I believe the implosion of the AI bubble will essentially torpedo the only thing still supporting the US economy?
The company I work does pretty basic analysis. Its certainly an “every day” application. It’s been two or three years they’ve been Investing large amounts of money into this, and it can’t do shit. We have been “training” it for faaaaaar longer than it would take to train a human to do these things. Plus, they’ve torn it apart and completely restarted the process at least twice, to my knowledge. Zero efficiencies, very little practical capability. I hear that it’s great at coding and math, I’ve seen it do word processing pretty good, but these assholes oversold it’s capabilities to the managerial class, and they fucking took it. Hook, line, and sinker.
Nothing an injection of taxpayers money can’t fix!
Could they not have asked their top-tier LLM for advice on how to avoid this massive loss? No? Oh.
This is the first major real sign of the bubble popping. An actual verified report from the Financial Times regarding massive drop in revenue expectations, rather than just people hoping it pops.
cant happen soon enough
Oh no! If only someone could buy then once they go into bankruptcy… someone like… Microslop perhaps?
(mark my words, this will almost certainly happen)
Who could have possibly seen this coming?!
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Since I haven’t seen it yet in this conversation, I think I need to bring some better context to what this article is claiming.
No, OpenAI did not assume they were making $70 billion. They’ve always known their existing number. In fact, that number IS what was reported to investors.
The $70 billion number is coming from a specific investor that wanted to adjust the definition of revenue to get a more “apples to apples” comparison to Anthropic’s numbers.
When these companies license their models to hypervisors (AWS, Azure, etc), those hypervisors take a cut. OpenAI does not report that cut as revenue. This investor wanted to add it back in to get a “total demand for AI tokens” number.
They are 2 completely different metrics coming from 2 completely different groups.
Impossible the bubbles never burst
After the initial dot com boom and bust (remenber pets.com?) I remember being told laptops and desktops were dead and we’d all be using tablets. Metaverse, google glass, self driving vehicles real soon, theranos will transform health care, NFTs, crypto. And now AI. Its all just a repeating toilet bowl swirl of empty speculation, exactly like a casino. And not a single one of those things came to much. I wonder if AI will leave much progress behind when it implodes. Maybe this time itll be different?
remember pets.com
I think pets.com is probably the best analogy to what will happen with this first round of AI companies. In hindsight pets.com’s business model was fine and modern companies like chewy are doing the same thing successfully.
The problem was timing, internet adoption was low and most people didn’t understand how to use the Internet or trust it. Combine that with a flood of speculative dollars that mostly gets funneled into marketing with no adoption to justify it and the business falls apart.
I think we’ll see the same thing happen with some of these AI applications, the use case may be valid, but people, and the devs, won’t know how to use AI and the people won’t trust it so adoption will be low even with high marketing and the company will go bust. Then 10 years from now we’ll make fun of that AI party planning app that went under while we all plan our parties through some new AI app.
AI IS a useful tool for some things, just not everything. So it ain’t going away. Just as the “cloud” is still with us. Or email. Anyone remember when every ISP had their own email?
Every new idea goes through the process of catching on, stupid rapid growth, and then the weeding out of 90+ % of them, and finally the stabilizing the market for those that actually need and use it. Whether is cars, TVs, Cell phones, or AI, every hot new idea goes through this process.
Tech Bros have been trying to repeat the Net Boom almost immediately after that bubble burst - I think it didn’t take more than a couple of years after that Crash for the “Web 2.0” to start being paraded around like some kind of new gold rush that everybody should jump into and, as clearly visible in the list of hype techs you wrote, they just kept doubling down on the hype and the fraud ever since.
I actually was in Tech in the 90s and during the Crash, and then came back to that industry and into startups almost 2 decades later, and my feeling is that the point when the entire sector turned into nothing more than a giant grift was either a bit after the crash or, at best, just when the boom before it was peaking - I remember very clearly that in the 90s startups mostly started with somebody having a cool idea for tech, whilst in the 00s and onwards they mostly started with somebody having a business idea which was generally about setting oneself up as an intermediary in a kind of business transaction already done for decades, using the Internet and/or Smartphones to come up with a new twist for it and some way of becoming an aggregator/middle-man between both sides of the transaction.
