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Great read. On the subject of whether ChatGPT could in fact deliver search results that are accurate (possibly using something like Google Scholar/ Metaweb/other tools as you suggest) it seems the jury is very much still out, or at least this is an area that needs considerable focus and investment if we are going to get beyond the limitations of deep learning models to truly understand our intentions and deliver accurate answers . If you haven’t listened to it yet, I urge you to listen to Gary Marcus on the Ezra Klein podcast, where he enumerates how far we still have to go: https://www.nytimes.com/2023/01/06/opinion/ezra-klein-podcast-gary-marcus.html?smid=nytcore-ios-share&referringSource=articleShare

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Such great musings. We are at the limits of advertising, right? So there has to be some thinking at Google about the real profit pools of LLMs. I've been observing and thinking about the combination of Med-PaLM from DeepMind https://arxiv.org/pdf/2212.13138.pdf and Verily's recent deal with SwissRe to play in the re-insurance space - which would mean in health they will be incentivized to lower the cost of care. Combine the two and there is a business model there. "Other Bets" may deliver after all.

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