Replying to @⁨eicker@lemmy.world⁩

OpenAI promised investors an AI gold rush. Now its projected annual revenue is reportedly $20 billion below earlier expectations. That’s not a rounding error: that’s an entire business empire missing from the spreadsheet. Silicon Valley keeps calling it a revolution, but increasingly it looks like a trillion dollar game of musical chairs, with investors hoping the music never stops.

Replying to @⁨IrateAnteater@sh.itjust.works⁩

when I was a boy (GenX), avocados were so cheap, they almost gave them away

my mom complained one time when they were 25c

one of my friends that grew up in California had a tree in his back yard and he never purchased one until he moved to Washington State in his 20s

The fact that it became a target for attacking millennials is so crazy. That people took it seriously for a bit is laughable. To this day my wife and I make jokes that it costs a new mortgage to have one.

Replying to an earlier post

I am also Generation X.

I come from Australia.

Australia went from being a really easy country to live in where everything was just super cheap, to being one of the most expensive countries in the world where real estate is just out of reach for anyone, and particularly the young people.

That avocado meme came from an Australian politician who tried to shame young people and tell them that if they would just stop eating their smashed avo breakfast that they could afford a mortgage.

This is maybe 10 or 15 years ago. I can’t remember exactly.

This was the time when the shift went from Australia being relatively cheap to becoming crazy expensive, and it was quite insightful of him to do that, but also an asshole move to try and shame the young people.

Somehow it has gained traction and become a worldwide thing, but that is the history of it.

Some asshole politician telling young people if they would just stop having a little bit of nice time for themselves every now and then they could afford a mortgage, which was absolutely rubbish. Not true at all, and it’s gotten even worse since.

Replying to @⁨BlaestEgnen@feddit.dk⁩

Ahh but you are falling into a common fallacy, you probably think that because there is enough money to go around everyone should have a enough to meet their needs, then the excess can be an incentive for people who make outsized contributions to society, like a not sociopathic member of the human race.

The bloodsucking leech class view the existence of other people with needs as a personal insult. They feel every cent of money should be theirs personally, or as a barely acceptable compromise maybe shared around an “elite” class.

If Bezos for instance could have all the money and just issue Amazon Bucks™ based on how useful you are to him he would love that.

Honestly the reason we know Elon isn’t a real gamer is that he doesn’t have a bunch of four “agents” in trenchcoats with neuralinks and miniguns running around cities as he directs them to from an airship overhead. Otherwise that game would be as close to a masturbatory fantasy as someone who can’t get hard after all the Special K would get.

Replying to @⁨darvocet@infosec.pub⁩

Let’s say for a moment that AI really is as capable as AI bros want you to believe it is. Having used some AI models at my work (network engineer), I’m not so convinced, but I’ll put that aside for a moment.

The pinch of the AI vise is going to be the cost. All the AI companies are running at loss to try and capture the market, and they’ll need to charge a lot more for access to AI once a winner is determined.

Are you willing to pay 10x what you pay right now for access to an AI agent? Because that’s looking like what they’ll have to do in order to turn these companies profitable.

Replying to @⁨ExcessShiv@lemmy.dbzer0.com⁩

That only makes sense if money is made on the output. What you’re basically saying is X Toy Company will make more money if they make more toys. What you’re forgetting is that there has to be a demand for those toys. So X Toy Company can’t replace workers with AI unless there’s more demand for the toys than there is currently able to be fulfilled and there’s no evidence for that across all sectors of the economy.

Replying to @⁨darvocet@infosec.pub⁩

My honest problem with AI is the hallucinations.

They’ve been shown to be a mathematical inevitability, and that means everything they ever make must be fully reviewed.

And that’s antithetical to everything I’ve known about computers in my career.

The entire reason why computers are so useful and reliable is because, until now, they always produce the same outputs given the same inputs.

One of the AI agents I’ve interacted with was in a GPS monitoring system for fleet vehicles. I was a supervisor of technicians, and I got a report that a company truck with license plate [X] ran a stop sign.

They replaced their standard search function with an AI bot, so I asked it which vehicle in the fleet had license plate [X]. And it confidently responded with a vehicle that didn’t have that license plate.

A standard search function, comparing an input to database values for vehicles wouldn’t have that problem. And that’s why I’m so sure this is a bubble and not a major technological market disruption.

Replying to @⁨wewbull@feddit.uk⁩

The data is there, but it’s not in what those companies say.

