Soon
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The current models depend on massive investment into server farms. They aren't generating profit, and probably can't. When the companies involved realize it's not going to happen, they'll pull it all. That will generate a new AI winter, and in 20 or 30 years, maybe the pieces will be picked up and the field will go through another summer cycle. This sort of boom/bust cycle has happened before in AI.
And no, self-hosted models aren't going to make up for it. They aren't as powerful, and more importantly, they will never be able to drive mass market adaptation.
wrote on last edited by [email protected]The current models depend on massive investment into server farms
I hate to tell you this but your knowledge of AI appears to be limited to 2023
You missed the entire Deepseek fiasco which basically put an end to the "just order more chips" strategy of AI
Chinese company DeepSeek made waves earlier this year when it revealed it had built models comparable to OpenAI’s flagship products for a tiny fraction of the training cost. Likewise, researchers from Seattle’s Allen Institute for AI (Ai2) and Stanford University claim to have trained a model for as little as US$50.
Or if you'd like to read an absolutely mega article on it: https://stratechery.com/2025/deepseek-faq/
And no, self-hosted models aren’t going to make up for it. They aren’t as powerful, and more importantly, they will never be able to drive mass market adaptation
Both Samsung and Apple have on device AI already, you've not seen the Apple ad? https://www.youtube.com/watch?v=iL88A5F9V3k
They're only planning more and more features using it
They aren’t as powerful
We've had insane gains in locallama's since 2022, including but not limited to this from the other day https://lemmy.world/post/30442991
And every few weeks a newer and improved model comes out, I've never seen tech so amazing and progress so fast as I have AI
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The current models depend on massive investment into server farms
I hate to tell you this but your knowledge of AI appears to be limited to 2023
You missed the entire Deepseek fiasco which basically put an end to the "just order more chips" strategy of AI
Chinese company DeepSeek made waves earlier this year when it revealed it had built models comparable to OpenAI’s flagship products for a tiny fraction of the training cost. Likewise, researchers from Seattle’s Allen Institute for AI (Ai2) and Stanford University claim to have trained a model for as little as US$50.
Or if you'd like to read an absolutely mega article on it: https://stratechery.com/2025/deepseek-faq/
And no, self-hosted models aren’t going to make up for it. They aren’t as powerful, and more importantly, they will never be able to drive mass market adaptation
Both Samsung and Apple have on device AI already, you've not seen the Apple ad? https://www.youtube.com/watch?v=iL88A5F9V3k
They're only planning more and more features using it
They aren’t as powerful
We've had insane gains in locallama's since 2022, including but not limited to this from the other day https://lemmy.world/post/30442991
And every few weeks a newer and improved model comes out, I've never seen tech so amazing and progress so fast as I have AI
Deepseek is not the huge leap it appears. It's better, but not at all what was initially claimed.
Nor is smartphone AI going to do the things people what AI to do. It won't let the CEO take your job.
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Deepseek is not the huge leap it appears. It's better, but not at all what was initially claimed.
Nor is smartphone AI going to do the things people what AI to do. It won't let the CEO take your job.
why are you linking me to articles i read ages ago?
Nor is smartphone AI going to do the things people what AI to do. It won’t let the CEO take your job.
You think AI is only useful if it’s taking someones job?
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why are you linking me to articles i read ages ago?
Nor is smartphone AI going to do the things people what AI to do. It won’t let the CEO take your job.
You think AI is only useful if it’s taking someones job?
why are you linking me to articles i read ages ago?
Perhaps because you didn't understand what they said.
You think AI is only useful if it’s taking someones job?
It's why companies are dumping billions into it.
If the models were actually getting substantially more efficient, we wouldn't be talking about bringing new nuclear reactors online just to run it.
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I feel like on image/video generation, I can agree that the recent months have shown a lot of progress.
I'm not so much feeling it on the text generation front, it's felt about the same to me for a while here, notably impressive, but still a bit... off...
Probably there is a lower ceiling in text generation to things that are considered "progress" by everyone. People can verbalize exactly what is wrong with pictures and video, but for text, if it is coherent and gets the point across what is progress beyond passing the Turing test?
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why are you linking me to articles i read ages ago?
Perhaps because you didn't understand what they said.
You think AI is only useful if it’s taking someones job?
It's why companies are dumping billions into it.
