Anonymous
ID: pmWxjOa0
7/22/2025, 3:40:38 PM No.511046526
When will the AI bubble pop?
Replies:
Thread 511046526 - /pol/ [Archived: 210 hours ago]
Anonymous
ID: ry+fFTfa
7/22/2025, 3:44:07 PM No.511046720
>>511046526 (OP)
the .com bubble popped but internet exploded after that anyway
the .com bubble popped but internet exploded after that anyway
Anonymous
ID: gHU5wFhv
7/22/2025, 3:45:39 PM No.511046815
Anonymous
ID: J0F7PpJq
7/22/2025, 3:48:59 PM No.511046998
>>511046526 (OP)
Soon:
>For the past few years, the AI industry has operated under its own version of Moore's Law: an unwavering belief that the cost of intelligence would perpetually decrease by orders of magnitude each year. Like clockwork, each new model generation promised to be not only more capable but also cheaper to run. Last week, Google quietly broke that trend.
>In a move that at first went unnoticed, Google significantly increased the price of its popular Gemini 2.5 Flash model. The input token price doubled from $0.15 to $0.30 per million tokens, while the output price more than quadrupled from $0.60 to $2.50 per million. Simultaneously, they introduced a new, less capable model, "Gemini 2.5 Flash Lite", at a lower price point.
>Hardware is the Bottleneck: The speed of LLMs is fundamentally limited by physical constraints on memory bandwidth. You simply cannot move petabytes of model weights instantly. Additionally, purchasing additional hardware to solve for demand problems must outpace the ever-increasing demand for AI models, which is unlikely at least for a while.
>Models are Hitting a Performance Wall: For a given model size, capabilities are beginning to asymptote because we are running out of novel data to train on, and training on more data is yielding diminishing returns.
>Energy Costs are Real: Data centers consume vast amounts of electricity. This is a hard, physical-world cost that doesn’t disappear with a software update. As models get bigger and training runs get longer, their energy appetite grows, putting upward pressure on operational costs.
https://sutro.sh/blog/the-end-of-moore-s-law-for-ai-gemini-flash-offers-a-warning
Soon:
>For the past few years, the AI industry has operated under its own version of Moore's Law: an unwavering belief that the cost of intelligence would perpetually decrease by orders of magnitude each year. Like clockwork, each new model generation promised to be not only more capable but also cheaper to run. Last week, Google quietly broke that trend.
>In a move that at first went unnoticed, Google significantly increased the price of its popular Gemini 2.5 Flash model. The input token price doubled from $0.15 to $0.30 per million tokens, while the output price more than quadrupled from $0.60 to $2.50 per million. Simultaneously, they introduced a new, less capable model, "Gemini 2.5 Flash Lite", at a lower price point.
>Hardware is the Bottleneck: The speed of LLMs is fundamentally limited by physical constraints on memory bandwidth. You simply cannot move petabytes of model weights instantly. Additionally, purchasing additional hardware to solve for demand problems must outpace the ever-increasing demand for AI models, which is unlikely at least for a while.
>Models are Hitting a Performance Wall: For a given model size, capabilities are beginning to asymptote because we are running out of novel data to train on, and training on more data is yielding diminishing returns.
>Energy Costs are Real: Data centers consume vast amounts of electricity. This is a hard, physical-world cost that doesn’t disappear with a software update. As models get bigger and training runs get longer, their energy appetite grows, putting upward pressure on operational costs.
https://sutro.sh/blog/the-end-of-moore-s-law-for-ai-gemini-flash-offers-a-warning
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Anonymous
ID: UV2ykv7W
7/22/2025, 3:54:32 PM No.511047307
>>511046998
so basically more jeets
so basically more jeets
Anonymous
ID: 7PGlMt9X
7/22/2025, 3:54:50 PM No.511047328
>>511046526 (OP)
When everyone realizes that it can't deliver on what was promised and what you'll see is the only surviving use case being personal assistant bots.
But those will be just as shitty as "siri" and "hey Google" was already...
Where they can't quite do what you want them to do to ease your life.
Oh and they'll make good gooner toys but that's about it.
When everyone realizes that it can't deliver on what was promised and what you'll see is the only surviving use case being personal assistant bots.
But those will be just as shitty as "siri" and "hey Google" was already...
Where they can't quite do what you want them to do to ease your life.
Oh and they'll make good gooner toys but that's about it.
Replies:
Anonymous
ID: F+e5gz6e
7/22/2025, 3:55:18 PM No.511047356
Replies:
Anonymous
ID: NVJhg8JX
7/22/2025, 3:58:22 PM No.511047550
>>511046526 (OP)
It wont. Everyone knows its being over sold to hell but they don't care because they governments will pump it in an attempt to make tools to monitor and control their populations.
It wont. Everyone knows its being over sold to hell but they don't care because they governments will pump it in an attempt to make tools to monitor and control their populations.
Anonymous
ID: tcfMH6wQ
7/22/2025, 4:00:03 PM No.511047653
>>511047328
I *wish* siri was as good as a bot like chatgpt, it's fucking terrible.
I *wish* siri was as good as a bot like chatgpt, it's fucking terrible.
Anonymous
ID: cxGbhypn
7/22/2025, 4:10:27 PM No.511048324
>>511046526 (OP)
Never, as a 130 IQ white person you have no use for AI, but a 75 IQ jeetnigger with AI can scam like a 100 IQ jeetnigger so AI is never going away
Never, as a 130 IQ white person you have no use for AI, but a 75 IQ jeetnigger with AI can scam like a 100 IQ jeetnigger so AI is never going away