- You have to make money to lose money. 
- *bubble pop! 
- 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 
 
- 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. 
 
- I bet this is amazing for tax write off. With their already ridiculous tax break, this should pair well with it. - That’s like saying you’re glad you got paid less because that means you’ll pay less taxes. - I understand how dumb it sounds, but many companies benefit from losing money, but it doesn’t mean they are broke. - No, OpenAI is sustained by investment money, not actual revenue from products. 
 
 
 
- Its a bubble - Billions in investment. Trillions in speculation. All on something that makes less money than Genshin Impact. - Fun times. 
 
- Is that why MSFT dumped like 3.5% today? 
- Lol 
- Good. - Fuck AI, send it directly to hell. - AI is here to stay. AI is also in an unsustainable bubble. Both things are true - No I im the current “AI”. 
- 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 :( 
 
 
- Words do not compute. Issuing a $1T IPO to Sam Altman. 
 
- What’s the deal with the “HPE” in some Register articles? It’s apparently the Hewlett-Packard Enterprise logo, but articles about HPE don’t appear to have that logo. - Is The Register affiliated with HPE now? 
- The whole “AI” thing is one big grift. - I agree, and essentially they used slightly reworked old neural network technologies, increasing their power with the help of data centers. 
 
- Wow. Glad they just converted to a for profit entity! Can’t wait for them to unleash all this success on to the the general financial market. 
- And that is probably only the beginning. - AI crash will be 11X bigger than subprime mortgage crash, also driven by mass stupidity. - The next movie will be titled: * The Big Shart* - This guys is jacked…jacked to the tits.  - You too will soon be able to buy an abandoned datacenter for just $1,000. - Think of the gaming GPUs! - The GPUs are basically proprietary to the severs which are near proprietary to their racks/setups. I spent a few months on a contract quality testing new Nvidia graphics severs being assembled by a a Taiwanese company here in the states. From the liquid cooling built into the $2-4 million dollar rack to the proprietary network/data cables to transfer the information at the speeds they do, most people would have no way to use them. 
 
 
 
 
- Maybe, just maybe, the bubble started bursting now. - I wish. Even knowing it’s all a gigantic scam, they’ll first protect themselves before letting it burst and screw everybody else. The rich get a buffer period. - Is it really a scam when it creates content? - It may be slop to you, it may not be useful for everything they market it as. - But plenty of people find it useful, even if they use it for the wrong things. - It is not like cryptocurrency, which is only used by people who want to get rich from it. - But plenty of people find it useful - Plenty of people don’t properly wash their anuses too. Plenty of people think our planet is flat. 
- Is it really a scam when it creates content? - No one is claiming that it doesn’t output stuff. The scam lies in the air castles that these companies are selling to us. Ideas like how it’ll revolutionise the workplace, how it will cure cancer, and bring about some kind of utopia. Like Tesla’s full-self-driving, these ideas will never manifest. - We’re still at a stage where companies are throwing the slop at the wall to see what sticks, but for every mediocre success there’s a bunch of stories that indicate that it’s just costing money and bringing nothing to the table. At some point, the fascination for this novel-seeming technology will wear out, and that’s when the castle comes crashing down on us. At that point, the fat cats on top will have cashed out with what they can and us normal people will be forced to carry the consequences. - Exactly. Just like the dotcom bubble websites and web services aren’t the scam, the promise of it being some magical solution to everything is the scam. 
 
- creates content? Out of what? I dont deny that there are some use cases for ai that are good, but ultimately its all built on backs of people who have actually contributed to this world. If it was completely non-profit it would be more okay, but as it currently is ai is tool of exploitation and proof that law protects only the rich and binds only us. - ultimately its all built on backs of people who have actually contributed to this world - Being highly unethical doesn’t make it a scam. - scam is kind of oversaturated word nowdays 
 
 
- Is it really a scam when it creates content? - I create content in a ceramic bowl twice a day. Give me a billion. - The scam is that the business plan is not feasible. Hundreds of techs have died because some cool idea could never make real money. - And this is the finance model:  
- It’s not that it’s not useful for the end customer. It’s more that investors are overpromised on the value and return from AI. There has been no returns yet, and consumers are finding less useful than these companies intended. The scam is for the investors, not the end user - I think it is that its not useful for the end customer. Every anecdote I’ve heard about LLMs helping someone with their work were heavily qualified with special cases and circumstances and narrow use cases, resulting in a description of a process that was made more complex by adding the LLM, which then helped them eliminate nearly as much complication and effort as it added. These are the stories from the believers. - Now add in the fact that almost nobody is on a paid service tier outside of work, and all the paid tiers are currently heavily subsidized. If it has questionable utility at today’s prices, the value will only decline from there as prices rise to cover the real costs to run these things. 
 
- It’s a scam because the prices they’re charging right now don’t reflect the actual costs. AI companies are trying to get people and companies hooked on it so that once they crank the prices up by 10x to start turning a profit, they’ll be able to maintain some semblance of a customer base. If they were charging the real prices a year ago, the AI bubble would have never reached the levels it has, and these companies wouldn’t be worth what they are now. It’s all propped up on a lie. - Ah so the Uber business model then 
 
- I agree with you. Not as useful as tech-bros claim, but not as little as other people claim neither. Definitely not a trillion value thing, tho. - It’s like gambling the entire US economy on Clippy. 
 
 
 
- Would be nice, I want to buy some ETFs at a discount 
 













