The Application of AI
How AI works, and might work in the future
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Generative AI is the bridge to the next computing paradigm of wearables, just like the Internet bridged the gap from PCs to smartphones.
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It’s possible that large language models are more like the human brain than we thought, given that it is about prediction; that is why ChatGPT needs its own computer in the form of plug-ins.
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Trends in medium, AI, and user interaction underpin Instagram’s response to TikTok, and will determine Meta’s long-term moat.
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An Interview with Ben Bajarin About Apple, AI, and Compute
An interview with Ben Bajarin about WWDC and the status of the AI compute industry.
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An Interview with Microsoft CEO Satya Nadella About Finding Core Competencies
An interview with Microsoft CEO Satya Nadella about figuring out Microsoft’s role in AI, the relationship with OpenAI, Capex, Software, and a potential new agentic platform.
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Google I/O, World Models, I/O Spaghetti
Google I/O put AI everywhere, for better and for worse. Meanwhile, is DeepMind aligned with Google’s business objectives?
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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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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.