No shit.

Like all new technologies, there is a time when bunches of companies jump on the band wagon to get in on the action. You can see it all throughout the history of the industrial revolution.

They mostly know that there will come a great weeding out of those that can't handle the technology or just fail from poor management. But they are betting they will be among the 1% that wins the race and remain to dominate the market.

The rest will just bide their time until the next Big Thing comes along. And the process starts over again.

Yeah, but thanks to the glory of corporateworld, all the people involved in making these decisions will be in a higher position at a different company by the time the consequences come knocking.

You definitely will not regret spending billions of dollars on GPUs and electricity bills.

Maybe it's like the dotcom bubble: there is genuinely useful tech that has recently emerged, but too many companies are trying to jump on the bandwagon.

LLMs do seem genuinely useful to me, but of course they have limitations.

I am old enough to remember when the CEO of Nortel Networks got crucified by Wall Street for saying in a press conference that the telecom/internet/carrier boom was a bubble, and the fundamentals weren't there (who is going to pay for long distance anymore when calls are free over the internet? where are the carriers-- Nortel's customers-- going to get their income from?). And 4 years later Nortel ceased to exist. Cisco crashed too, though had enough TCP/IP router biz and enterprise sales to keep them alive even until today.

This all reminds me of the late 1990s internet bubble rather than the more recent crypto bubble. We'll all still be using ML models for all kinds of things more or less forever from now on, but it won't be this idiotic hype cycle and overvaluation anymore after the crash.

Shit, crypto isn't going anywhere either, it's a permanent fixture now, Wall Street bought into it and you can buy crypto ETFs from your stockbroker. We just don't have to listen to hype about it anymore.

Wow, a CEO who doesn’t buy into the hype? That’s astonishing.

I, for one, cannot wait for the bubble to burst so we can get back to some sense of sanity.

Edit>> Though if Baidu is investing in AI like all the rest, then maybe they just think they’ll be immune — in which case I’m sad again that I haven’t yet come across a CEO who calls bullshit on this nonsense.

AI will have its uses, and it has practical use cases such as helping people to walk or to speak or to translate in real time, etc. But we’re decades away from what all these CEOs seem to think they’re going to cash in on now. And it’ll be fun on some level watching them all be wrong.

idk why baidu requires a account to download from it.

10 to 30? Yeah I think it might be a lot longer than that.

Somehow everyone keeps glossing over the fact that you have to have enormous amounts of highly curated data to feed the trainer in order to develop a model.

Curating data for general purposes is incredibly difficult. The big medical research universities have been working on it for at least a decade, and the tools they have developed, while cool, are only useful as tools too a doctor that has learned how to use them. They can speed diagnostics up, they can improve patient outcome. But they cannot replace anything in the medical setting.

The AI we have is like fancy signal processing at best

No bubble has deserved to pop as much as AI deserves to