Have you ever found a GitHub project or anything that seemed nice and tempting to install until you dug a bit deeper?

What are some red flags that should detur anyone from installing and running something?

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[–] 1 point 4 months ago (9 children)

Points per sprint, features shipped, test coverage. Defects remain unchanged.

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  • [–] 2 points 4 months ago (8 children)

    Code quality? Maintainability down the line? Numbers for those aspects yet?

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  • [–] 1 point 4 months ago (7 children)

    It's been more than 3 years since we started, and the metrics are stable, slight improvement even but that could be more experience or better models or anything. No apocalypse.

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  • [–] 1 point 4 months ago* (6 children)

    Happy that it's working out for at least a small margin of people. 👍

    There's always the many ethical aspects as well, of course.

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  • [–] 1 point 4 months ago (5 children)

    The ethics are debatable, but there's not turning back, there's plenty of open source models even that do a very decent job, so we will need to learn to deal with the reality. We never hired juniors anyway, but companies that did apparently have stopped, that can't be good.

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  • [–] 1 point 4 months ago (4 children)

    In my opinion, the ethics are clear problems. There are way too many ethical issues for me to even consider using AI right now. I would never have a clear conscience using AI. Using AI as a service responsibly is impossible right now IMO.

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  • [–] 1 point 4 months ago (3 children)

    I don't see it that bad. Specially open source models. Agree to disagree I guess.

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  • [–] 1 point 4 months ago (2 children)

    Open source models aren't really used in AI as a service though, are they?

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  • [–] 1 point 4 months ago (1 child)

    Depends what you consider as a service. Anthropic and OpenAI will only offer their own stuff, but if you go for AWS Bedrock you have plenty of open source ones. Probably similar for Vertex on GCP. God only knows what Microsoft is doing over there.

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