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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Ads in ChatGPT, Why OpenAI Needs Ads, The Long Road to Instagram
OpenAI finally announced that ads are coming to ChatGPT. It’s an important step, but one with far more risk given the delay — and the delay means the ads aren’t yet the right ones.
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Apple and Gemini, Foundation vs. Aggregation, Universal Commerce Protocol
The deal to put Gemini at the heart of Siri is official, and it makes sense for both sides; then Google runs its classic playbook with Universal Commerce Protocol.
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ChatGPT Image 1.5; Apple v. Epic, Continued; Holiday Schedule
ChatGPT Image 1.5 launched, and while it seems comparable to Gemini’s Nano Banana Pro, the product around it shows OpenAI’s advantages. Then, Apple v. Epic rolls on.
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Disney and OpenAI, Totems in an AI World, Google Versus the World
Disney made a deal with OpenAI, which both speaks to the durability of Disney’s assets and to OpenAI’s competition with Google.
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OpenAI Code Red, AWS and Google Cloud Networking
OpenAI is declaring code red and doubling down on ChatGPT, highlighting the company’s bear case. Then, AWS makes it easier to run AI workloads on other clouds.
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Google, Nvidia, and OpenAI
OpenAI and Nvidia are both under threat from Google; I like OpenAI’s chances best, but they need an advertising model to beat Google as an Aggregator.
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Nvidia Earnings; Power, Scarcity, and Marginal Costs; OpenAI Hand-wringing
Nvidia earnings are the wrong place to look for evidence of an AI bubble; the company’s margins should be safe if power is the limiting factor.





