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Comment on DeepSeek and chip bans have supercharged AI innovation in China.

Practical applications for LLMs such as?

Translation and voice-to-text (and vice versa) applications to name a couple.

Personally, I have been using LLMs to help me code. They are not perfect, occasionally generating nonsense, and some are downright awful (looking at you, VSCode Copilot). But when they get it right, they saved me so much time.

I know LLMs are associated with tech oligarchs currently, but to downright dismiss all LLMs as useless is just unfair.

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Kroxx@lemm.ee ⁨5⁩ ⁨days⁩ ago
Yeah I despise LLMs ( really they are fine what I actually hate is how much it’s getting shoved into things) but I won’t act like they don’t have any use cases. It’s a bit obstinate to act like they have no use.

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CosmoNova@lemmy.world ⁨5⁩ ⁨days⁩ ago
DeepL works pretty good without word salad and it‘s getting better every day. I also don‘t think the Chinese market cares all that much about it.

LLMs will surely remove entry level coders… and some years from now there will be too little senior devs to debug it all. Some see a quick way around a problem, I see a problem in the making.

As for the last part: „Useless“ is what you said, not me. It surely isn‘t as useful as it‘s sold and that writing piece is a prime example for that. The point stands that it‘s sinfully expensive to develop despite what they claim so they need to sell it no matter what it takes. It‘s mainly their incentive and dishonesty I am criticizing.

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lobut@lemmy.ca ⁨5⁩ ⁨days⁩ ago
For coding, I treat it as an overly enthusiastic junior-mid.

It’s also great because I’m learning terraform and I just don’t want to look up the syntax. I just tell it to add something and it’ll do the lookup for me.

It gets it wrong sometimes which is where I need to do the lookup but it definitely has its uses.

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swelter_spark@reddthat.com ⁨4⁩ ⁨days⁩ ago
I use it for translations regularly, and also tts. It works well.

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