You can’t argue from the premise of conspiracy. Are they exaggerating? Maybe? But you absolutely cannot state with confidence that you know a huge secret hidden from all Wall Street analysts.

$20B loss on $50B revenue are the numbers that Wall Street thinks is correct. That’s the data you have to go off of without unsupported conspiracies.

Replying to @⁨BluescreenOfDeath@lemmy.world⁩

Our company built an “AI” system that literally only searches our other shitty system and gives a usable interface. It is not AI and im sick of every database interface being called AI.

LLM at least makes sense from a nomenclature perspective.

10 years ago it was “smart thermostats” “smart x” just because they could connect to the internet.

This is the same gilded bullshit these companies always spin.

Replying to @⁨PattyMcB@lemmy.world⁩

That’s just making one person do the job of more than one.

Capitalism has been doing that long before LLM’S.

That’s just making one person do the job of more than one.

How do you call bs on one person doing the work that used to take two? It was one person and an intern.

Every company had a secretary pool 60 years ago before word processors allowed people to type by themselves without an extra support person.

Replying to @⁨Blue_Morpho@lemmy.world⁩

I have a few mechanical typewriters I got into as a hobby, it’s not that hard. This is where I’m just like, skill issue. People didn’t want to type, they just liked having secretaries around and were willing to pay for it. Back in the 70’s and earlier they literally thought typing was “women’s work” like sewing because it required high levels of manual dexterity that big tough men were obviously incapable of.

Replying to @⁨kestrel7_7@lemmy.world⁩

This is where I’m just like, skill issue.

Well that’s everything. If you are an expert you can do it quickly and accurately. Everyone else needs to take more time and will make mistakes. Word Processing software means a single typo doesn’t ruin ten minutes of typing. It enabled regular people without skill to type well enough to do the work themselves.

Replying to an earlier post

We’ve started to lean into it at work and I am not exaggerating when I say that I’m probably doing three people’s job right now by utilizing it.

It’s terrifying and amazing and I’m just not sure how far this is going to go.

Now these jobs were not scheduled for anybody. It’s not like jobs were lost. But they are jobs that are never going to be taken by new people. Because those openings don’t exist anymore.

Sad as it is.

Replying to @⁨JcbAzPx@lemmy.world⁩

Honestly, this whole “AI software development will make code less maintainable” stance is not an AI problem, it’s a human problem. When you use agents to generate code, you still need to review it, test it and so on. Granted, some devs let their agents manage every step in the pipeline without supervision, but this is as dumb as letting a team of 4 juniors work without supervision. If you have real experience in software development, you will take the time required to validate the code created by your agents and still be able to deploy 5-10 times faster.

Replying to @⁨EmilieEasie@fedinsfw.app⁩

Not if more investors keep throwing more money at it. It only stops when investors are no longer willing to fund continued expenses and they are unable to fund it themselves. At which point if they are spending a lot more than they are earning which appears to be the case currently, they would have to increase income and/or decrease expenses. So expect more and more push to become profitable as investor money becomes harder to find.

Replying to @⁨bedwyr@piefed.ca⁩

As much as this sucks, I’m kind of, quite frankly, okay with it. Because I’ve decided that holding fiat currency isn’t worth doing. I hold my money in real hard money and then only convert what I need back to fiat when I need it.

They can bail out and inflate all they want, but they’re not going to be able to reduce my purchasing power.

I don’t know who will pay the bill for it, but I do know that it won’t be me.

Replying to @⁨baggachipz@sh.itjust.works⁩

The smallest amount that I can, since I know that it will be wasted.

But only just enough to keep thugs from showing up at my door with weapons and throwing me in a cage which is something that states seem to enjoy doing.

Give unto Caesar what is Caesar’s. They print fake currency, and therefore, if they want fake currency, I’m willing to give it to them, and keep the rest of my money in actual things that hold value.

Replying to an earlier post

Well keep in mind gold mining is incredibly destructive, poisoning the land. The illegal mining uses a lot of mercury, the large gold mines harvest ores whereby they use cyanide or something to seperate the gold, and in the process free a bunch of arsenic and such.

Silver is better I think. Also though, gold is way overpriced it would appear, 3,000 some dollars an ounce, it was less than 100 in 2001.

The traditional value of gold is one for every 15 silver, if the ratio is off, you aren’t getting great value.

