Earlier quoted context omitted.
Is that a thing now?
Has been for a while, the difference isn’t huge but it does seem to be a difference. Slightly different cohorts.
After the AI boom: what might we be left with?
111–120 of 489 posts
Re: After the AI boom: what might we be left with?
#112> GPUs that have a 1-3 year lifespan In 10 years GPUs will have a lifespan for 5-7 years. The rate of improvement on this front has been slowing down faster then CPU.
The full quote is: > Most of the money is being spent on incredibly expensive GPUs that have a 1-3 year lifespan due to becoming obsolete quickly and wearing out under constant, high-intensity use. So it isn’t entirely tied to the rate of obsolescence, these things apparently get worn down from the workloads. In terms of performance improvement, it is slightly complicated, right? It turns out that it was possible to…
Re: After the AI boom: what might we be left with?
#113Without moralizing or assuming the worst intentions of oligarchs, globalists, evil capitalists, and so on, I still don’t understand how a consumption based economy continues to fund the build out (oil->Saudi Arabia->LPs->OpenAI) when the technology likely removes the income of its consumers. Help me understand.
Re: After the AI boom: what might we be left with?
#114The singularity. I don't think most authors of articles like these understand what the AI build up is about, they think it's another fad tool.
Indeed, the critics can only be so critical because they are not convinced of the revealed truth that we are materializing machine god. How irrational.
Re: After the AI boom: what might we be left with?
#115Earlier quoted context omitted.
the real innovation is that neural networks are generalized learning machines. LLMs are neural networks on human language. The implications of world models + LLMs will take them farther
The neural net was invented in the 1940s, and LLMs were created in the 1960s. It's 2025 and we're still using 80yo architecture. Call me cynical, but I don't understand how we're going to avoid the physical limitations of GPUs and data to train AIs on. We've pretty much exhausted the latter, and the former is going to hit sooner rather than later. We'll be left at that point with an approach that hasn't changed much…
Re: After the AI boom: what might we be left with?
#116Re: After the AI boom: what might we be left with?
#117I cant believe people still arent grasping the profound implications of computers that can talk and make decisions.
The self checkout machines at the supermarket can talk and make decisions. I don't see them revolutionising the world.
Re: After the AI boom: what might we be left with?
#118Earlier quoted context omitted.
thanks for that comment. I know absolutely nothing about chip designs, but i too was under the assumption that chips, like anything, wear out. And the more you use them, the more they do. Is the wear so small that it’s simply negligible ?
As long as you keep temperatures and currents in check, there's no reason for a chip under load to fare worse than an idle chip. Eventually, maybe, but not in the 5-10 year lifespan expected of semiconductors.
Re: After the AI boom: what might we be left with?
#119Earlier quoted context omitted.
dude again, we have computers that can talk and make decisions. We have birthed something here. We have something, this is big.
Define "make decisions" such that an 'if' statement does not qualify but an llm does. LLMs may be a stepping stone to AGI. It's impressive tech. But nobody's proven anything like that yet, and you're running on pure faith not facts here.
Re: After the AI boom: what might we be left with?
#120Earlier quoted context omitted.
Reminds me of crypto/Web-3.0 hype. Lots of bluster about changing economic systems, offering people freedom and wealth, only to mostly be scams, and coming with too serious inherent drawbacks/costs to solve many of the big problems it promises to solve. In the end leaving the world changed, but not as meaningfully or positively as promised.
the difference is the impact of crypto was always hypothetical, chatgpt can be used, explored, and if you are creative enough, levered in ways as the ultimate tool
Maybe say something concrete? What's a positive real world impact of LLMs where they aren't hideously expensive and error prone to the point of near uselessness? Something that isn't just the equivalent of a crypto-bro saying that their system for semi-regulated speculation (totally not a rugpull!) will end the tyranny of the banks.