If the models were actually getting substantially more efficient, we wouldn't be talking about bringing new nuclear reactors online just to run it.
wrote on last edited by [email protected]Perhaps because you didn’t understand what they said.
they repeat what i said, did you read them? previously ai model training was entirely based on simply buying more chips as fast and as hard as possible, deepseek changed that
From your own article
Is it impressive that DeepSeek-V3 cost half as much as Sonnet or 4o to train? I guess so. But OpenAI and Anthropic are not incentivized to save five million dollars on a training run, they’re incentivized to squeeze every bit of model quality they can. DeepSeek are obviously incentivized to save money because they don’t have anywhere near as much.
https://www.seangoedecke.com/is-deepseek-fast/
The revelations regarding its cost structure, GPU utilization, and innovative capabilities position DeepSeek as a formidable player.
https://www.yahoo.com/news/research-exposes-deepseek-ai-training-165025904.html
^ fyi that article you linked to is an AI summary of a semianalysis.com article, maybe AI is useful after all
If the models were actually getting substantially more efficient, we wouldn’t be talking about bringing new nuclear reactors online just to run it.
Youtube uses a fuck ton of power but is an incredibly efficient video delivery service
The growth and popularity of AI and its uses is simply outpacing the efficiency gains
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Perhaps because you didn’t understand what they said.
they repeat what i said, did you read them? previously ai model training was entirely based on simply buying more chips as fast and as hard as possible, deepseek changed that
From your own article
Is it impressive that DeepSeek-V3 cost half as much as Sonnet or 4o to train? I guess so. But OpenAI and Anthropic are not incentivized to save five million dollars on a training run, they’re incentivized to squeeze every bit of model quality they can. DeepSeek are obviously incentivized to save money because they don’t have anywhere near as much.
https://www.seangoedecke.com/is-deepseek-fast/
The revelations regarding its cost structure, GPU utilization, and innovative capabilities position DeepSeek as a formidable player.
https://www.yahoo.com/news/research-exposes-deepseek-ai-training-165025904.html
^ fyi that article you linked to is an AI summary of a semianalysis.com article, maybe AI is useful after all
If the models were actually getting substantially more efficient, we wouldn’t be talking about bringing new nuclear reactors online just to run it.
Youtube uses a fuck ton of power but is an incredibly efficient video delivery service
The growth and popularity of AI and its uses is simply outpacing the efficiency gains
they repeat what i said, did you read them? previously ai model training was entirely based on simply buying more chips as fast and as hard as possible, deepseek changed that
Yes, and it says exactly what I claimed. DeepSeek is an improvement, but not to the level initially reported. Not even close.
Youtube uses a fuck ton of power but is an incredibly efficient video delivery service
What a colossally stupid thing to say. We're not looking at starting up new nuclear reactors to run YouTube.
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they repeat what i said, did you read them? previously ai model training was entirely based on simply buying more chips as fast and as hard as possible, deepseek changed that
Yes, and it says exactly what I claimed. DeepSeek is an improvement, but not to the level initially reported. Not even close.
Youtube uses a fuck ton of power but is an incredibly efficient video delivery service
What a colossally stupid thing to say. We're not looking at starting up new nuclear reactors to run YouTube.
DeepSeek is an improvement, but not to the level initially reported.
🫠I cannot be any clearer:
previously ai model training was entirely based on simply buying more chips as fast and as hard as possible, deepseek changed that
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Have you seen how far it's come in just a few short months though? It's incredible the pace they've been achieving.
yeah, I think the OP's take is really naive
the tools and models will get a lot better, but more importantly the end products that succeed will make measured, judicious use of AI.
there always has been slop, and people will always misuse tools and create abominations, but the heights of greatness that are possible are increasing with AI, not decreasing
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yeah, I think the OP's take is really naive
the tools and models will get a lot better, but more importantly the end products that succeed will make measured, judicious use of AI.
there always has been slop, and people will always misuse tools and create abominations, but the heights of greatness that are possible are increasing with AI, not decreasing
I'm not even steeped in the depths of it. I've got friends who are using MCP and agents that can modify files on their own and work through problems over time and self-learn on your existing code, etc.
It's crazy and makes my head spin. Many of them were super skeptical early on but the tools that are being developed are absolutely BONKERS.
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"Also, regarding the white genocide in south Africa..."
So glad Hollywood finally stopped being woke
