this post was submitted on 30 Jun 2025
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TechTakes
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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LLMs have their flaws, but to claim they are wrong 70% of the time is just hate train bullshit.
Sounds like you base this info on models like GPT3. Have you tried any newer model?
There are days when 70% error rate seems low-balling it, it's mostly a luck of the draw thing. And be it 10% or 90%, it's not really automation if a human has to be double-triple checking the output 100% of the time.
(source)
Frankly surprised to see something this funny on LinkedIn.
afaik the meme format didn't start there, but otherwise agreed
I have a Kubernetes cluster running my AI agents for me so I don't have to learn how to set up AI agents. The AI agents are running my Kubernetes cluster so that I don't have to learn Kubernetes either. I'm paid $250k a year to lie to myself and others that I'm making a positive contribution to society. I don't even know what OS I'm running and at this point I'm afraid to ask.
it can’t be that stupid, you must be using yesterday’s model
ah, yes, i'm certain the reason the slop generator is generating slop is because we haven't gone to eggplant emoji dot indian ocean and downloaded Mistral-Deepseek-MMAcevedo_13.5B_Refined_final2_(copy). i'm certain this model, unlike literally every past model in the past several years, will definitely overcome the basic and obvious structural flaws in trying to build a knowledge engine on top of a stochastic text prediction algorithm
common mistake, everyone knows you need
Mistral-Deepseek-MMAcevedo_13.5B_Refined_final2_(copy)_OPEN(leak)
- the other one was a corporate misdirection attempt