this post was submitted on 25 Jun 2024
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[–] [email protected] 0 points 4 months ago (1 children)

Why are you explicitly picking those examples, and not things like IoT, DevOps and Edge computing, all buzzwords, all successful and still in general existence today?

You’re cherry picking failed buzzwords and using them as proof that “AI” will fail.

To be clear, I agree that LLMs are bullshit for 95% of applications they are being put into. But at least argue in good faith.

[–] dinckelman 3 points 4 months ago (1 children)

I chose those examples, because that's what's been heavily marketed recently, and it all either fundamentally failed, ended up being a scam, or both.

In contrast:

  • devops is software automation practices...?
  • edge computing is on-call load balancing? It's horrendously expensive though, so i'll give them time to figure it out
  • IoT, admittedly, is largely oversold, but even then, there were a ton of products on the market that absolutely outlived all 3 of the examples i've given, combined. HomeAssistant+Zigbee home automation is awesome. A raspberryPi is "iot". Your smartwatch is "iot".

There's a difference between cherry-picking, and refusing to accept that something is a scam. Crypto ended up begging for government regulation, when the original intention was to move away from it. NFTs are a pump-and-dump ponzi scheme. web3 literally doesn't mean anything

[–] [email protected] 1 points 4 months ago (1 children)

LLMs aren’t a scam, I don’t even understand how you could twist it into such. While something like NFTs have no real legitimate use case, LLMs excel at translation and as an advanced form of spelling and grammar checking.

Your complaint seems to boil down to “it doesn’t work in all use cases it’s being used” which is fair enough, but if I put a car on my bed and try to use it as a blanket… does that make it a scam?

[–] dinckelman 1 points 4 months ago

We literally agree with each other, and yet you're still arguing. The reason why it's a scam, is because people sell it like some kind of a godsend, when it's literally not used in the way it is intended to be used. When it is, that's great. When it's trained properly, that's even better. But that's not the reality