Sam Altman looks like an SNL actor impersonating Sam Altman.
“Herr derr, AI. No, seriously.”
But it also could be lower, right?
Unlikely. 5 is just all of OpenAIs previous models in a trenchcoat.
Not really, if it were they would be announcing their new highly efficient model.
All the people here chastising LLMs for resource wastage, I swear to god if you aren’t vegan…
I mean, they’re both bad.
But also, “Throw that burger in the trash I’m not eating it” and “Uninstall that plugin, I’m not querying it” have about the same impact on your gross carbon emissions.
These are supply side problems in industries that receive enormous state subsides. Hell, the single biggest improvement to our agriculture policy was when China stopped importing US pork products. So, uh… once again, thank you China for saving the planet.
Wait so the biggest improvement came when there was a massive decline in demand?
The Demand didn’t decline. The state imposed a strict high barrier to trade that prevented it from being fulfilled.
So you did not export that much to China or was there a big “eat more pork” campaign because else where did the demand come from afterwards?
What a stupid take.
What is it with vegans and comparing literally everything to veganism? I was in another thread and it was compared to genocide, rape, and climate change all in the same thread. Insanity
probably because the animal death industry is comparable to those things
Death Industry sounds like it would be an awesome band name.
true lol
It’s not, you’re just personally insulted. The livestock industry is responsible for about 15% of human caused greenhouse gas emissions. That’s not negligible.
you’re just personally insulted.
I swear to God this attitude is why people don’t like what you’re saying. I am all for weighing the two against each other but the “I am more moral than thou” is why I left the church.
So, I can’t complain about any part of the remaining 85% if I’m not vegan? That’s so fucking stupid. Do you not complain about microplastics because you’re guilty of using devices with plastic in them to type your message?
Yes, I’m a piece of shit for using a phone made by a capitalist corporation and contributes to harming the planet. I don’t deny that I live in a horrible society that forces me to be a bad human just to survive.
I also don’t call people stupid for telling me my device is bad for the environment. I still eat meat, I’m not a vegan, but I understand and completely agree that it’s terrible for the environment. By recognizing it, I can be conscious of my consumption and reduce it.
I also use LLMs conservatively, I use them where they add value and I don’t use them frivolously to generate shitty AI slop.
I’m conscious of its dangers and that drives my consumption of it.
But I don’t pick and choose. I don’t eat animal products three meals a day and bitch about someone using an LLM to edit a file instead of manually working on it for five hours.
Just be consistent is the message they were communicating, not that you shouldn’t complain about 85%.
Same, I’m very aware that my selfish actions cause harm to the environment and I do try to be conservative about meat, electricity, and water usage. I don’t even own a car.
But “I swear to God, if you aren’t vegan,” which is what OP said, is hardly the same as “keep it consistent.” It feels like they’re telling us both that our efforts are pointless because we aren’t vegan. They could have said, try cutting meat from your diet to help more, or give veganism a thought. It comes off as insufferably arrogant, you know?
I’ll end my rant now, haha. Sorry.
They were trying to be funny, don’t be too literal.
I think (that’s how I interrupted it, I don’t know) the intent was to reflect the insufferably arrogant tone of most people who exclusively complain about AI as if it has no benefits and will be the sole destroyer of our society.
Were they though? If that was sarcasm I really don’t think it translated well into text at all.
Imagining complaining about someone tipping out fresh water, while eating a burger when a single kilo of beef uses between 15,000 to 200,000 liters.
Like, until you stop doing the worst thing a single consumer can do to the planet for literally nothing but greed and pleasure (eating meat instead of healthier alternatives), you have no leg to criticize.
Whataboutism isn’t useful. Nobody is living the perfect life. Every improvement we can make towards a more sustainable way of living is good. Everyone needs to start somewhere and even if they never move to make more changes at least they made the one.
1 beef burger is equivalent in water consumption to 7.5million chatgpt queries.
I did a quick calculation and got to around 500 queries per quarter pounder. Lot of guesstimation and rounding though, but I’m pretty sure I got close enough to know that you’re off by quite a lot.
