this particular mistake happen? Then, Google may have been more dependent on 10 blue links than anyone realized, and a proposal for solving “AI Safety” issues through product decisions.





