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Once AI improves its cost/error ratio enough the systems you are suggesting for humans will work here also. Maybe Claude/OpenAI will be pair programming and Gem

• embedding-shape 11mo ago
  Also once people stop cargo-culting $trendy_dev_pattern it'll get less impactful. Every time something new the same thing happen, people start exploring by putting it absolutely everywhere, no matter what makes sense. Add in huge amount of cash VCs don't know what to spend it on, and you end up with solutions galore but none of them solving any real problems. Microservices is a good example of previous $trendy_dev_pattern that is now cooling down, and people are starting to at least ask the question "Do we need microservices here actually?" before design and implementation, something that has been lacking since it became a trendy thing. I'm sure the same will happen with LLMs eventually.
• sarchertech 11mo ago
  For that to work the error rate would have to be very low. Potentially lower than is fundamentally possible with the architecture. And you’d have to assume that the errors LLMs make are random and independent.
• amelius 11mo ago
  > Once AI improves That's exactly the problematic mentality. Putting everything in a black box and then saying "problem solved; oh it didn't work? well maybe in the future when we have more training data!" We're suffering from black-box disease and it's an epidemic.
  • PunchyHamster 11mo ago
    The training data: Entirety of internet and every single book we could put our hands on "Surely we can just somehow give it more and it will be better!"
• butlike 11mo ago
  As I get older I'm realizing a lot of things in this world don't get better. Some do, to be fair, but some don't.
• player1234 11mo ago
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