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this post was submitted on 03 Aug 2026
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I don’t know about going that far - LLMs can be a great starting point …. As long as you click through to the sources rather than blindly accept
Creating science Youtube videos is not more important than maintaining a livable planet. AI is unnecessary and harmful, and should not be used outside of certain brute-force type of applications like protein folding, simulating new drug structures, or preliminary cancer diagnosis.
Golf courses use 30x the water that data centers use. Lawns, 100x. Standby mode for appliances costs more energy, by a lot. I wonder how much carbon emissions are offset by people no longer driving to work at call centers and the like.
Out of curiosity do you eat meat? .2% of water is used on data centers. 9.8% is used on beef. For carbon emissions one pound of beef consumed is equivalent to about 640,000 prompts.
AI is an environmental concern but the way people act about it is straight up ridiculous.
Edit: I am very proud of all of the vegans who unplug their appliances who are downvoting me. I, too, am a vegan who unplugs their appliances.
I don't have a golf course or a membership so
thanks for that irrelevant factoid
and yes I am vegan, but eating meat is, in many cases, a culturally ingrained practice which people need time to understand the harms of. AI is not culturally ingrained for anyone with an actual culture. People need to eat - it shouldn't be meat, but I'm not going to shame people for not seeing their harm yet. People do not need to generate slop. I am going to bully all AI users.
Do you think AI is mostly generating slop? Only like 5% of AI use is private individuals.
The point is that this is not actually an ecological hazard the way people say it is, and that there are much, much more pressing issues if we're going to fix the environment. Literally all we would have to do to solve global warming is stop eating meat. You see anywhere near as much about that as you do datacenters? Which cause less than one percent of the environmental issues of meat?
I know all AI is an ecological hazard and none of its use cases aside from very narrow medical and scientific applications justify using it at all.
People have been eating meat longer than humans have had languages. Your whataboutism is boring and irrelevant. Just because there are other, larger, necessary steps to take doesn't mean we need to act as unpaid apologists for technocultists shooting our species in the foot while we try to get there. Fuck your AI.
Just in defence of your point:
I prefer to self host, and am in the process of setting up my entire system to run off solar (tiny 2x250 watt solar array, 3 deep cycle 100Ah marine batteries and sundry equipment).
End to end, my AI rig - a BC-250 (a cut down PS5, basically) consumes 50w standby / 200w on inference and can run Qwen 3.6-27b (Ternary Bonsai specifically, about par with Sonnet 4.6 on the AAII) at good speeds (~30 tok/s)
With a smart power plug and Raspberry pi (uses about 5w) as the pilot fish, I can run my entire system "off grid", to say nothing of the excess solar that accumulates (several days battery back up to run home router, pi server, hard drive array and 2-3hrs daily of inference).
For $1500 AUD, "Poor man's Sonnet 4.6 at home" ain't nothing to sneeze at.
Outside of folks such as myself, this blog post may be of interest -
https://blog.andymasley.com/p/individual-ai-use-is-not-bad-for
seems likes barely useful outside of medical field too. in that article/study, they had to use alot of scans from different people, and doctors reviews to even get a "diagnosis", seems like a fluke they even found the "surprise cancer". i dont think patients/ people are ready to let an AI diagnose people, on off chance it makes a fake diagnosis,. which is why we barely hear stem use of it.
The fact that people think LLMs should be trusted as a starting point is heartbreaking to me.
But why? If you try to be objective, how is this any different from an op Ed or other published article? Those are good starting points as well, but also shouldn’t be published as your work or trusted as is.
The problem with LLMs is not when people use them as a tool, but when they use inappropriately, blindly trust them or treat them as a final result instead of thinking, reviewing, or adding value.
An article has context. Who published it? What else has the author written? Llm articles strip that all out.
I can’t speak for all LLMs but the ones I use
And yes, I frequently check its work and iterate through telling it to
no its true. ChatGPT is confidently wrong all the time, but I find its wrong in ways I can learn from anyway. I ask the question. it gets the answer wrong. But its wrong in a useful way where I actually learn more by correcting it than just getting the right answer.
I could get the same experience from talking to a person for much less money though
They tend to work much better when you point them at things. Hallucination rates go way, way down when they aren't pulling from their "memory." They are, also, like you say, wrong in ways that are noticeable and often "interesting" in the Ibsen way. I also doubt that you could get the same experience for less money. I'd have to go back to college to get the education I'm getting with AI. At least community college. It's a lot of near-experts at once. And when you point it at expert literature it basically is a senile college professor. But yeah the senile part of that statement is pretty important.