Edit to add: I used 21.9kg CO2 per 1kg of beef and 4.32 grams per ChatGPT query for my rough estimate.
However that 4.32 number is already over a year old. Chances are it’s way outdated but everyone still keeps on quoting it. It definitely does not take into account that ChatGPT often “thinks” now, because chain of thought is likely as expensive as multiple queries by itself. Additionally the models are more advanced than a year ago, but also more costly and that CO2 amount everyone keeps quoting doesn’t even mention which model they used. If anyone can find the original source of this number I’d be very curious.
The CO2 calculation is also useful and interesting, but they did say “water consumption”
Fair.
Water use comes out to about 150.000 chatGPT queries per quarter pounder. Using 10ml per prompt and 15.000l per kg of beef.
Still off by many orders of magnitude.
Also that’s just the running costs. If we go into training we’re looking at a comparison the other way around. Training GPT-3 cost 700.000 liters of water. So that’s 466.6 quarter pounders.
Animal agriculture has significantly better utility and scaling than LLMs. So, its not hypocritical to be opposed to the latter but not the former.
The holocaust was well scaled too. Animal ag is responsible for 15-20% of the entire planets GHG emissions. You can live a healthier, more morally consistent life if you give up meat.
Do you know what I mean by “scaling”? Because going by your reply, you don’t.
Dude, wtf?! You can’t just go around pointing out peoples hypocrisy. Companies killing the planet is big bad.
People joining in? Dude just let us live!! It is only animals…
big /s
When will genAI be so good, it’ll solve its own energy crisis?
Most certainly it won’t happen until after AI has developed a self-preservation bias. It’s too bad the solution is turning off the AI.
Current genAI? Never. There’s at least one breakthrough needed to build something capable of actual thinking.
Sam Altman has gone into PR and hype overdrive lately. He is practically everywhere trying to distract the media from seeing the truth about LLM. GPT-5 has basically proved that we’ve hit a wall and the belief that LLM will just scale linearly with amount of training data is false. He knows AI bubble is bursting and he is scared.
Bingo. If you routinely use LLM’s/AI you’ve recently seen it first hand. ALL of them have become noticeably worse over the past few months. Even if simply using it as a basic tool, it’s worse. Claude for all the praise it receives has also gotten worse. I’ve noticed it starting to forget context or constantly contradicting itself. even Claude Code.
The release of GPT5 is proof in the pudding that a wall has been hit and the bubble is bursting. There’s nothing left to train on and all the LLM’s have been consuming each others waste as a result. I’ve talked about it on here several times already due to my work but companies are also seeing this. They’re scrambling to undo the fuck up of using AI to build their stuff, None of what they used it to build scales. None of it. And you go on Linkedin and see all the techbros desperately trying to hype the mounds of shit that remain.
I don’t know what’s next for AI but this current generation of it is dying. It didn’t work.
Any studies about this “getting worse” or just anecdotes? I do routinely use them and I feel they are getting better (my workplace uses Google suite so I have access to gemini). Just last week it helped me debug an ipv6 ra problem that I couldn’t crack, and I learned a few useful commands on the way.
I was initially impressed by the ‘reasoning’ features of LLMs, but most recently ChatGPT gave me a response to a question in which it stated five or six possible answers sparated by “oh, but that can’t be right, so it must be…”, and none of them was right lmao. Thought for like 30 seconds to give me a selection of wrong answers!
He’s also already admitted that they’re out of training data. If you’ve wondered why a lot more websites will run some sort of verification when you connect, it’s because there’s a desperate scramble to get more training data.
MS already released, thier AI doesnt make money at all, in fact its costing too much. of course hes freaking out.