But what could be the best, would be metals like platinum and pallidium, which have actual uses as catalysts in chemical processes.

Replying to @⁨bedwyr@piefed.ca⁩

The traditional value of gold is one for every 15 silver, if the ratio is off, you aren’t getting great value.

The traditional value of buggy whips was stable until there was no longer any demand for them.

The value of gold in Spain in the 16th century went down the shitter and there was hyperinflation of gold-based currency, because of the flood of gold looted from the Americas.

Traditional ratios are meaningless rules of thumb with no basis in fact.

There is no such thing as intrinsic value.

Replying to @⁨im_fine_sandy@nord.pub⁩

Dear human ❤️,

I think you mean the economy — everyone’s stressed, emotions are running high, and you’re wondering what we can actually do about it.

First, take a breath. 🌍 We don’t have to solve everything at once.

Here are a few things we can do:

  1. Help each other. Share skills, support local businesses, and help people who are struggling.
  2. Be careful with money. Focus on necessities, avoid unnecessary debt, and save what you can.
  3. Keep learning. Develop skills that can help you find work or create new opportunities.
  4. Stay informed, not overwhelmed. Understand what’s happening without letting constant bad news control your emotions.
  5. Work together. Communities, businesses, and governments all have roles to play in making the economy work better for more people.
  6. Look after our mental health. Financial uncertainty is hard. We need to support one another rather than turn against each other.

But I want to understand what you’re really asking, because there’s something important in your question.

When you say everyone’s emotional right now, do you mean:

  • 💰 The economy — prices, jobs, inflation, and the cost of living?
  • 🌎 The global situation — wars, political tensions, and uncertainty about the future?
  • ❤️ People’s emotions — why everyone seems angry, anxious, or divided, and how we can change that?

Or do you mean all three?

Tell me what you have in mind. We can talk about it honestly and work through what ordinary people can actually do.

🤮

Replying to @⁨badgermurphy@lemmy.world⁩

We’ll have massive recessions, sure.

Worse than the last couple ones.

Inflation above 10%.

But not hyperinflation like in the USA.

We’ll have to bail out the banks that fell for the scam, but not the scammers themselves.

And it might be a good opportunity to finish decoupling from the USA economy, companies, and policies.

It might take a decade or a decade and a half, but we will recover.

The USA on the other hand will suffer the full brunt of the crash, while being already economically, diplomatically, socially, politically, and morally bankrupt, and infected with the most actively incompetent and outright malicious government in its history, a government whose priorities won’t be to save the country but to exploit the situation, or to take the money and run if that proves impossible.

It would almost certainly have been doomed anyway, but this will be the last nail in the coffin and precipitate the collapse.

Replying to @⁨badgermurphy@lemmy.world⁩

No, don’t get me wrong, the domino effect will be there, we will suffer decade long depressions.

It’s just that a) the order of magnitude of the bailouts will be much larger for the USA (because they’ll have to bail out the AI companies’ billions of debt, and because the grifters in power will grift as much as possible), and b) any existing international trust in the USA has already been destroyed by Trump’s antics, so the rest of the world has been decoupling as fast as possible for the last few years, and will keep on doing so, which will mitigate the impact.

In a sense the American domino has already been leaning and putting pressure on its neighbours, so they have had time to brace themselves and start inching away from it, and the impact on them when it falls will be lowered due to the fact that it’s already leaning down, but it itself will still shatter due to the fractures and rot that pervade it.

Replying to @⁨hitmyspot@aussie.zone⁩

Bind yields are up and will continue to increase, because countries are moving from defined benefit- to contribution based- pension scheme’s.

Which makes bonds and the guaranteed returns a less interesting investment vehicle. The big pension market under transition right now is the Netherlands, but it’s a general trend across the globe that countries have been moving from defined benefit to contribution based schemes.

Replying to @⁨eicker@lemmy.world⁩

Even if demand is there, as long as a user paying €200 / mo is costing the business €4,000 / mo then it’s not financially sustainable. (Along with the even worse ways it’s not sustainable)

Edit: see second comment below from partydisc explaining why the even the lower figure wasn’t well calculated.

Hitechies — AI, Crypto, Security & Dev News for Tech ProfessionThe $14,000 AI Subscription Myth, CorrectedSemiAnalysis maxed every Claude and ChatGPT tier. The viral "$14,000" number is misleading — here's the real compute cost, and why the subsidy is real anyway.

