Gtfo, there is no way llm companies make their money back legitimately and we all know it. No, it’s not “common” for companies to spend tens of billions to build infrastructrure that won’t pay for itself.
Those of us in reality know they will get bailed out by the government in exchange for fucking us even more than already.
The difference being they had a plan to monetize YouTube which offset the operating costs and even could make a profit, in addition to the stuff they over invested in having long term benefits. Aka they roughly could spent a lot to save money later off of what they built.
LLMs are not the same. They cost a shitload of money to run. Actual token based usage without being subsidized by investors would make any LLM cost users so much money that the actual value of it would immediately become major problem. Sure one can, currently, get decent code output by using hundreds or thousands of tokens, or using multiple LLMs / loops, or having agents go burn however many on iteration! But if we paid actual costs this shit would rapidly be shut down.
The AI infrastructure is also not saving money long term. Training is unbelievably expensive. Compute costs are all about gigantic data servers with video cards running, and the economics of all that is way tighter than anyone gives credit for. Those cards last like 3 years. The cooling costs are crazy. You have to have constant use to be efficient. None of these things are able to be covered by AI economics nor does it even make sense to be.
It costs too much, it’s just being covered by your money being pissed away by tech investors for a technology that cannot survive.
In theory costs could come down with each new hardware generation if the we dont keep pushing models the to max extent of what the hardware can do while pushing size.
E.g Claude Opus today, only trained in a similar size and manner as today, will be cheaper to run on whatever the next GPU that comes out with higher speeds and processing capabilities, unless of course NVidia raises the cost substantially. Given the current situation I think nvidia might do that which would hamper this lowering of costs, but it should possible, if not slower.
E.g 10 years from now it will be cheaper to run a opus similar model. But 10 years from now everyone will want the mythos of today, then. That wont be cheaper.
Sure one can, currently, get decent code output by using hundreds or thousands of tokens, or using multiple LLMs / loops, or having agents go burn however many on iteration!
This always stumps me. Because if that was true, Anthropic products (API, Cache, Claude Cowork, Claude Code) would not be shitty.
They are shitty. They are coded shittily, and Anthropic is unable to solve some bugs for years now. E.g. there is the console flickering bug that they tried to fix 3 times and rollbacked or failed all of them.
That is entirely different from llm models. People like youtube, it has utility. Llm models don’t have enough utility to pay for their data centers and we all know it. Why are you simping for them? You believe their hype? That discredits you.
People had the same conversations when YouTube was new and unproven, before it was the household name it is now. Many people thought it would never be profitable and watched them burn billion after billion.
I do think LLMs are overhyped, I’m with you there, but I do think they also provide utility that many use. Is it a bubble that will pop? 100%. But just like the web after the dotcom bubble, it’ll never go away.
Gtfo, there is no way llm companies make their money back legitimately and we all know it. No, it’s not “common” for companies to spend tens of billions to build infrastructrure that won’t pay for itself.
Those of us in reality know they will get bailed out by the government in exchange for fucking us even more than already.
Tell me you don’t know nothing about business without telling me you don’t know nothing about business.
No no stop. I know what you’re thinking. You don’t, relax. Take it easy.
YouTube would lose a billion annually early on as they expanded infrastructure to keep up with massive demand 🤷♀️
They figured it out eventually, all they had to do was enshittify everything.
The difference being they had a plan to monetize YouTube which offset the operating costs and even could make a profit, in addition to the stuff they over invested in having long term benefits. Aka they roughly could spent a lot to save money later off of what they built.
LLMs are not the same. They cost a shitload of money to run. Actual token based usage without being subsidized by investors would make any LLM cost users so much money that the actual value of it would immediately become major problem. Sure one can, currently, get decent code output by using hundreds or thousands of tokens, or using multiple LLMs / loops, or having agents go burn however many on iteration! But if we paid actual costs this shit would rapidly be shut down.
The AI infrastructure is also not saving money long term. Training is unbelievably expensive. Compute costs are all about gigantic data servers with video cards running, and the economics of all that is way tighter than anyone gives credit for. Those cards last like 3 years. The cooling costs are crazy. You have to have constant use to be efficient. None of these things are able to be covered by AI economics nor does it even make sense to be.
It costs too much, it’s just being covered by your money being pissed away by tech investors for a technology that cannot survive.
In theory costs could come down with each new hardware generation if the we dont keep pushing models the to max extent of what the hardware can do while pushing size.
E.g Claude Opus today, only trained in a similar size and manner as today, will be cheaper to run on whatever the next GPU that comes out with higher speeds and processing capabilities, unless of course NVidia raises the cost substantially. Given the current situation I think nvidia might do that which would hamper this lowering of costs, but it should possible, if not slower.
E.g 10 years from now it will be cheaper to run a opus similar model. But 10 years from now everyone will want the mythos of today, then. That wont be cheaper.
This always stumps me. Because if that was true, Anthropic products (API, Cache, Claude Cowork, Claude Code) would not be shitty.
They are shitty. They are coded shittily, and Anthropic is unable to solve some bugs for years now. E.g. there is the console flickering bug that they tried to fix 3 times and rollbacked or failed all of them.
Or maybe we define decent differently.
That is entirely different from llm models. People like youtube, it has utility. Llm models don’t have enough utility to pay for their data centers and we all know it. Why are you simping for them? You believe their hype? That discredits you.
“I don’t like them therefore no one does” -you
People had the same conversations when YouTube was new and unproven, before it was the household name it is now. Many people thought it would never be profitable and watched them burn billion after billion.
I do think LLMs are overhyped, I’m with you there, but I do think they also provide utility that many use. Is it a bubble that will pop? 100%. But just like the web after the dotcom bubble, it’ll never go away.
Lmfao, look at this righteous edge lord.
Who needs to think things through, when you can just condemn someone who says anything “black” when you’re on team “white”.
wtf? Bitch.
Big baby bitch can’t even think things through.