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> More code than you could ever write in ten lifetimes, uploaded to your repository in a matter of days

I wonder if any of you AI boosters have any actual knowledge of how software is written, why bugs exist and how to mitigate tech debt. I wonder if you guys even know what tech debt is.

Somehow it’s always very young accounts which made me wonder if I’m talking to exuberant teenagers or people that have done a one week Python code camp 10 years ago and now think they’re John Carmack with their Claude subscription.

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Every idea can seem quite nice if you only imagine the good parts, gloss over the nitty-gritty and ignore the bad.
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Is your point that Anthropic is now accepting code submissions to Opus 5.0 from “millions of contributors”? No?

Ladybird uses AI to code. This is not them banning AI. This is them not wanting to take responsibility for the code WE write with AI. They think outside code contributions are raising their risk and slowing them down.

I dislike this change but it does not track to what you are saying at all.

Like always with Open Source, if you really believe what you are saying, fork the project. Outrun them if you can.

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> open your repo to the public, and have a stream of code flow in from millions of contributors. More code than you could ever write in ten lifetimes, uploaded to your repository in a matter of days.

why would you want this. this sounds terrible

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It would be free labour! Truly crowd-funded development.

I'm picturing something like folding@home, but where people donate their spare tokens to a service, and those tokens get distributed amongst all open source projects on GitHub. You don't think that would be cool? Like, someone might initialise a repo with only a readme and a to do list before they go to sleep, and then wake up to a complete software ecosystem that looks as if it's been in development since before they were born. Like, so much code that no one person could possibly understand it, and it all happened overnight while they were sleeping!

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Just donate your tokens to the project. The actual team that’s actually leading the project can direct the prompts better and evaluate the LLM-generated code better for their project than random drive-by contributors can. That’s the whole point of their announcement.
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