I wonder if AI will leave much progress behind when it implodes.
I think it will, it’s the one bit of AI optimism I actually have. I have a theory the big AI firms love for example Yudkowsky’s doomsday cult so much because it’s easier for them to imagine the end of humanity than it is to imagine them not getting an extractive oligopoly over an emerging technology.
The tech itself is actually decent as tech, it’s not what the boosters claim it is but even if development stopped advancing today there’s loads of niches it’d be changing for a long time; computer vision in medical settings for example. Useful things like TTS will be much better going forward than they ever were, and for better and worse things like computer vision in general (ie in public) will never be the same. LLMs are basically magic NLP boxes too, they’re useful for classification as much as generating slop.
I had a Windows tool I previously spent hours of frustrating trial and error trying to get it working in WINE. Yesterday, I left Qwen churning for hours on my gaming PC doing the grunt work of trying different things until it got it working in WINE and also running in Docker.
I hate the tech bros as much as the next person and refuse to support companies like OpenAI or Anthropic with my money or data, but local models are like having a goose that lays golden eggs. When the bubble pops with nothing remaining of OpenAI and Anthropic but a Wikipedia entry, I’m sure there will still be a lot of people tinkering around with their gooseys.
My own opinion is that Ai is the greatest threat to capitalism since Karl Marx and nobody has caught on to it yet.
The idea of top down control of this technology- eg a single or a few companies holding the rinse and selling it to everyone else - has been quickly proven to be a fantasy.
I think it’s what both the fuck ai crowd and the Ai bros are missing with the whole situation. No one makes money with Ai (except the people that make the hardware it runs on). Not the people who used to do the things it does, not the people who want to control and sell it.
It seems highly unlikely to me because AI requires massive amounts of capitalism to work, from the mass production of chips to the mass aggregation of knowledge in digital form.
It’s definitely an interesting point of view I think, and definitely one worth taking seriously.
One thing it might be really cool for is implementing cybernetic ideas, which would be ironic as the term AI was originally coined to move away from cybernetics! I think cybernetics could well be the weapon of choice for a serious socialist challenge to capitalist norms, I don’t think anyone sane wants to bring Gosplan back from the dead for example (it was a good example of very constrained and unreliable information flow) but cybernetics is a serious answer to the neoliberal argument that only prices carry the necessary economic information to operate a modern economy.
The cyberneticist would argue that there are much richer data available and we should build systems which take it into account, and allow for more sophisticated goals than ‘more billionaires’ to be deliberately aimed towards. It can also be used to do away to some extent with all-powerful centralised bureaucracies (and the inevitable bureaucratic class which forms around them) because decentralisation is a key component of cybernetic ideas.
The funniest part is that the dot com crash didn’t kill the internet. It killed a lot of terrible business plans. AI may follow the same script: useful tools survive, investors discover that a chatbot isn’t worth infinite money, and taxpayers get stuck with the data center power bill. The technology can be real while the valuation is pure casino. - PS: You didn’t mention the smartphone. And that’s exactly what people mainly use these days.
The thing with this bubble is that it’s all terrible business plans. We’re 4 years in and no great leap. No productivity gain. No company that’s been able to turn the tech into something that makes a profit.
Yes, the tech will survive but if nobody is prepared to pay the actual compute costs, it’s going to get abandoned.
Exactly. And cheap open weight AI is the wildcard. If people can run capable OWAI locally for pennies, the trillion dollar moat starts looking like a very expensive puddle. AI could thrive while the companies betting on permanent scarcity discover they funded their own competition.
I’m not sure how much distillation and building on top of each others results is going on. I could see all the models freeze in development when the money leaves the segment.
A model frozen in the past has limited usefulness.
Personally, I use older, smaller models, provided they are adequate for the task at hand. My theory is that at least 80% of companies are using a sledgehammer to crack a nut. Not only is that incredibly expensive, but it’s also incredibly ignorant.
