AI & Machine Learning
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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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The first wave of successful AI implementations will probably look more like the first wave of computing, which was dominated by large-scale enterprise installations that eliminated jobs. Consumer will come later.
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A single AI can never make everyone happy, which is fundamentally threatening to the Aggregator business model; the solution is personalized AI
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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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Oracle Pops, From Databases to AI, Oracle and OpenAI
Oracle’s stock sky-rocketed after reporting massive future performance obligations, mostly from OpenAI. It’s a big risk, but Oracle is uniquely prepared to capitalize.
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ChatGPT 5, Product Trade-Offs, Personality and Model Upgrades
GPT-5 seems fine; the more interesting questions are about the ChatGPT product and OpenAI’s tradeoffs.
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Vibe Coding, Windsurf and Anthropic, ChatGPT Connectors
AI coding is much broader than vibe coding, the dynamics of AI coding, and why OpenAI wants to own everything.
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Claude 4, Anthropic Agents, Human-AI Agents
Anthropic is focused on the agent opportunity, which requires scaffolding; meanwhile, I think there is a huge underserved opportunity in multi-user AI chatbots.