lol. lmao, even
What? The line goes up? Where I can invest my life savings in the IPO?
Finally, some good news.
they will somehow shift the cost on the consumer and continue on
Who wants to give me a billion dollars to dig a hole and I’ll give you a billion to fill it back in and we’ll both say to investors we posted a billion dollars in revenue.
Did they check the couch cushions?
It’s all the Starbucks they’re buying
How many Starbucks stores do they need in one office building?
At least 12
Move fast and burn everything down
But when will i get cheap GPUs
Fuck AI, it’s a bubble, etc. But I do wonder how much of the spending is actual revenue-generating operating costs and how much is further investment/R&D. I doubt Sam Altman sees spending Microsoft’s billions on whatever tf he wants as a loss.
Considering how many trillions quietly went into the field, I expect that’s a LOT lower than real numbers.
So, #FuckAI?
I thought for-profit companies were supposed to make a profit…
Well actually there is a long and rich history of companies that are able to operate at a loss using funds appropriated from sale of shares to investors, and this process continues so long as new investors keep buying in such that anybody selling out is covered by the new funds until enough people try to sell out that the price starts to plunge, although the collapse can be delayed by the company strategically buying back and occasionally splitting or reorganizing, meaning everyone gets their money back unless they sell too late.
You know.
A fucking Ponze Scheme.
Well that’s a damn good post Mr banjo
Ding ding na na na na na ding ding ding
Oh honey, that hasn’t been true since 2008.
The government will bail out companies that get too big to fail. So investors want to loan money to companies so that those companies become too big to fail, so that when those investors “collect on their debt with interest” the government pays them.
They funded Uber, which lost 33 billion dollars over the course of 7 years before ever turning a profit, but by driving taxi companies out of business and lobbying that public transit is unnecessary, they’re an unmissable part of society, so investors will get their dues.
They funded Elon Musk, whose companies are the primary means of communication between politicians and the public, a replacing NASA as the US government’s primary space launch provider for both civilian and military missions, and whose prestige got a bunch of governments to defund public transit to feed continued dependence on car companies. So investors will get their dues through military contracts and through being able to threaten politicians with a media blackout.
And so they fund AI, which they’re trying to have replace so many essential functions that society can’t run without it, and which muddies the waters of anonymous interaction to the point that people have no choice but to only rely on information that has been vetted by institutions - usually corporations like for-profit news.
The point of AI is not to make itself so desirable that people want to give AI companies money to have it in their life. The point of AI is to make people more dependent on AI and on other corporations that the AI company’s owners own.
You have to make money to lose money.
That’s not what the bank told me
AI is funded solely by sunk cost fallacy at this point. I wonder how long it will be before investments start getting pulled back because of a lack of ROI. I can already feel the sentiment towards AI and it getting pushed in everything turning negative amongst consumers recently.
I wouldn’t have a problem if they were actually investing the money in something useful like R&D
Nearly all the investment is in data centers. Their approach for the past 2 years seems to be just throwing more hardware at existing approaches, which is a really great way to burn an absurd amount of money for little to nothing in return
It’s very corporate, isn’t it? “Just keep scaling what we have.”
That being said, a lot of innovation is happening, but goes unused. It’s incredible how my promising papers come out, and get completely passed over by Big Tech AI, like nothing matters unless it’s developed in house.
The Chinese firms are picking up some research in bigger models, at least, but are kinda falling into local maxima too.
Investment is done really to train models for ever more miniscule gains. I feel like the current choices are enough to satisfy who is interested in such services, and what really is lacking is now more hardware dedicated to single user sessions to improve quality of output with the current models.
But I really want to see more development on offline services, as right now it is really done only by hobbyists and only occasionally large companies with a little dripfeed (Facebook Llama, original Deepseek model [latter being pretty much useless as no one has the hardware to run it]).
I remember seeing the Samsung Galaxy Fold 7 (“the first AI phone”, unironic cit.) presentation and listening to them talking about all the AI features instead of the real phone capabilities. “All of this is offline, right? A powerful smartphone… makes sense to have local models for tasks.” but it later became abundantly clear it was just repackaged always-online Gemini for the entire presentation on $2000 of hardware.
They’re investing this much because they honestly seem to think they’re on the cusp of super intelligent AGI. They’re not, but they really seem to think they are, and that seems to justify these insane investments.
But all they’re really doing is the same thing as before but even bigger. It’s not going to work. It’s only going to make things even more expensive.
I use Copilot and Claude at work, and while it’s really impressive at what it can do, it’s also really stupid and requires a lot of hand holding. It’s not on the brink of AGI super intelligence. Not even close. Maybe we’ll get there some day, but not before all these companies are bankrupt.
The dot com bubble 2.0 is on the horizon
Comparing the coming crash to the dot com crash is like comparing a rough landing to the various crashes on Sept 11th, 2001.
The dot com crash was mostly isolated in high tech. Because it was lead by the Japanese economy starting to fail, and followed by the Sept 11th attacks, the various combined crashes resulted in the S&P 500 falling by about 50% from its peak to the bottom, but it was already back up to the peak value in 2007, then the global financial crisis hit.
This bubble is much bigger. Some analysts say the AI bubble is 17x the size of the Dot Com bubble, and 4x the size of the 2007/08 real estate bubble. AI stocks were 40% of all US GDP growth in 2025, and 80% of all growth in US stocks.
Nvidia’s stock price has gone up 1700% in just 2 years. OpenAI is planning to go public on a valuation of $1 trillion despite losing vast amounts of money. Just 7 US tech companies make up 36% of the entire US stock market, and they’re all heavily betting on AI.
