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The Hater's Guide to the AI Bubble

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11–20 of 168 posts

Re: The Hater's Guide to the AI Bubble

#11
post #5

Are we in a bubble that's going to pop and take a large part of the economy with it? Almost certainly. Does it mean that the AI is a scam? Not really. After all, the Internet did not disappear after the dotcom burst, and, actually, almost everything we were promised by the dotcoms became reality at some point.

"doing everything on the internet" definitely worked out, but I don't see why that implies "GPU accelerated LLMs will replace large swathes of human labor" will also be true

Re: The Hater's Guide to the AI Bubble

#12

I think the author's take is overly bleak. Yes, he supports his claim that AI businesses are currently money pits and unsustainable. But I don't think it's reasonable to claim that AI can't be profitable. This whole thing is moving so extremely fast. Models are getting better by the month. Cost is rapidly coming down. We broadly speaking still don't know how to apply AI. I think it's hubris to claim that, in the wake…

We are pretty much plateauing in base model performance since gpt4. It's mostly tooling and integration now. The target is also AGI so no matter your product you will get measured on your progress towards it. With new "sota" models popping up left and right you also have no good way of user retention because the user is mostly interested in the models performance not the funny meme generator you added. looking at you openai...

"They called me bubble boy..." - some dude at Deutsche.

Re: The Hater's Guide to the AI Bubble

#13

I think the author's take is overly bleak. Yes, he supports his claim that AI businesses are currently money pits and unsustainable. But I don't think it's reasonable to claim that AI can't be profitable. This whole thing is moving so extremely fast. Models are getting better by the month. Cost is rapidly coming down. We broadly speaking still don't know how to apply AI. I think it's hubris to claim that, in the wake…

"Cost is rapidly coming down" but capital expenditures are still high. They'll have to charge for this eventually, no?

Re: The Hater's Guide to the AI Bubble

#14
post #5

Are we in a bubble that's going to pop and take a large part of the economy with it? Almost certainly. Does it mean that the AI is a scam? Not really. After all, the Internet did not disappear after the dotcom burst, and, actually, almost everything we were promised by the dotcoms became reality at some point.

"doing everything on the internet" definitely worked out, but I don't see why that implies "GPU accelerated LLMs will replace large swathes of human labor" will also be true

That's not what I'm saying. What dotcoms prove is that some technology can be a bubble and a real technological revolution at the same time, there is no contradiction here. "AI is a bubble and I probably shouldn't invest all my savings in NVDA" is a valid point, "AI is a bubble and therefore stupid and will never work" is not

Re: The Hater's Guide to the AI Bubble

#15
post #5

Are we in a bubble that's going to pop and take a large part of the economy with it? Almost certainly. Does it mean that the AI is a scam? Not really. After all, the Internet did not disappear after the dotcom burst, and, actually, almost everything we were promised by the dotcoms became reality at some point.

See, the problem when making predictions is that the timeframe is effectively the prediction. I don't know what will happen. When I saw GPT-3 I thought it was hot garbage and never took it seriously. As a result I now have large error bars about what the future holds.

What we got from the Internet was some version of the original promises, on a significantly longer timescale, mostly enabled by technology that didn't exist at the time those promises were made. "Directionally correct" is a euphemism for "wrong".

Re: The Hater's Guide to the AI Bubble

#16

AI is a temporary buoy for FAANG and the tech industry to keep the financial markets happy while they switch to their next source of growth: Military contracts. I hope people understand the irony, but to spell it out: they need to live on government money to sustain growth. Corporate welfare while 60% of the USA population doesn't have the money to cover a 1000$ emergency.

> Military contracts. They need to live on government money to sustain growth.

Meta makes 99% of its revenue from advertising (according to the article). Google, similarly, makes most of its money from advertising.

Tesla makes money by selling cars (there's no indication the government is going to transform their fleets to Tesla vehicles; in fact, they're openly hostile to EVs).

Apply needs to rely on US government military contracts for continued growth? What?

Amazon, the company that sells toothpaste and cloud services needs to rely on US government military contracts?

Consider me not convinced by the story you tell.

Re: The Hater's Guide to the AI Bubble

#17

AI is a temporary buoy for FAANG and the tech industry to keep the financial markets happy while they switch to their next source of growth: Military contracts. I hope people understand the irony, but to spell it out: they need to live on government money to sustain growth. Corporate welfare while 60% of the USA population doesn't have the money to cover a 1000$ emergency.

> Military contracts. They need to live on government money to sustain growth. Meta makes 99% of its revenue from advertising (according to the article). Google, similarly, makes most of its money from advertising. Tesla makes money by selling cars (there's no indication the government is going to transform their fleets to Tesla vehicles; in fact, they're openly hostile to EVs). Apply needs to rely on US government m…

https://nymag.com/intelligencer/article/mark-zuckerbergs-met...

Re: The Hater's Guide to the AI Bubble

#18

I think the author's take is overly bleak. Yes, he supports his claim that AI businesses are currently money pits and unsustainable. But I don't think it's reasonable to claim that AI can't be profitable. This whole thing is moving so extremely fast. Models are getting better by the month. Cost is rapidly coming down. We broadly speaking still don't know how to apply AI. I think it's hubris to claim that, in the wake…

We are pretty much plateauing in base model performance since gpt4. It's mostly tooling and integration now. The target is also AGI so no matter your product you will get measured on your progress towards it. With new "sota" models popping up left and right you also have no good way of user retention because the user is mostly interested in the models performance not the funny meme generator you added. looking at you…

>We are pretty much plateauing in base model performance since gpt4.

Reasoning models didn't even exist at the time, LLMs were struggling a lot with math at the time, now it's completely different with SOTA models, there have been massive improvements since gpt4.

Re: The Hater's Guide to the AI Bubble

#19
These sound very much in tone like the criticisms of Web 1.0

AI/LLMs are an infant technology, it’s at the beginning.

It took many many years until people figured out how to use the internet for more than just copying corporate brochures into HTML.

I put it to you that the truly valuable applications of AI/LLMs are yet to be invented and will be truly surprising when they come (which they must of course otherwise we’d invent them now).

Amdahl says we tend to overestimate the value of a new technology in the short term and underestimate it in the long term. We’re in the overestimate phase right now.

So I’d say ignore the noise about AI/LLMs now - the deep innovations are coming.

Re: The Hater's Guide to the AI Bubble

#20

AI is a temporary buoy for FAANG and the tech industry to keep the financial markets happy while they switch to their next source of growth: Military contracts. I hope people understand the irony, but to spell it out: they need to live on government money to sustain growth. Corporate welfare while 60% of the USA population doesn't have the money to cover a 1000$ emergency.

> Military contracts. They need to live on government money to sustain growth. Meta makes 99% of its revenue from advertising (according to the article). Google, similarly, makes most of its money from advertising. Tesla makes money by selling cars (there's no indication the government is going to transform their fleets to Tesla vehicles; in fact, they're openly hostile to EVs). Apply needs to rely on US government m…

OP is speaking about the next source of growth, not existing revenue streams.
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