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Artificial intelligence & investors: Caution, not haste as these AI child savants mature

It wasnโ€™t that long ago that AI stock picking engines were all the rage. Because they were trained on historical data, when tested, the outcomes they predicted from any point in the past were rather accurate. But the world continues to change and investors soon learned that historical data is not always the best predictor of future results. Here's my analysis as an investor.
Alex Osadzinski Bill Gates David Gardner Cofounders Capital Startup Monday Large Language Model

Society's Technical Debt and Software's Gutenberg Moment

Abstract There is immense hyperbole about recent developments in artificial intelligence, especially Large Language Models like ChatGPT. And there is also deserved concern about such technologiesโ€™ material impact on jobs. But observers are missing two very important things:
Tim Oreilly Paul Simon Google Meta Marc Andreessen William Baumol Less Complex Software Production Looks Like

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