ChatGPT
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Deep Research is an AGI product for certain narrow domains; it’s ability to find anything on the Internet will make secret knowledge all the more valuable.
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OpenAI’s developer keynote was exciting, both because AI was exciting, and because OpenAI has the potential to be a meaningful consumer tech company.
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It’s possible that large language models are more like the human brain than we thought, given that it is about prediction; that is why ChatGPT needs its own computer in the form of plug-ins.
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An Interview with Nvidia CEO Jensen Huang About AI’s iPhone Moment
An interview with Nvidia CEO Jensen Huang about the impact of ChatGPT, Nvidia’s new cloud service, and how Nvidia is adapting to new geopolitical and competitive realities.
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More on Google and AI; OpenAI, Integration, and Microsoft
Follow up on AI’s impact on Google, and the weird relationship between OpenAI and Microsoft
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An Interview with Daniel Gross and Nat Friedman about ChatGPT and the Near-Term Future of AI
An interview with Daniel Gross and Nat Friedman about ChatGPT and the near-term future of AI, Apple’s huge opportunity, the importance of bias, and the GPU paradox.
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Lensa and Stable Diffusion, Stable Diffusion and Apple Silicon, Open Questions
More AI developments, first in terms of iPhone apps and Stable Diffusion, and the Apple Silicon optimizations. Then, open questions about the AI market going forward.
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AI Homework
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.