It’s the same tech. It would have to be bigger or chew through “reasoning” tokens to beat benchmarks. So yeah, of course it is.
deleted by creator
So like, is this whole AI bubble being funded directly by the fossil fuel industry or something? Because the AI training and the instantaneous global adoption of them is using energy like it’s going out of style. Which fossil fuels actually are (going out of style, and being used to power these data centers). Could there be a link? Gotta find a way to burn all the rest of the oil and gas we can get out of the ground before laws make it illegal. Makes sense, in their traditional who gives a fuck about the climate and environment sort of way, doesn’t it?
I mean, AI is using like 1-2% of human energy and that’s fucking wild.
My take away is we need more clean energy generation. Good things we’ve got countries like China leading the way in nuclear and renewables!!
Yes, China is producing a lot of solar panels (a good thing!) but the percentage of renewables is actually going down. They are adding coal faster than solar.
Do you have a source for that? Because given a chatgpt query takes a similar amount of energy to running a hair dryer for a few seconds i find it hard to believe.
a similar amount of energy to running a hair dryer
We see a lot of those kinds of comparisons. Thing is, you run a hair dryer once per day at most. Or it’s compared to a google search, often. Again, most people will do a handful of searches each day. A ChatGPT conversation can be hundreds of messages back and forth. A Claude Code session can go for hours and involve millions of tokens. An individual AI inference might be pretty tame but the quantity of them is another level.
If it was so efficient then they wouldn’t be building Manhatten-sized datacenters.
ok, but running a hairdryer for 5 minutes is well up into the hundreds of queries which is more than the vast majority of people will use in a week. The post I replied to was talking about it being 1-2% of energy usage, so that includes transport, heating and heavy industry. It just doesnt pass the smell test to me that something where a weeks worth of usage is exceeded by a person drying their hair once is comparable with such vast users of energy.
All I know is that I’m getting real tired of this Matrix / Idiocracy Mash-up Movie we’re living in.
its like crypto, they wanted to make money of VC funds, and thats probably running dry right now, and the investors are probably going to demand returns very soon. why do you think the massive layoffs started in 2023.
is there any picture of the guy without his hand up like that?
He looks like an old Chuck E Cheese animatronic. Like someone powered him down and he returned to default rest/storage mode.
those are his lying/making up hand gestures. its the same thing trump does with his hands when hes lying or exaggerating, he does the wierd accordian hands.
So there are no pictures without the hands, got it.
Photographer1: Sam, could you give us a goofier face?
*click* *click*
Photographer2: Goofier!!
*click* *click* *click* *click*
Looks like he’s going to eat his microphone
He looks like someone in a cult. Wide open eyes, thousand yard stare, not mentally in the same universe as the rest of the world.
i really hate this cunt’s face.
I have to test it with Copilot for work. So far, in my experience its “enhanced capabilities” mostly involve doing things I didn’t ask it to do extremely quickly. For example, it massively fucked up the CSS in an experimental project when I instructed it to extract a React element into its own file.
That’s literally all I wanted it to do, yet it took it upon itself to make all sorts of changes to styling for the entire application. I ended up reverting all of its changes and extracting the element myself.
Suffice to say, I will not be recommending GPT 5 going forward.
Sounds like you forgot to instruct it to do a good job.
“If you do anything else then what i asked your mother dies”
I’ve tried threats in prompt files, with results that are… OK. Honestly, I can’t tell if they made a difference or not.
The only thing I’ve found that consistently works is writing good old fashioned scripts to look for common errors by LLMs and then have them run those scripts after every action so they can somewhat clean up after themselves.
We moved to m365 and were encouraged to try new elements. I gave copilot an excel sheet, told it to add 5% to each percent in column B and not to go over 100%. It spat out jumbled up data all reading 6000%.
That’s my problem with “AI” in general. It’s seemingly impossible to “engineer” a complete piece of software when using LLMs in any capacity that isn’t editing a line or two inside singular functions. Too many times I’ve asked GPT/Gemini to make a small change to a file and had to revert the request because it’d take it upon itself to re-engineer the architecture of my entire application.
