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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OpenAI DevDay, OpenAI’s Wrenching Transition, Lonely At the Top
OpenAI DevDay 2024 was yesterday, and it was a stark difference to DevDay 2023. That’s a symptom of the wrenching changes OpenAI is undergoing in the wake of the unexpected success of ChatGPT.
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OpenAI’s New Model, How o1 Works, Scaling Inference
OpenAI’s has a new model called o1; it’s a new approach that solves some of the key limitations of current LLMs — and it solves crossword puzzles.
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Apple and the OpenAI Board, Microsoft and the OpenAI Board
Both Apple and Microsoft are leaving their board observer positions with OpenAI; Apple should have never been there in the first place, while Microsoft is probably focused on escaping regulatory scrutiny.
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Perplexity and Robots.txt, Perplexity’s Defense, Google and Competition
Perplexity is accused of violating robots.txt, which isn’t even a law. It’s actions are also necessary if you ever want competition for Aggregators.
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The Apple-OpenAI “Deal”, Japan and the App Store, Apple’s AI Developer Risk
More on Apple AI, including details about its “deal” with OpenAI, new App Store regulation in Japan, and why Apple needs developers more than ever.
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An Interview with Daniel Gross and Nat Friedman About Apple and AI
An interview with Danial Gross and Nat Friedman about Apple’s impressive WWDC keynote, whether or not we are in a bubble, and the future outlook for AI.
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How Apple Intelligence Works, Apple’s AI Bear Case, The Talk Show Live
Understanding how Apple Intelligence works explains Apple’s advantageous position; then, how Apple might still fall short, and two takeaways from Apple executives speaking to John Gruber
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[FREE] WWDC, Apple Intelligence, Apple Aggregates AI
Apple’s WWDC keynote was extremely impressive: Apple Intelligence is something only Apple could build, and it enhances their platform power such that AI companies like OpenAI have to accept Apple’s terms.
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Apple Intelligence is Right On Time
Apple is expected to announce a range of AI features at WWDC; the company is well placed to benefit from AI: they are not too late, but right on time.