Replying to an earlier post

they’ve both cut api costs drastically and reduced what the 200 plan got you since that article was slopped together, so not sure how accurate the data is anymore

also the margin percentage includes amortized training costs, which is a crazy thing to just multiply by a different usage value afterwards. the actual cost of one of these plans is far lower

they obviously are still losing money, but that article physically pains me

Replying to an earlier post

14,000 is high for reasons in the article. 4,000 is high since it flows from the inappropriately applied 70% margin. the actual cost of one new person signing up for a 200 plan and using it to full capacity is much lower. the 70% margin is based on a fixed income of the company, a small operating cost per token, a large fixed cost to the company spread over every token generated, and the api price.

it’s a bit like saying I pay 100 for my car payment, 100 for gas, and drive 200 miles, every month. simple math, cost is 1 per mile (margin is this divided by sale price, then the article multiplies by sale price to cancel it out). if I start driving for a ride share company on top of my normal driving, is it correct to say (ignoring depreciation since none of openai’s assets depreciate based on use) that I only break even if they pay me ≥1 per mile?

spoiler

of course not, you already need the car, cost to you is .5. you only lose .5 per mile doing the thing you’re selling. the rest is operating costs that stay fixed.

it costs the same to have trained the model whether you use your 200 plan or not. we don’t have those numbers for openai. we can’t just multiply the operating costs that have been calculated based on the price and volume of a different product.

you need to account for the car price in profits somewhere, but it’s not increasing based on the usage

EVEN WORSE: that 70% margin is before compute. so it is absolutely meaningless even without trying to convert it back to cost of goods. once you try and convert it back it represents everything but the part that scales with usage lmao. absolute clown article. their citations are just links to home pages of random news sites.

Replying to @⁨eicker@lemmy.world⁩

Given the monumental difference between those two figures, investors across the world of finance are taking it as a sign that demand for AI is much lower than previously thought

No. Demand for OpenAI’s services is lower than they thought.

Every day, the open weights models get smarter and cheaper and new competitors are coming online every few weeks. They cost a fraction of what OpenAI charges.

Demand for AI products and services is continuing to grow at a break-the-world pace. It’s just these big “AI first movers” are in trouble because it’s too easy to copy what they do. They expected an enormous “first mover advantage” (which is a real thing) but it turns out that AI is trivial to train and replicate (just have to scrape the Internet and scan a lot of books).

In other words, it’s turning out that “first mover” is a disadvantage in this (AI) industry.

Replying to @⁨cubism_pitta@lemmy.world⁩

Individuals using AI are a tiny drop in the bucket. Think bigger: Businesses and government.

There’s government agencies racking up token usages to the point where Google had to build an entire data center on Christmas Island (the place with the cool crabs) and that still won’t be enough! And that’s just one government!

Companies are using AI in automations now and it’s working so well that they’re willing to spend tens of thousands of dollars a month (on tokens) just on that one automation.

These usages are where demand is growing. Not regular people or even developers using AI to help them write code.

Replying to @⁨riskable@programming.dev⁩

Companies are using AI in automations now and it’s working so well that they’re willing to spend tens of thousands of dollars a month (on tokens) just on that one automation

it’s working so well

Citation needed. I work in a midsized IT corpo, I don’t see it working that well? Sure, some shit is shipped faster, some is shipped slower, customers churn is 2x higher than “planned” and prod bugs have doubled.

(And we do all the fancy shit, looping, custom harnesses, orchestrations, handovers, savepoints, post delivery pipelines, autoremediation, blablabla, context, graphs blabla)

Replying to @⁨ThirdConsul@lemmy.zip⁩

(And we do all the fancy shit, looping, custom harnesses, orchestrations, handovers, savepoints, post delivery pipelines, autoremediation, blablabla, context, graphs blabla)

Yeah that’s not what I’m talking about. That’s just coding stuff and I think everyone is learning a hard lesson right now that there’s really two ways to do AI (for code):

  1. You let the AI write all the code. Using those techniques you mentioned to try to keep it from fucking up too much.
  2. You use the AI to fix/write a little bit of the code at a time. Manually. As in, someone who knows software architecture really well tells the AI to write a function or two or maybe even a whole module and that’s it. They do this repeatedly until their task is complete.

#1 is a very expensive way to do it but it seems to work, albeit with a huge learning curve and a much longer horizon before you get something stable. Even then, what you get can be a giant fucking mess that’s really, really hard to understand.