I make it write entire functions for me, one prompt = one small feature or sometimes one or two functions which are part of a feature, or one refactoring. I make manual edits fast and prompt the next step. It easily does things for me like parsing obscure binary formats or threading new piece of state through the whole application to the levels it’s needed, or doing massive refactorings. Idk why it works so good for me and so bad for other people, maybe it loves me. I only ever used 4.1 and possibly 4o in free mode in Copilot.
Are you using Copilot in agent mode? That’s where it breaks shit. If you’re using it in ask mode with the file you want to edit added to the chat context, then you’re probably going to be fine.
I’m only using it in edits mode, it’s the second of the three modes available.
Yep, that’s also pretty safe.
It’s a lot of people not understanding the kinds of things it can do vs the things it can’t do.
It was like when people tried to search early Google by typing plain language queries (“What is the best restaurant in town?”) and getting bad results. The search engine had limited capabilities and understanding language wasn’t one of them.
If you ask a LLM to write a function to print the sum of two numbers, it can do that with a high success rate. If you ask it to create a new operating system, it will produce hilariously bad results.
You can’t blame the user when the marketing claims it’s replacing entire humans.
It is replacing entire humans. The thing is, it’s replacing the people you should have fired a long time ago
I can blame the user for believing the marketing over their direct experiences.
If you use these tools for any amount of time it’s easy to see that there are some tasks they’re bad at and some that they are good at. You can learn how big of a project they can handle and when you need to break it up into smaller pieces.
I can’t imagine any sane person who lives their life guided by marketing hype instead of direct knowledge and experience.
I can’t imagine any sane person who lives their life guided by marketing hype instead of direct knowledge and experience.
I mean fair enough but also… That makes the vast majority of managers, MBAs, salespeople and “normies” like your grandma and Uncle Bob insane.
Actually questioning stuff that sales people tell you and using critical thinking is a pretty rare skill in this day and age.
That makes the vast majority of managers, MBAs, salespeople and “normies” like your grandma and Uncle Bob insane.
Correct most of these people are insane, the average person is so fucking dumb and insane today its mind numbing.
It’s an issue of scope. People often give the AI too much to handle at once, myself (admittedly) included.
Ai assumes too fucking much. I’d used it to set up a new 3D printer with klipper to save some searching.
Half the shit it pulled down was Marlin-oriented then it had the gall to blame the config it gave me for it like I wrote it.
“motherfucker, listen here…”
Is it this?
what is that? looks funny but idk this
Screenshot from the first matrix movie with pods full of people acting as batteries
so exactly as I guessed, thanks for rhe explanation
Obviously it’s higher. If it was any lower, they would’ve made a huge announcement out of it to prove they’re better than the competition.
I get the distinct impression that most of the focus for GPT5 was making it easier to divert their overflowing volume of queries to less expensive routes.
Unless it wasn’t as low as they wanted it. It’s at least cheap enough to run that they can afford to drop the pricing on the API compared to their older models.
It’s cheaper though, so very likely it’s more efficient somehow.
deleted by creator
The only accessible data come from mistral, most other ai devs are not exactly happy to share the inner workings of their tools.
Important to point out this is really only valid towards Western AI companies. Chinese AI models have mostly been open source with open papers.
I’m thinking otherwise. I think GPT5 is a much smaller model - with some fallback to previous models if required.
Since it’s running on the exact same hardware with a mostly similar algorithm, using less energy would directly mean it’s a “less intense” model, which translates into an inferior quality in American Investor Language (AIL).
And 2025’s investors doesn’t give a flying fuck about energy efficiency.
And they don’t want to disclose the energy efficiency becaaaause … ?
Because the AI industry is a bubble that exists to sell more GPUs and drive fossil fuel demand
Because, uhhh, whoa what’s that? ducks behind the podium
They probably wouldn’t really care how efficient it is, but they certainly would care that the costs are lower.
I’m almost sure they’re keeping that for the Earnings call.
Do they do earnings calls? They’re not public.
probably VC money, the investors going to want some answers.
It also has a very flexible “thinking” nature, which means far far less tokens spent on most peoples responses.
“Just a few more trillion dollars bro, then itll be ready…” Like a junkie.
