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Nvidia falls 14% in premarket trading as China's DeepSeek triggers global tech sell-off (www.cnbc.com)
submitted 2 years ago by to c/technology@lemmy.world
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cross-posted from: https://lemm.ee/post/53805638

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[–] 1 point 2 years ago (2 children)

Yes, I have tested that use case multiple times. It performs well enough.

A calculator also isn’t much help, if the person operating it fucks up. Maybe the problem in your scenario isn’t the AI.

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  • [–] 0 points 2 years ago (1 child)

    As you're being unkind all the time, let me be unkind as well :)

    A calculator also isn’t much help, if the person operating it fucks up. Maybe the problem in your scenario isn’t the AI.

    If you can effectively use AI for your problems, maybe they're too repetitive, and actually just dumb boilerplate.

    I rather like to solve problems that require actual intelligence (e.g. do research, solve math problems, think about software architecture, solve problems efficiently), and don't even want to deal with problems that require me to write a lot of repetitive code, which AI may be (and often is not) of help with.

    I have yet to see efficient generated Rust code that autovectorizes well, without a lot of allocs etc. I always get triggered by the insanely bad code-quality of the AI that just doesn't even really understand what allocations are... Arghh I could go on...

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  • [–] 1 point 2 years ago

    I think you’re severely underestimating the amount of white collar work that is just boiler plate, and understating how well AI can quickly produce a workable first draft. Or maybe you just aren’t writing good prompts.

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