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vaughn tan

@vt

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@vt
building and using /AI systems well requires so much meaning-making — i.e., subjective decision-making requiring judgment, taste, discernment — but we aren't teaching builders/users/policymakers to be good meaning-makers. more on meaning-making in AI: https://uncertaintymindset.substack.com/p/ai-meaningmaking
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you can't build or use AI systems effectively without meaning-making (= making subjective decisions) but AI discourse isn't talking about it. (meaning-making /= generating outputs.) here's a diag illustrating how meaning-making fits into AI. read more here: https://uncertaintymindset.substack.com/p/ai-meaningmaking
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i wrote about subjective meaning-making and why it is an invisible but essential component of /AI systems and how we use them: https://uncertaintymindset.substack.com/p/ai-meaningmaking
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one of the weird (but maybe cool?) things about france which would not be true in the US or the UK is that you can walk up to the neighbourhood tax authority office 2 days before the filing deadline and be able to talk at length to an actual person who has some discretionary capacity and ability to answer questions.
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the anaerobics craze in specialty is kinda horrifying after the initial novelty wears off
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burlat from villeneuve
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2006 — and no sulphur ❤️
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the water from boiling fully prepped artichokes is totally wild
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brancusi at the pompidou
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✨
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⚡
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Organizational firefighting is the worst. Ending firefighting requires avoiding conventional management “best practices” that make teams fragile in uncertainty — I explain how to do this, focusing on staffing, R&D, and goalsetting. https://uncertaintymindset.substack.com/p/endfirefighting
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there is a lot of corduroy in mid-dark brown going on in paris rn and white sneakers of the club c general format
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