It's demotivating to think that:
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It's demotivating to think that:
- LLMs aren't good at producing original / novel work
- You still need experts to advance that stuff
- It will always be slower to move without using LLMs
- Once an innovation is done though, an innovation can always be scooped up by the LLM users
- "Bro why are you doing all this manually, I just vibe coded that in a weekend"Will it always be this way? It's depressing in the meanwhile, at least.
@cwebber yeah but programming was always about solving problems anyways. If we take what you say about LLMs here as like the reality of how they are used and worked or whatever. Then the thing to think here is that what is unravelled is that for the most part of the last 20 years these guys were just solving problems other people already solved over and over. -
@cwebber yeah but programming was always about solving problems anyways. If we take what you say about LLMs here as like the reality of how they are used and worked or whatever. Then the thing to think here is that what is unravelled is that for the most part of the last 20 years these guys were just solving problems other people already solved over and over.@cwebber and if that is true then that isn't good either.
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@cwebber @spritely This is similar to the problem I have making video games: Some portion of my audience will pirate my work. Technically that doesn't harm me, *but* if *everyone* pirates the game then I don't get any money and I don't get to keep making games. I decide I don't care because not everyone pirates games and *some* of the people playing the game will pay for it. LLMs, for code, sets up the possibility the entire audience will be pirating the work. Which is wild since my code is MIT
@cwebber @spritely This said, I want to give you the flipside to the process you're describing: I am currently creating a small programming language which exists for no purpose except for me to make games for the Game Boy and NES. When I look at my language, I think: *An LLM user could not use this language, because there is not a sufficient corpus to generate code from¹*. And this sparks joy in me
¹ And a significant portion of the corpus is testcases designed to fail
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In a sense, the decision is somewhat made for us in that we're developing next-generation stuff that LLMs don't know how to auto-code at @spritely. We are working on core infrastructure that needs to be carefully thought about and written. LLMs introduce a lot of errors and aren't good at doing this kind of work on their own.
And the goal was always that our work is there to be lifted from, to spread outward, the way people have long drawn from the well of the MIT / Stanford research labs in CS for decades, but for decentralized networking today
But doing it now, in this way, in this environment, it's just really depressing and demotivating.
@cwebber @spritely once the honeymoon period is over and the folks who keep getting rm'ed get louder and more often complain than the success stories gush, the scale will tip.
people have realised cloud was way riskier and more expensive and have started brining stuff in house again, the same will happen with llms.
itll just take a critical mass, like anything else.
and the llm horror stories are piling up
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It's demotivating to think that:
- LLMs aren't good at producing original / novel work
- You still need experts to advance that stuff
- It will always be slower to move without using LLMs
- Once an innovation is done though, an innovation can always be scooped up by the LLM users
- "Bro why are you doing all this manually, I just vibe coded that in a weekend"Will it always be this way? It's depressing in the meanwhile, at least.
@cwebber LLM users are the same people who walk through modern art galleries saying "my kid could do that"
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