That’s the thing about bubbles: it doesn’t mean that the thing is useless, just that its value is inflated. We still have websites after the dotcom bubble burst, certainly we still have housing despite several bubbles bursting there. I would be surprised if LLMs go away entirely. OpenAI and Anthropic might not survive, but Google and Microsoft will continue. God only knows what will happen in China. Local models will still be OK. The broader concepts of machine learning, deep learning, big data etc have been useful for far longer than this bubble and will continue.
Exactly. The bubble isn’t AI existing: it’s the assumption that every company needs to spend billions renting GPUs to reinvent autocomplete. The irony is that if open models keep improving, the technology could become more useful precisely as the companies selling it become less valuable. Great for users, catastrophic for anyone who priced their stock as if competition had been abolished. - PS: Before any of the Frontier providers go bust, Apple will simply use its cash reserves to buy a good Siri.
I think Anthropic will survive. Claude code is very useful.
Cursor may secure Groks future too.
Useful doesn’t mean profitable, sustainable or cost effective.
You’re not paying the real cost right now.
It depends, if Anthropic keep nerfing Claude’s capabilities they’re going to lose to their competitors. I’ve been doing defensive cybersecurity work for the last couple of weeks and Claude, a tool which should be ideal for automating the tedious parts of this, has been a complete pain in the arse.
Claude: I’ve found a security bug in your codebase that nobody knows about!
Me: Oh shit that’s not good, can I see it?
Claude: <blocked by safety classifier>
Repeat ad nauseam.
The prissy little bastard’s recalcitrance made me to do a lot of stuff by hand anyway, but instead of being bored I’m now actively irritated by the bot telling me what I can and can’t do. Obviously can’t use them at work for regulatory reasons, but when I was doing similar stuff at home to secure a side project which has to live on the public internet GLM and DeepSeek have no such qualms and honestly I’m convinced the whole ‘DeepSeek is the budget option’ thing is mostly behavioural economics; the cheapness to me feels like efficiency gains more than nerfing the model.
My boss is big into Claude code and has produced something really useful from it. Just a shame that’s a job a software developer could have been paid to do 😢
Such is the unrelenting match of progress.
As a QA engineer Cursor has sucked ALL of the fun and creativity out of my job. Also cost two of my subordinates their job
I can’t deny it’s useful though
The tablet one eventually came true. Desktops and laptops aren’t anywhere near as popular for personal use by non-technical people.
Netbooks and thin computing too.
Nope, all hype and fizzle.
Turns out people want to own their personal hardware/software tools and data, without some perverts reading and observing their family interactions.
I hope you are right .
But i just read and article suggesting that new university students "cant imagine " writing a 5 page paper without AI chatbots…
Technology investment bubbles have existed since at least the industrial revolution kicked off. Tons of airlines went bankrupt in the early days of air travel, for example. I don’t know anything about it but I assume the same thing happened with trains and a gazillion other technologies that actually are pretty cool.
Marx pointed out that capitalism needs periodic cycles of capital destruction, and here we are…
https://en.wikipedia.org/wiki/Railway_Mania
Railway Mania was a stock market bubble in the railway industry of the United Kingdom of Great Britain and Ireland in the 1840s. It followed a common pattern: as the price of railway shares increased, speculators invested more money, which further increased the price of railway shares, until the share price collapsed. The mania reached its zenith in 1846, when 263 Acts of Parliament for setting up new railway companies were passed, with the proposed routes totalling 9,500 miles (15,300 km). About a third of the railways authorised were never built—the companies either collapsed because of poor financial planning, were bought out by larger competitors before they could build their line, or turned out to be fraudulent enterprises to channel investors’ money into other businesses.[
Yes this time it will be different, please purchase ETFs with names like “AI, Metaverse and Blockchain” (they actually exist)
/s
Imagine any other company admitting 20 billion setback, how would the investors react to it? I wonder if them admitting this is the needle starting to puncture the bubble, since i cant imagine why anyone would want to invest anything more to them and without more money being injected to their loop how will they keep it running?