At least when the dot com bubble popped, it left some useful things behind, like huge amounts of dark fibre. But, the AI processors are so specialized they can’t be used for much of anything else. They also wear out, sometimes within months. The datacenter buildings themselves can maybe be repurposed to being general purpose datacenters, but, a lot of the contents will have to be thrown out.
Have you seen any comparisons to the previous AI bubbles and winters?
AFAIK none of the previous AI bubbles really had much investment. There was hype, but it was hype within the computer science, or cognitive science fields. But, maybe there’s a financial bubble bit that I’m missing.
I don’t know about how they compare in scale, but corpos were spending billions on business AI solutions, and there were specialised technologies that died when the bubble burst.
I knew it was a bubble since Computex January 2024 when Derb8uer showed an “AI PC case”. He asked “What’s AI about this PC case?” and they replied that you could put an AI PC inside it.
You are talking more about the term here being used everywhere out of context.
I am talking about companies slapping “AI” on their products and systems and raising their value, in the same way that companies in the 90s slapped “dotcom” on their branding and raised their value.
what really is lacking is now more hardware dedicated to single user sessions to improve quality of output with the current models
That is the exact opposite of my opinion. They’re throwing tons of computing at the current models. It has produced little improvement. The vast majority of investment is in compute hardware, rather than R&D. They need more R&D to improve the underlying models. More hardware isn’t going to get the significant gains we need
The problem is there is little continuous cash flow for on prem personal services. Look at Samsung’s home automation, its nearly all online features and when the internet is out you are SOL.
To have your own Github Copilot in a device the size and power usage of a Raspberry Pi would be amazing. But then they won’t get subscriptions.
more development on offline services
There is absolutely massive development on open weight models that can be used offline/privately. Minimax M2, most recent one, has comparable benchmark scores to the private US megatech models at 1/12th the cost, and at higher token throughput. Qwen, GLM, deepseek have comparable models to M2, and have smaller models more easily used on very modest hardware.
Closed megatech datacenter AI strategy is partnership with US government/military for oppressive control of humanity. Spending 12x more per token while empowering big tech/US empire to steal from and oppress you is not worth a small fraction in benchmark/quality improvement.
AI is funded solely by sunk cost fallacy at this point.
and the us economy an gdp relies solely on ai make of that what you will.
Yeah, Trump will prop it up with tax dollars to prolong the inevitable. That’s the American way.
That’s the only reason I don’t think it will pop in the next 6 months or so. Even Biden or Obama would have stepped in to try to prevent the economy from crashing. But, there’s the Trump factor. First of all, some of his biggest backers are from the AI “industry”. His VP is tied to Peter Thiel, his biggest donors are Crypto and AI bros. The vast majority of his own personal money is tied up in the current Crypto bubble. In addition, he’s obviously so easily bribed. Even if he he wasn’t interested in intervening otherwise, he could easily be bribed to intervene.
Because of Trump, and the fact that the house, senate and judiciary are all Trump lackeys, I think the bubble will survive until at least the 2026 midterms. If the Democrats take back control of the House and Senate they could take control over spending from Trump, which might mean the bubble is allowed to pop. But, I wouldn’t be surprised to see Trump hand over literal trillions in taxpayer dollars to keep the bubble inflated.
One of our biggest bookstores contracted with a local artist for some merch. That artist used AI with predictable results. Now everyone involved is getting raked over the coals for it.
No surprise, they just announced a 4th round of layoffs too. 😟
https://www.koin.com/news/portland/powells-layoffs-employees-10292025/
I wonder how long it will be before investments start getting pulled back because of a lack of ROI.
Just wait for the next hot thing to come out
I’d love to see a revisit to METAverse. Lmao.
Why do you think AI is pushed so hard?
Everyone is aware this has to be useful. Too much money.
Still the powers that be will do everything to avoid a hard crash, which would be so much earned.
How many years did Uber go markiing a loss ? Amazon similarly.
Amazon didn’t make a profit, they didn’t lose 11Billion a quarter
Uber used accounting tricks to hide their true losses for years. They’ve only recently managed to become profitable by squeezing both drivers and passengers at the same time. Is that sustainable? Almost certainly not, but, for the moment, they’re getting away with it.
this is not a bad analogy, but you are off by orders of magnitude
more importantly, both Uber and Amazon always had a path to profitability (Amazon specifically was already making tons of money on AWS long before the store front made money). AI has already been shown to not have a path to profitability; whatever little value companies around the world have been able to extract, cannot pay the cost of producing it.
think of it this way:
You produce a little car that can drive 2 people and some bags around, it costs you $1000 to make and you sell it for $3000 which a ton of people can afford… you have a path to profitability
I enter the market with a car that can carry 20 people, plus full on luggage for all and it moves twice as fast… but, in practice, I can only really move 3 people and often take them the wrong way, also the luggage was a complete lie and I can only allow passengers with their purses… also my car cost $50,000 to make so I would have to sell it for $70,000 and nobody would pay that when they could get 20 of your cars for less… also also, I promised the people making some parts of my car that would invest 7 kajillion on their companies somehow.
Which company would succeed? yours or mine?
Good.
Fuck AI, send it directly to hell.
AI is here to stay. AI is also in an unsustainable bubble. Both things are true
It’s useful. It wastes a lot of my time with its stupid bullshit. Both are true. 😆
Dotcom mkII
Well, browser usage is kinda dying off in lieu of apps :(
No I im the current “AI”.
Words do not compute. Issuing a $1T IPO to Sam Altman.
Its a bubble
Billions in investment. Trillions in speculation. All on something that makes less money than Genshin Impact.
Fun times.
More like a drain amirite???
