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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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.
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OpenAI Acquires io, OpenAI’s Strategic Positioning, Apple’s Worsening AI Problem
OpenAI is acquiring io, Jony Ive’s hardware company. Is the company actually focused on displacing Apple? Apple needs to spend big in response.