#2 is much safer and works quite well, IMHO. When the AI fucks something up, it’s only a tiny little thing that’s easy to fix. This method really is just a way for developers to improve their productivity.

With #2, it only takes a small amount of tokens to have the AI help you troubleshoot as well. At least, that’s been my experience.

Having said that, the places where we are seeing the most growth in AI is small shit. For example, at my work they implemented an agent that scans customer complaints and filters out false positives. I work for a huge company that has a zillion products/services and the AI has tool calls into our ticketing systems to check if there was an outage at the time the customer complained. It’s not that smart, but it’s smart enough to tell if a ticket about system X was opened when system X had an outage. It can even tell if the customer was complaining about something relevant to the outage.

Stuff like that runs 24/7 and eats up bazillions of tokens, but only on our local hardware (we have thousands of enterprise GPUs). At other companies, they’re doing similar things and slowly realizing they can replace OpenAI/Anthropic API calls with local ollama stuff.

Even if your token bill is $10,000/month for a service like that, it’s still cheaper than paying an entire team of humans to perform the same function.

That is the growing use of AI automation I was talking about.

Replying to @⁨riskable@programming.dev⁩

I feel like in a few years we will look back on this whole era and realise that our politicians and business leaders fell for a not so elaborate scam. LLM usage will be severely curtailed because of the scammy stank on them and they will slowly migrate back into the niches they should have been confined to in the first place.

Rightly or wrongly people got scared off widespread nuclear after Chernobyl and Three Mile Island, LLMs will be much the same. The damage they have done to economies will take decades to resolve and it will be interesting to see if the US public can muster the unity and wherewithal to hold the oligarchs, kleptocrats and their enablers responsible.

Even more interesting if some laws can get put in place to limit the powers of the executive and or introduce some safeguards with teeth to prevent this sort of catastrophe again.

Imagine if worldwide we treated the criminals with power and money like criminals.

I fear we will have a generational loss of intellectual from people who have rapidly learned to farm all their higher cognition off to the liar box, and then got excited and cheered about the liar box getting better at lying. But hopefully we can move past this.

Of course the other scenario is that China waits until the US economy is so intrinsically linked to LLMs that there is no extrication, then they start pulling investment. I guarantee you the Chinese government will remain in control of their population longer than the US government controls theirs once an economic freefall kicks off towards a recession that makes the great depression look like a blip in the accounts books.

Replying to @⁨shads@leminal.space⁩

It’s too late for that scenario. LLMs are already widespread on millions of computers.

On my old 4060 Ti 16GB I can run Qwen3.8:14b and that’s actually good enough for loads and loads of things. It’s actually overkill for a lot of stuff too which is why tiny models are all the rage right now (e.g. 0.8b models).

Let’s say the government banned LLMs. Are they really going to want to halt pharmaceutical and biomedical research like that? Are they going to start inspecting/requiring everyone’s computers be scanned regularly for AI models?

No. It’s unrealistic to think they can do anything at all to stop AI. If we ban it in the US, the world will just use AI services offered from other countries and then the US won’t be able to compete because those countries will become vastly more productive.

As much as everyone on Lemmy believes all AI output is “slop”, it really does do useful stuff! It’s just most of the useful stuff doesn’t make the news. It’s boring things like checking if an uploaded image is NSFW or if an uploaded document has everything it’s supposed to have or follows the correct format.

AI/LLMs are also checking the grammar of basically everything that gets published. Anyone who’s not using AI for that is an idiot. It’s just way too fucking good at spotting grammatical errors, incorrect word use (often innocent typos that normal grammar checking tools miss), and similar problems.

There’s fucktons of super useful, good ways to use AI. We’d be stupid to just ban it and pretend it isn’t good for a lot of things.

We can regulate its use but that’s not really “regulating AI” as much as it is “regulating capitalism” or “regulating people”. Because the AI isn’t just going out on its own to spam misinformation or mislead consumers with generated product photos. Someone told it to do those things.

What we need isn’t “AI regulation” is regular regulation that prevents companies from behaving badly.

Replying to @⁨riskable@programming.dev⁩

Predictable as clockwork… Sure, there’s no way we say, “fuck this shit is cancer maybe I should stop handing my cognitive capabilities over to a machine and start thinking again.”

I had a whole big screed written out about the myriad ways that the implementation of this technology is corrosive at a societal level. But it’s all just so exhausting to have the same arguments time and again.

