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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Atlassian Buys The Browser Company, Browser Wars, Why Atlassian
Atlassian bought The Browser Company, seeking to deliver an AI-enabled browser for work. It’s a reasonable bet, but I’m skeptical that browsers are the future.
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Made by Google 2025, AI Trade-offs, Google and the Long-Term
Google’s latest Pixel event re-imagined launch events; it was appropriate given that Google is truly re-imagining the smartphone.
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Nvidia Earnings, Moats and China, Nvidia vs. the AI Labs
Nvidia’s earning continue to be governed by supply — and reasoning models make that even more the case. Plus, why Nvidia is so desperate to get back into China.
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U.S. Intel
The U.S. taking an equity stake in Intel is a terrible idea; it also happens to be the least bad idea to make Intel Foundry viable.
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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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China AI Chips, A China Chip Control Framework, Whither HBM
President’s Trump plan for the U.S. to get paid by Nvidia and AMD for China exports is dubious, but overall policy is headed in the right direction.
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Paradigm Shifts and the Winner’s Curse
When paradigms change, previous winners have the hardest time adjusting; that is why AI might be a challenge for Apple and Amazon