Maybe some devs here can help me, I was recently promoted to “head of AI” at my work despite being very outwardly ambivalent towards it. So I’m struggling to figure out what would actually create value instead of just being an expensive waste of time but still satisfy the higher ups AI lust.

My first idea that I thought would actually be useful was just setting up the architecture for an actual analytics database for us and then let them explore it with metabase (then letting them use Claude for their wow factor of exploring it with AI or whatever).

But now I’m somewhat at a loss, so any insight you all have would be really helpful!

  • Senal@programming.devEnglish
    1·
    17 hours ago

    Personally I see LLMs as a tool like any other. You can use it to mass produce low quality slop, just as you can use it to help you produce a higher quality output.

    I agree with this in principle, but I’d argue that it’s more like an industrial table saw than a hand saw.

    Meaning the potential for damage is much greater with this particular tool (for various reasons) which means that it need proper training and experience, safeguards, maintenance and fail-safes to be used effectively (without doing yourself or others damage).

    The potential damage of using this tool is a bit less immediate and obvious than an industrial table saw however, which means you should be extra careful.