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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The Deployment Company, Back to the 70s, Apple and Intel
OpenAI is forming a new company to deploy AI, and the other labs aren’t far behind, reinforcing the thesis that AI’s impact will require top-down implementation. Then, Apple has economic reasons to work with Intel.
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SpaceX and Anthropic, xAI’s Two Companies, Elon Musk and SpaceXAI’s Future
The Anthropic xAI deal is shocking but not surprising: Musk should double down on serving other companies.
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The Inference Shift
Agentic inference is going to be different than the inference we use today, and it will change compute infrastructure because speed won’t matter when humans aren’t involved.
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An Interview with Joanna Stern About Living With AI
An interview with Joanna Stern about her new book about living with AI, and starting her own media company.
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Microsoft Earnings, Apple Earnings
Microsoft unveils its new agentic business model, and Apple confronts shortages in memory and chips even as the Mac benefits from AI.
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Amazon Earnings, Trainium and Commodity Markets, Additional Amazon Notes
Amazon’s earnings suggest that the shift away from training towards inference and agents means their bet on Trainium is paying off. Plus, additional notes on ads, agents, and sports rights.





