> Think of it like WWII, only only instead of planting victory gardens to beat the Nazis, we're building AI apps and finding ways to create the economic value needed to cover the reckless bets being made by the elites. LOL fuck this, the stock market deserves to burn to the ground.
When did the HackerNews comment section turn into this? Low quality, aggressive, fervently anti-establishment.
AI Is Too Big to Fail
51–60 of 140 posts
Re: AI Is Too Big to Fail
#52>~75–80% of S&P 500 gains Dot com bust was 50% of S&P / 80% on Nasdaq... we survived it.. For Nvidia: all it will take is for one smart grad student to find a better training algorithm to destroy 75% of their value. Why I think a better algorithm is out there: Total installed GPU Tflops = 4 billion. Tflops of human brain = 1 million
that said, if all the current infrastructure could run brain-equivalent models at 20W each, I'd wager we would have much more demand than currently.
Re: AI Is Too Big to Fail
#53But on the whole, I'm not too worried.
Re: AI Is Too Big to Fail
#54I still have the hope that the AI bubble will leave as a side effect a massive build-out of energy infrastructure: Nuclear, Solar and Natural Gas. In my book, prosperity and progress is measured in Terajoules. If you have free, clean and abundant energy, you have industry, jobs, every fucking thing a healthy economy should want or need to have. And on the other side, I think the Chinese are deluding themselves on rob…
Re: AI Is Too Big to Fail
#55Earlier quoted context omitted.
Pensioners and retirees willingly dumping money into index funds without oversight are the dumb money that enables all of this. So yes, they deserve a haircut.
Pensioners don’t have a choice where their stuff goes. A teacher or something simply doesn’t deserve that kind of hardship.
Re: AI Is Too Big to Fail
#56> Think of it like WWII, only only instead of planting victory gardens to beat the Nazis, we're building AI apps and finding ways to create the economic value needed to cover the reckless bets being made by the elites. LOL fuck this, the stock market deserves to burn to the ground.
When did the HackerNews comment section turn into this? Low quality, aggressive, fervently anti-establishment.
Re: AI Is Too Big to Fail
#57> AI is Too Big to Fail Now invest in my Ai company, 100mil at 10bn valuation, can't fail, too big.
Re: AI Is Too Big to Fail
#58LLMs are as much of a feature of an existing technology as computers are features of electricity. ML and neural networks have been around for a long time and the transition to LLM usage for us feels like "yup, another feature, just a really good auto-complete".
For most users of LLMs, this is a magical feature that answers any questions and saves so much time and effort. I would even dare say that LLMs are a bigger leap in technology than the internet itself was. The internet connected people, "AI" made it so that we need less of each other!
What was the cause of the enlightenment and renaissance period in europe that led to a boom in science, technology and the industrial revolution which is responsible for computers to begin with? It was the discovery of the new world and the expansion of europe into asia and africa. Get gold and pearls from the new world and sell use it to buy things in the near and far east. This meant people can spend time studying science, but it also meant military R&D. Better ships, better guns,better cannons. You need better science for that. Not just for colonization but the competition between european powers.
What's my point? AI/LLMs, are a leap in that people can now do a lot less things they don't want to do. Even if it means social instability. There is a very active arms-race in military capability, disinformation, control of markets and influence of governments going on as we speak. and this in turn is going to result in better and better improvements in every sector.
The internet meant we had to learn new things, move to more efficient work. LLMs meant without learning as much we tell the computer to do things and all it needs is guidance and some correction.
We all see the fads and the hype all over. But there are very real and very dramatic advantages and values to be extracted from LLMs, which in the long run would be the equivalent of the industrial revolution.
The pessimism feels a lot like people were being pessimistic about the internet back in the 90s.
AI isn't just too big to fail, it isn't something that can fail. Can long distance communication "fail" , can electronic computing fail? can transportation on wheels fail?
All the grifters slapping AI on everything will fail, but the AI tech and all the value and change that comes with it, isn't something worth even consider as having a potential for failure.
(sorry for the long post)
Re: AI Is Too Big to Fail
#59I think this is mostly about the US, right? Most countries haven't invested all that much in AI. Even if all this new AI would completely vanish overnight, I'm pretty sure most of the world wouldn't care one bit. Of course many AI companies and investors would be bankrupt; they'd be the real losers here. Many other companies and organisations would have wasted a lot of money on nothing, but they'll write it off and m…
I don't live in the US, but I'm rather worried.
Re: AI Is Too Big to Fail
#60>~75–80% of S&P 500 gains Dot com bust was 50% of S&P / 80% on Nasdaq... we survived it.. For Nvidia: all it will take is for one smart grad student to find a better training algorithm to destroy 75% of their value. Why I think a better algorithm is out there: Total installed GPU Tflops = 4 billion. Tflops of human brain = 1 million
But the flip side is excess capacity will be used for other fields which are not getting a chance.