Hes supposed to be a credible source, hes an educator, hes the modern day Bill Nye. It’s very hard to take anything he says as objective truth when his research and fact checking consists of asking an LLM. Considering hallucinations and straight up lies are not only common but not even unexpected for an LLM you can’t believe anything that comes from one nor can you believe anyone who uses one.
I’m going to wait and see how he handles this hurdle before I form any long term opinions. Could be an honest mistake that he learns from and improves for the future.
He didn’t state what his actual process was. People assume that just means firing out a query and no bothering to check it, he said he uses it to summarize sources to see if they are worth reading. I don’t think that’s unreasonable if he still reads them.
Regarding using it to write scripts, I think if you use LLMs to generate something you are good at making and are picky and opinionated about, the review process very quickly makes you skeptical about the output.
Before the response, IP rights and environmental effects of LLMs are completely valid and are a valid reason for opposing them. Don’t just assume someone’s using it out of laziness instead of in an attempt to scale up their own work.
I read a decent number of papers. If you’re looking for something specific, and abstract isn’t enough. If you want to research something specific that’s not the core focus of the paper, you at least need to skim it.
If Hank Greene is understaffed, using AI to prefilter papers isn’t a terrible use of the technology.
Hes supposed to be a credible source, hes an educator, hes the modern day Bill Nye.
There are no credible sources on YouTube. He’s just a guy with a computer and a camera. Youtube is about selling you stuff, people need to accept that.
The beauty of YouTube is that the goals of the company are not necessarily the goals of the content creators.
I’ll take any chance I can get to shout out Nick Zentner. Hes a professor of Geology at Central Washington University and he has been posting full length lectures on YouTube for more than 15 years. He is a comprehensive expert in his field and regularly features experts in related fields to help discuss whatever topic he is on at the time.
I used to use his videos to fall asleep, but I have developed a genuine love of geology and vulcanology that I wouldn’t have known about otherwise.
You can find some older, rare exceptions, but it is impossible to maintain integrity and fulfill the YouTube algorithms.
People think YouTube content is credible because YouTube algorithms give you what you want to hear.
Let me waste 5 minutes reading slop than another 20 min tying to figure out if its a hallucination or just not accurate. 25 minutes that could have been reading a credible accurate source…
Not op, but a search engine is a better starting point than an LLM, because it is a predictable tool, fetching internet resources which can be evaluated on their merits.
The AI presents itself as the actual information.
I see too many people in my daily life saying “the ai summary said…” and it is worse than useless.
I could have always skipped the dewey decimal card catalog and just read the entire library but I’m not mycroft fucking holmes. You don’t have to use a search engine, you can just follow hyperlinks until you find the content you’re looking for.
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.
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 prefer to self host, and am in the process of setting up my entire system to run off solar now (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, though I’m thinking of down sizing) 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 -
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.
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.
web based LLM cites its sources. You can just click
coding LLM tends to have obvious sources (for example if I tell it to use a vendor API to do something, I know there’s API documentation as the source of truth and the script is just like the example I would previously have found on StackOverflow.com).
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.
I like Hank, and this is a shitty article.
That aside he should be facing a revolt.
Hes supposed to be a credible source, hes an educator, hes the modern day Bill Nye. It’s very hard to take anything he says as objective truth when his research and fact checking consists of asking an LLM. Considering hallucinations and straight up lies are not only common but not even unexpected for an LLM you can’t believe anything that comes from one nor can you believe anyone who uses one.
I’m going to wait and see how he handles this hurdle before I form any long term opinions. Could be an honest mistake that he learns from and improves for the future.
I mean this is true of all sources and they should be checked.
He didn’t state what his actual process was. People assume that just means firing out a query and no bothering to check it, he said he uses it to summarize sources to see if they are worth reading. I don’t think that’s unreasonable if he still reads them.
Regarding using it to write scripts, I think if you use LLMs to generate something you are good at making and are picky and opinionated about, the review process very quickly makes you skeptical about the output.
Before the response, IP rights and environmental effects of LLMs are completely valid and are a valid reason for opposing them. Don’t just assume someone’s using it out of laziness instead of in an attempt to scale up their own work.
Papers have an abstract and summary sections SPECIFICALLY for this reason and usually aren’t more than a paragraph; there’s no excuse to use LLM.
I read a decent number of papers. If you’re looking for something specific, and abstract isn’t enough. If you want to research something specific that’s not the core focus of the paper, you at least need to skim it.
If Hank Greene is understaffed, using AI to prefilter papers isn’t a terrible use of the technology.
Addictive behavior often includes being incapable of accurately describing or confronting their usage habits.
I think that’s unreasonable, but that’s just me.
Ok
Facts
It’s not from my understanding he was using AI for semantic search to find paper to research
You know llm sources are just as verifiable as anything else right? All information is imperfect and has to be verified, period.
There are no credible sources on YouTube. He’s just a guy with a computer and a camera. Youtube is about selling you stuff, people need to accept that.
The beauty of YouTube is that the goals of the company are not necessarily the goals of the content creators.
I’ll take any chance I can get to shout out Nick Zentner. Hes a professor of Geology at Central Washington University and he has been posting full length lectures on YouTube for more than 15 years. He is a comprehensive expert in his field and regularly features experts in related fields to help discuss whatever topic he is on at the time.
I used to use his videos to fall asleep, but I have developed a genuine love of geology and vulcanology that I wouldn’t have known about otherwise.
A hyper rational take.
You can find some older, rare exceptions, but it is impossible to maintain integrity and fulfill the YouTube algorithms. People think YouTube content is credible because YouTube algorithms give you what you want to hear.
Great starting point for wasting time maybe.
Let me waste 5 minutes reading slop than another 20 min tying to figure out if its a hallucination or just not accurate. 25 minutes that could have been reading a credible accurate source…
In the scenario, what pointed you towards said credible accurate source? Google?
Not op, but a search engine is a better starting point than an LLM, because it is a predictable tool, fetching internet resources which can be evaluated on their merits.
The AI presents itself as the actual information.
I see too many people in my daily life saying “the ai summary said…” and it is worse than useless.
A page rank based search engine would still require a vetting of results.
Google is mostly AI currated results, it will push approved and sponsored souces.
Google is shit.
Google is a search engine, not a source.
Yes, that was implied.
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
Then you can also just as well skip that extra step and just do it yourself
I could have always skipped the dewey decimal card catalog and just read the entire library but I’m not mycroft fucking holmes. You don’t have to use a search engine, you can just follow hyperlinks until you find the content you’re looking for.
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.
I mean you could say the same thing about YouTube being unnecessary and wasting power.
Yes, I could, and then I’d look very stupid and annoying, so I won’t.
Use of Youtube isn’t spiking fossil fuel consumption to an appreciable extent like AI is.
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?
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 now (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, though I’m thinking of down sizing) 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
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.
Don’t eat beef, the animals I eat would use the stuff no matter what.
If every human ate wild meat, the last calorie of wild animals would be consumed before the end of the first afternoon of the first day.
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
deleted by creator
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.