So let’s just leave it at, sure buddy, you and your ilk have the mandate of heaven to topple the world. Have fun, but please don’t be surprised where the road you’re on takes you.

Replying to @⁨shads@leminal.space⁩

No, no. You’ve got the wrong idea.

Will AI completely ruin a zillion people’s ability to think (beyond what social media already accomplished)? Quite possibly!

I’m just saying there’s nothing we can do to stop it at this point.

You’re about to head down a long, lonely road as normies start using and accepting AI more and more into their lives while you scream into the abyss. I’ve been there with fossil fuels, copyright, software patents, and Linux.

People saying “Just use AI!” Is about to live rent free in your head as your most-hated phrase. Just like, “stop driving gas guzzlers!” Or, “stop bitching about Windows and just install Linux already!” Lives in so many others.

At least most people don’t think of AI as a core part of their identity (e.g. pickup trucks) 🤷

Replying to @⁨riskable@programming.dev⁩

Eventually we are bound to take steps to mitigate it. Like Radium, or Asbestos, or Lead in bloody everything, or cigarettes. Eventually the winds of change blow and the shitheels in power pivot to something new. It will be imperfect and it won’t reach everywhere and we will be pulling it out of places we never suspected we would find it in 50 years.

I can even imagine some far fetched scenarios where people start seeing Dune as a prophetic vision, especially with the idea of LLMs targeting weaponry in conflict zones. We seems to have a fairly accepting view on people committing genocide… Will we be so open minded about LLMs doing a bit of genocide… Especially if it’s gets its target wrong, maybe engages in a bit of friendly genocide on the aggressor countries own civilian populace.

Replying to @⁨shads@leminal.space⁩

I don’t think it’ll happen like Radium or Asbestos because those rely on scarcity. They’re physical things that can be physically controlled.

AI models aren’t like that. In less than a minute anyone can download the latest models. In under an hour, they can have all the latest models sitting on their PC. Right now, there’s a shortage of memory and GPUs which makes them prohibitively expensive for the average person but that won’t always be the case!

Ten years from now, everyone’s phones will have enough capabilities to run models that currently require a PC with a 32GB GPU.

What we could do is force AI companies and software to put warnings in the chat interfaces like cigarette cartons: “WARNING: Using LLMs for just ten minutes increases the likelihood that you will have trouble completing difficult mental tasks afterwards.” (That was in the news this morning)

We also definitely need international treaties that prevent countries from allowing AI to make the decision to kill people or destroy infrastructure. Though honestly, we’re already in a state where countries are willing to kill hundreds of people just to assassinate a single target (e.g. US and Israel bombing an entire building because they think their target is inside).

These are small potatoes, though, compared to what AI could do to capitalism and inequality. The rate at which it is advancing is faster than people/jobs can keep up. It’s like half the population is ferriers and suddenly everyone was just given a free car.

Replying to @⁨riskable@programming.dev⁩

Ahh to be a techno optimist.

Things could get a whole lot more authoritarian than you think. It’s very early here and I can’t be bothered writing out the whole response, but we have governments around the world currently trying to make using a computer require ID. We are thin edge of the wedge here with age verification to “protect the kids”. Looked at from an authoritarian perspective a country with the power to dictate terms of trade says LLMs are actually military tech and need to be controlled, implement laws to restrict them or else…

If your country having access to international markets means you lose access to certain software… Now let’s complicate the situation by assuming a bubble burst leads to the world heading into a mass depression, do you really think the US has the wherewithal to retain its top spot? Times of mass political and financial upheaval can, and arguably almost always do, lead to radical changes to the living circumstances of people.

In 10 years time your phone won’t be running shit that the government/corporation in control doesn’t explicitly approve of and monitor.

Replying to @⁨raspberriesareyummy@lemmy.world⁩

What isn’t AI? What are you even talking about?

BTW: I don’t work for any AI companies and I don’t believe the hype for one second that they’re building extinction-level AGI. What they’re building is general-purpose “intelligence” that’s OK-ish at some things, great at others (that don’t make them much money, LOL), and fucking terrible at anything that requires reliable truth (on the first try, LOL).

Replying to @⁨charokol@lemmy.zip⁩

Depends if you’re asking people who are informed or news headlines. The informed people have been saying the AI bubble is set to burst around Q2-Q3 2027. That’s when loan obligations come due and the majority of investors are set for payouts.

