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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An Interview with New York Times CEO Meredith Kopit Levien About Betting on Humans With Expertise
An interview with New York Times Company CEO Meredith Kopit Levien about human expertise as a moat against Aggregators and AI.
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OpenAI Buys TBPN, Tech and the Token Tsunami
OpenAI’s purchase of TBPN makes no sense, which may be par for the course for OpenAI. Then, AI is breaking stuff, starting with tech services.
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Apple’s 50 Years of Integration
Apple has survived 50 years by being the only company integrating hardware and software; if the company loses because of AI it will be because the point of integration changes.
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Agents Over Bubbles
Agents are fundamentally changing the shape of demand for compute, both in terms of how they work and in terms of who will use them. They’re so compelling that I no longer believe we’re in a bubble.
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Copilot Cowork, Anthropic’s Integration, Microsoft’s New Bundle
Microsoft is seeking to commoditize its complements, but Anthropic has a point of integration of their own; it’s good enough that Microsoft is making a new bundle on top of it.
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Anthropic’s Skyrocketing Revenue, A Contract Compromise?, Nvidia Earnings
Anthropic’s enterprise business is reaching escape velocity, which increases the importance of finding a compromise with the government. Then, agents dramatically increase demand for Nvidia chips, even if they threaten software.
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Shopify Earnings, Shopify’s AI Advantages
Shopify is poised to be one of the biggest winners from AI; it would behoove investors to actually understand the businesses they are selling.





