Just a few hundred billion more and I’m sure that somebody will figure out a profitable use for AI that isn’t scamming old people.
I can imagine one - maintaining adversarial interop with proprietary systems. Like a self-adjusting connector for Facebook for some multi-protocol chat client. Or if there’s going to be a Usenet-like system with global identities of users and posts, a mapping of Facebook to that. Siloed services don’t expose identifiers and are not indexed, but that’s with our current possibilities. People do use them and do know with whom they are interacting, so it’s possible to make an AI-assisted scraper that would expose Facebook like a newsgroup to that.
Ah. Profitable. I dunno.
This comment is underrated.
Make the internet ‘net’ again.
I’m more about separation of addressing data and data model from addressing services and service model for storing and processing it, to make those uniform, because in uniformity lies efficiency and redundancy and ability to switch service models, and uniformity inside proprietary services is already achieved, so in this case uniformity works for the people.
I mean, that’s probably what you meant, I’m being this specific to fight my own distractions and fuzziness of thought.
It’s porn.
It’s always porn that decides if a technology lives or dies.
Anyone remember the dot-com bubble?
I’m honestly hoping for a repeat. Hopefully Microsoft goes down this time too, since they’re heavily into AI. Twitter, Meta, Google and Amazon too. It’s really just the worst of the worst.
This makes the dot-com bubble look like a kiddie pool - at least those companies were trying to build actual products, while today’s AI spending is burning through more money than the GDP of most countries just to have the biggest model with no clear path to profitability beyond “trust us bro”.
This is no revelation. THEY KNOW. The play is obvious.
Not one these investors wants to risk missing out on being the next Google or FaceBook or Twitter or Amazon. They know damned well the vast majority will fail. They’re gambling on not being the one left holding the bag.
AI is here to stay, will continue to improve, and there will be a killer app, probably a dozen. My money is on life sciences, particularly medicine.
Chatgpt, what is sunken cost fallacy and why are rich people so profoundly stupid?
This is not that. They’re all hoping to be the next Google or FaceBook. They know damned well most are going to lose. The gamble is that they won’t be the one holding the bag when the bubble pops.
This is as high stakes as tech gets today.
It’s the most inefficient technology but praised as the most efficient because it simply runs on investor money. But that well will run dry eventually and who will bear the cost then? Consumers without jobs?
I think Meta’s AI initiative doesn’t run on investor money since they do share buybacks instead of selling more shares to keep afloat. Meta makes more than a hundred billion of revenue from selling ads on Facebook and Instagram. So Meta’s AI program runs on boomers clicking on ads that have been generated with AI.
Love that the pic associated with that link is Mark “Metaverse” Zuckerberg. A hallmark of successful dubious ventures, if any.
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All for it to fail and implode on its own weight.
Already starting to, at least for smaller companies and startups that were trying to use it to build things end to end.
If you use it to provide you with content, sure, easy no worries. building a website? sure no problem as long as it doesn’t require any sort of logins or security stuff. an application? well now you’re going to have some problems.
Most AI can’t scale something. and most are absolutely horrible at any sort of security. and all of them can’t UX themselves out a wet paper bag.
Now if you utilize them as a tool, a sort of rubber duck, sure they’re great. The issue is, and I’m seeing this first hand because of my job, is that many smaller companies and start ups aren’t doing that. They’re assigning someone, a “vibe coder”, to feed the thing prompts to build stuff from end to end. Naturally the end product is an insanely resource heavy, convoluted code, exploitable mess that can’t scale. It creates a massive amount of tech debt. All to save a couple grand instead of hiring actual devs. So now when I get a call or email from one of my contacts that “so and so’s company/start up needs someone to clean up their app because it’s very broken due to a vibe coder” I charge them an arm and a leg.
So you’re right, it is going to fail and implode on it’s own weight but I’m going to damn well be sure to take advantage of these people before it completely does and I encourage other freelance/consultant developers to do the same.
The hype for AI is ridiculous:
https://fortune.com/2025/02/19/hp-humane-deal-ai-pin-shutting-down/
They see Meta paying $200 mil or more to get a single employee and think about half that is a steal for a whole team of failed AI centric people
Could I ever pay you to help refine my coding ability? I need to talk it out with someone. My adhd makes reading things difficult.
I definitely hope so, like it will with dotcom bubble. If the bubble burst delays the rise of killer robots, then I am all for another economic recession!
Unimaginable amounts of money spent just to provide a free service to help improve the human race by sharing knowledge. Such marvellous gentlemen.
Proper AI or LLM?
Those numbers seem odd to me. I feel like the truth is 1 billion was spent on productive programmers and hardware. The small remainder of 154 billion was used to improvise profit growth through totally valid payment to some CEOs ego account.
Nobody seems to have noticed that the business model here is to funnel as much traffic and spend to the big AI corporations as possible with no foreseeable return (except vague nonsense about “productivity gains”).
Just wait until someone requires one of these things to make a profit, that’s when if you’re a corporation that integrated this shit deeply into your business, you’ll be covered top to bottom in rug burn from the inevitable rug pull of price increases.
that’s a lot of ephemeral tech jobs, hope everyone has plan B
You mean when the bubble bursts and there are lots of people who worked on this available on the job market?
I’d expect them to be big data specialists, mostly knowledgeable in Python and matrix operations, narrow optimizations needed there, and not very competitive for other typical tech specialties.
They’ll just have to become data analysts, assistants in labs working on things like genome analysis, and so on. Perhaps medical RnD will get a boost due to all the willing slaves, LOL.
Spend it all and fail
Where they get their money from ?
