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Microsoft says Copilot will 'finish your code before you finish your coffee' adding fuel to the Windows 11 AI controversy that's still raging (www.techradar.com)
submitted 11 months ago by to c/technology@lemmy.world
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[–] 23 points 11 months ago (7 children)

Oh good. They can show us how it's done by patching open-source projects for example. Right? That way we will see that they are not full of shit.

Where are the patches? They have trained on millions of open-source projects after all. It should be easy. Show us.

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  • [–] 4 points 11 months ago (1 child)

    That's an interesting point, and leads to a reasonable argument that if an AI is trained on a given open source codebase, developers should have free access to use that AI to improve said codebase. I wonder whether future license models might include such clauses.

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  • [+] -6 points 11 months ago (4 children)

    Are you going to spend your tokens on open source projects? Show us how generous you are.

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  • [–] 7 points 11 months ago (3 children)

    I'm not the one trying to prove anything, and I think it's all bullshit. I'm waiting for your proof though. Even with a free open-source black box.

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  • [–] 0 points 11 months ago (2 children)

    What's a free open source black box?

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  • [–] 2 points 11 months ago (1 child)

    Some kind of bad joke that went way over your head. Where are your merge requests?

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  • [–] 0 points 11 months ago*

    At work, the software is not open source.

    I would use it for contributions to open source projects but I do not pay for any AI subscriptions, and I can't use my employee account for copilot enterprise for non-work projects.

    Every week for the last year or so I have been testing various copilot models against customer reported software defects and it's seriously at a point now where with a single prompt Gemini pro 2.5 is solving the entire defect with unit tests. Some need no changes in review and are good to go.

    As an open source maintainer of a large project I have noticed a huge uptick in PRs which has created a larger review workload, I'm almost certain these are due to LLMs. Quality of a typical PR has not decreased since LLMs have become available and I am thus far very glad

    If I were to speculate I'd guess the huge increase in context windows has made the tools viable, models like GPT5 are garbage on any sizable code bases

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