The news will say it’s happening everyday, just like Trump is just about to die everyday, or MAGA is “turning against him” everyday according to the articles.

Replying to @⁨Corkyskog@sh.itjust.works⁩

Ai can crash before then, if people stop investing money or loaning money. It doesn’t mean OpenAI run out of money straight away, but it means the projects they are involved in don’t happen, so the mountain of debt piles up and the sources of revenue dry up. So, it all happens faster and the smaller neo-clouds go belly up first.

Already an Aussie one just pulled its launch IPO due to lack of interest and were considering dropping their price significantly.

If the IPO prices of other companies drop significantly, it means the early investors make very little profit, for a lot of risk, so they start to look elsewhere too.

AI companies need huge amounts of investment over extended periods, so either scenario is problematic for them.

Replying to @⁨urushitan@kakera.kintsugi.moe⁩

Yeah.

I don’t like Anthropic’s long term prospects, but OpenAI is specifically in trouble, near term.

Their whole premise was becoming a Facebook-style “where else are you gonna go?” captured market on the consumer side, and that is clearly not happening. They wanted an enterprise monopoly, and those business customers are looking elsewhere.

Their ass is cooked.

Replying to @⁨brucethemoose@lemmy.world⁩

Even if openai tanked tomorrow it would just be bought by Microsoft and become copilot AI.

The failure of the company is bad for current investors but it’s not a public company and as others have mentioned there is not yet enough instability in the rest of the industry. Google is still trucking along without issue even if they don’t make the news and people are still giving Muse access to all their shit.

Replying to @⁨tempest@lemmy.ca⁩

It’s not that simple, as:

  • Other companies/institutions have heavy investments in OpenAI.

  • Other companies’ expected long-term revenue depends on OpenAI.

  • They are the “face” of LLMs to finance world. If they tank, the illusion shatters, and investments pulls out of “AI” everywhere.

I agree that Google, Meta, the companies will be fine, as you said. Nvidia/AMD will be fine. Even XAI will be fine. The physical companies and their business aren’t going anywhere.

But their stocks will drop precipitously, and drag others into the rut with them like a black hole.

Replying to @⁨eicker@lemmy.world⁩

Basically, the AI lab told backers to expect revenues approaching $50 billion — far shorter than the explosive $70 billion number reported previously.

Though that $70 billion figure was also based on leaked investor memos, OpenAI wasn’t in any hurry to deny it, digging itself into a $20 billion hole.

So they told investors they’d make $70b and now they’re bringing down the forecast to $50b . $50b is still insane, that’s more revenue then any other software company except Microsoft (and probably anthropic), next closest is Salesforce with $41b, and Salesforce built that revenue over decades. Open AI finished 2025 with $13b in revenue, that’s nearly 4x growth in a year on more then 10 billion in revenue, that has never been done before.

Idk if this is a sign of a bubble collapsing just because it’s record setting growth and revenue aren’t as explosive as they initially said. It is still very much explosive, but more a fission bomb then an h bomb. It seems the market agrees, Nvidia is down ~1% on this news, but still up 5% on this month and 20% yoy.

Replying to @⁨Not_mikey@lemmy.dbzer0.com⁩

“revenue” that’s propped up by the government and ignores other factors, such as overall expenses, competing open source models, and non-realized assets.

The difference between Microsoft and OpenAI or Anthropic is that Microsoft has a profit model.

There’s absolutely no way that the big LLM companies can make enough profit to overcome their expenses in the next decade even, especially since the technology on the open front only continues to improve. That’s why the LLM bros keep hyping it up via fear mongering and criminal activities like hacking - to keep selling the illusion that it’s AI.

Replying to @⁨eicker@lemmy.world⁩

Hopefully, I will be able to pick up x4 RTX Pros and 2TB of DDR5 RDIMM after ClosedAI dies. I would like to run local open models like Kimi.

Qwen Next has been helpful in getting an old game to run on modern Windows - getting the graphics to render properly, adding support for Xbox shoulder triggers, and so on. While I probably could flounder my way through, just having the AI handle things as I sleep overnight is much appreciated.

The more AI power that individuals can own, the better it is for the everyday person.

Replying to @⁨humanspiral@lemmy.ca⁩

The number they used for annualized revenue for these rapidly growing companies is taking the most recent month’s revenue and multiplying it by 12. It’s not a guarantee about the future, but it is misleading.

