Apple has showed a bunch of cool ideas for generative AI, but much more, it is pointing to most of the big questions and proposing a different answer - that LLMs are commodity infrastructure, not platforms or products.
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How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?
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How do we think about a fundamentally unknown and unknowable risk, when the experts agree only that they have no idea?
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Generative AI means things that were always possible at a small scale now become practical to automate at a massive scale. Sometimes a change in scale is a change in principle.
Read MoreWe’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone, right now? Do Large Language Models become universal tools that can do ‘any’ task, or do we wrap them in single-purpose apps, and build thousands of new companies around that?
Read MoreCan you write laws, or lay down ethical principles, for a technology that will be used in entirely different ways, for different purposes, in different industries? What does that mean if it’s changing entirely every 18 months?
Read MoreTech regulation gets a lot of headlines, and seems like a big deal, but most people in tech don’t seem to care much. It’s boring, and years away, but more fundamentally, it really doesn’t affect what people are working on.
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The Vision Pro is amazing, but like the rest of VR and AR, Apple seems years away from the mass market. And if it gets there, how much will it matter?
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The EU has finally made Apple redesign the App Store, 15 years after we started arguing about it, and no-one is happy with the result. In the next few years there’ll be a lot of shouting and some giant fines, but in the end, nothing much will change.
Read MoreI was on Twitter since 2007, and built a meaningful part of my career on it, and I won’t be posting at all for the foreseeable future.
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