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  1. Nov 2024
    1. That development time acceleration of 4 days down to 20 minutes… that’s equivalent to about 10 years of Moore’s Law cycles. That is, using generative AI like this is equivalent to computers getting 10 years better overnight. That was a real eye-opening framing for me. AI isn’t magical, it’s not sentient, it’s not the end of the world nor our saviour; we don’t need to endlessly debate “intelligence” or “reasoning.” It’s just that… computers got 10 years better.

      To [[Matt Webb]] the project using GPT3 extracting data from web pages saved him 4d of work (compared to 20 mins coding up the GPT-3 instructions, and ignoring GPT-3 then ran overnight). Saying that's about 10yrs of Moore's law happening to him all at once. 'computers got 10yrs better' an enticing thought and framing. It depends on the use case probably, others will lose 10 yrs of their time making sense of generated nonsense. (Vgl the #pke24 experiments I did w text generation, none of it was usable bc enough was wrong to not be able to trust anything). Sticking to specific niches probably true : [[Waar AI al redelijk goed in is 20201226155259]], turning the issue into the time needed to spot those niches for yourself.

    2. I was one of the first people to use gen-AI for data extraction instead of chatbots

      [[Matt Webb]] used gpt-3 in Feb 23 to extract data from a bunch of webpages. Suggests it's the kernel for programmatic AI idea among SV hackers. Vgl Google AI [[Ed Parsons]] at [[Open Geodag 20241107100937^aiunstructdata]] last week where he mentioned using AI to turn unstructured (geo) data into structured. Page found via [[Frank Meeuwsen]] https://frankmeeuwsen.com/2024/11/11/vertragen-en-verdiepen.html