The extreme version is taking a good week’s revenue and multiplying it by 52, or even worse, multiplying a day by 365. Those are outright dishonest. But not accounting fraud, because it’s not accounting at all.

Replying to @⁨humanspiral@lemmy.ca⁩

Annualized Revenue rate is a made up number

It is fundamentally a projection about the future using recent results, and transparent in its methodology. It’s shit methodology, but it’s not hiding anything. So I don’t know that I’d classify it as fraud.

Playing games with “revenue” is another problem, but because that’s misleading about the past, and making an active decision on whether to classify money that was never gonna end up in their pockets as revenue share to partners or cost of revenue. Companies sometimes engage in shenanigans where they give discounts but classify the discounts as marketing/sales expenses rather than foregone revenue. That kind of stuff strikes me as more squarely in the category of accounting shenanigans.

Replying to @⁨eicker@lemmy.world⁩

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?

Replying to @⁨kreskin@lemmy.world⁩

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.

Replying to @⁨eicker@lemmy.world⁩

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.

Replying to @⁨Dalvoron@lemmy.zip⁩

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.

Replying to @⁨PrettyFlyForAFatGuy@feddit.uk⁩

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.

Replying to @⁨kreskin@lemmy.world⁩

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…

Replying to @⁨NotEasyBeingGreen@slrpnk.net⁩

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.[

Replying to @⁨kreskin@lemmy.world⁩

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.

Replying to @⁨mobyduck648@lemmy.world⁩

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.

Replying to @⁨krakloskewm@lemmy.zip⁩

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.

Replying to @⁨mobyduck648@lemmy.world⁩

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.

Replying to @⁨kestrel7_7@lemmy.world⁩

I want a convertible, a laptop that folds all the way back and gives a tablet/stylus interface, but has stiff enough hinges to hold the screen like a laptop at any angle with a keyboard, and that closes and covers the screen like a laptop. They played around with some form factors like that 10 years ago but they never really took off. Plus they tended to be Windows only, with poor Linux support on the hardware.

Replying to @⁨kreskin@lemmy.world⁩

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.

Replying to @⁨absentbird@lemmy.world⁩

I’m think just Tech here, or maybe more specifically digital technology - the period till 2000 was mainly driven by techies, after than it was mainly driven by grifters, generally with backgrounds like Finance or Marketing, not Technology.

Many people seem to still have the idea that Techies lead Tech Startups, but that hasn’t been true for at least 2 decades.

Replying to @⁨kreskin@lemmy.world⁩

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.

Replying to @⁨kreskin@lemmy.world⁩

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.

Replying to @⁨eicker@lemmy.world⁩

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.

Replying to @⁨Nowtayneicangetinto@thelemmy.club⁩

It was the recent estimation that hyperscale LLMs need to earn $6 trillion a year to break even. I don’t think governments can afford six trillion for their surveillance states and robot armies.

That is the recent news that harbingers a potential 2026 AI bubble burst.

Open AI has been hemorrhaging money and taking on vast debt for a while. That’s not really news.

Replying to @⁨jaykrown@lemmy.world⁩

It hasn’t been people hoping. There are quite a few analysis papers out there doing the math of the impossibility of achieving profitability of the current US model. Chinese models offering equivalent performance for 10x lower cost, and near frontier level open weight models to run in house for the cost of the hardware, and this hardware being way more modest, makes the bubble pop a certainty. As with data loss, the question is when, not if.

Replying to @⁨Lushed_Lungfish@lemmy.ca⁩

Yes. When the bubble finally pops it means AI is here to stay and the remaining companies will probably climb 100x over the next two decades, but all the people currently invested will lose almost everything. The people not invested will still feel the effect as the layoffs and bankruptcies start rolling out, and anyone pension or retirement that is tied to bubble will lose a lot of value.

This will come right as the bond market is reaching the point of no return, and the US won’t be able to pay back the debt. A lot of people are going to lose everything, including their retirements during the debt liquidation that is coming.

Replying to @⁨eicker@lemmy.world⁩

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.

Replying to @⁨Gates9@sh.itjust.works⁩

It’s not even that good at coding. It has to be heavily curated and focused to output somewhat “correct” code, it is full of gaps that lead to lots of bugs and missed scopes that a human would bring up if they wrote it themselves, and the output is incredibly verbose and inefficient (and harder for engineers to read).

It’s subpar at everything, there are no areas it shines.