@[email protected] Oh fuck off. Why the fuck should we use these bullshit generators only to have to fine toothcomb the garbage they produce? #FuckAI
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@joachim: You have every right to not use LLMs. Personally, I find them a great help for improving my productivity. Every person has its own reasons for using or not using generative AI. Nevertheless, I'm afraid that this technology - like many other productivity-increasing technologies - will become a matter of fact in our daily lifes. The issue here is how best to adapt it to our own advantage.Open-source LLMs should be preferred, of course. But I don't think that mere stubbornness is a very good strategy to deal with new technology.
"If we don’t use AI, we might be replaced by someone who will. What company would prefer a tech writer who fixes 5 bugs by hand to one who fixes 25 bugs using AI in the same timeframe, with a “good enough” quality level? We’ve already seen how DeepSeek AI, considered on par with ChatGPT’s quality, almost displaced more expensive models overnight due to the dramatically reduced cost. What company wouldn’t jump at this chance if the cost per doc bug could be reduced from $20 to $1 through AI? Doing tasks more manually might be a matter of intellectual pride, but we’ll be extinct unless we evolve."
https://idratherbewriting.com/blog/recursive-self-improvement-complex-tasks
@[email protected] Climate change, you fuckhead.
@[email protected] Just because Silicon Valley companies over-engineer their models, that doesn't mean it must be necessarily so... Look at DeepSeek: https://github.com/deepseek-ai/open-infra-index/blob/main/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview.md
Thanks for this thoughtful and nuanced opinion.
I agree. Augmented productivity with LLMs is the future, and to fight it makes us no different than those who fought every technological advance before us.