#aibubble

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As a response to your prompt, the LLM gives you the words that are statistically most likely in the order that is statistically most likely, given its training texts. That's all it does. It's artificial but not intelligent. You're reading a mind into the LLM output just the same way as you think about your robot vacuum cleaner as a house pet. #llm #ai #aibubble
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anthropic leaked financials
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Replying to
@NyxKai@ieji.de The #ai companies are (or will soon be) also competing on the stock market, and they are desperate to keep their shares prices up. None of these #ai products make a profit, they all make huge losses, they are not viable business models, so they rely on hype and bluff to keep their share prices from collapsing. that is why they are trying to 'outbadass' each other. #ScamAltman #aihype #aibubble
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@karimh89@mastodon.social So the #ai companies are now competing with each other to show who has the most dangerous, invasive and criminal product. Just to prop up their share prices. And that's what is saving the US economy. What could possibly go wrong? #ScamAltman#aihype #aiscam #aibubble #aibullshit #openai #huggingface #anthropic #gemini #hyperfailures
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@pluralistic@mamot.fr The new insight here, to me, is that the math problems that LLMs are solving are a) actually real, and b) of a specific kind that that technology can solve--ie, the ones that can be "brute forced"--because LLMs are suited to brute force attacks. #AI #LLM #hype #AIBubble
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Post-Keynesian economist Steve Keen shows how the #AIBubble is related to all the previous overinvestment bubbles. He’s got the models and the math to prove it, and it’s easy to follow. But most importantly, he then goes and models also the hypothetical post-AGI market with huge job losses. Keen shows, that if the tech bros keep insisting on current #Neoliberal models without #UBI funded by a government deficit, we might end up in a Hunger Games world. https://youtube.com/watch?v=TD3FB9NkwSQ #economics

The Economics of the AI Bubble

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Cory Doctorow (@pluralistic@mamot.fr) "Quantity has a quality all its own. These businesses aren't just wasting billions – they're replacing skilled workers with defective chatbots. As I've written before, AI is the asbestos we're shovelling into the walls of our technological society. Our descendants will spend generations digging it out again, and the longer the bubble goes on without popping, the longer it will take to repair the damage." https://www.thenerve.news/p/cory-doctorow-ai-business-incentive-to-lie-useless-chatbots-report-nikhil-suresh #AI #llm #aibubble
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💵🤖🫧🪦 Listening to Better Offline (Monologue: The Pale Horsemen Arrive): https://omny.fm/shows/better-offline/monologue-the-pale-horsemen-arrive In this week's Better Offline monologue, Ed Zitron runs through how 70% of Microsoft, Google and Amazon’s AI revenues are from Anthropic and OpenAI, with 7% of Microsoft’s FY26 revenue coming from OpenAI alone, and how this is cast-iron proof that demand for AI doesn’t exist at a scale that warrants any of the trillion dollars in capex they’ve spent. #AIBubble
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« "Ces investissements ne sont rentables que si les gens se mettent à utiliser massivement l’IA. Rien n’est acquis de ce point de vue là", explique Gilles Moëc, chef économiste du groupe Axa. Selon une étude publiée le 22 juillet par l’université du Texas à Austin, environ 33 % des salariés utilisent l’IA au travail. Ils étaient 46 % il y a un an. Le prix des puces mémoires, essentielles pour gérer les tâches d’IA, ajoute à l’inquiétude. Il a sextuplé en 2025 ». #AIbubble https://www.lemonde.fr/economie/article/2026/08/05/les-investissements-record-de-la-tech-americaine-ne-font-plus-rever-les-marches_6739441_3234.html
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A lot of people seem to believe that if you ask an LLM to look through a database and calculate something, or extract data according to some criteria, then it will do exactly what you ask for. It won't. It will calculate an output that looks normal. And you won't discover this unless you do the same operation manually and compare. #llm #ai #aibubble
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"Last week’s tech earnings saw outlet after outlet claim that Amazon, Google, and Microsoft’s AI bets were “paying off” as their respective cloud segments reported record revenue growth, casually ignoring that none of them have broken out their AI revenues (...) To be clear, all three of these companies’ cloud platforms have many other customers paying for many other things other than generative AI services or AI GPUs, and they’ve all engaged in a combination of multiple outright price increases and changing their core subscriptions to force AI features on them as a means of boosting revenues and conning the street into believing that “AI is paying off” every time they non-consensually thrust it on their customers, framing higher prices as “better value” in a way that fucks the user to appease Wall Street. Yet the biggest con of all is that a vast majority of this revenue growth comes from the compute spend of Anthropic and OpenAI, both of whom account for the vast majority of AI revenues and overall cloud growth we’ve seen in the last few years. Every publication you read right now will tell you that AWS and Azure and Google Cloud are growing like wildfire as a result of the hundreds of billions of dollars they’ve invested in AI GPUs and data centers, when the truth is far simpler: their revenues are being buoyed by two unprofitable, unsustainable AI labs that cannot exist without being funneled tens of billions of dollars each year. And a decent chunk of that money is coming from the hyperscalers themselves. In the last seven months alone, Google has sunk $10 billion (and up to $30 billion more) into Anthropic, with Amazon funnelling $5 billion to Anthropic within a week of that investment and a total of $50 billion into OpenAI." https://www.wheresyoured.at/the-ai-demand-bubble/ #AI #GenerativeAI #AIBubble #AIHype #BigTech #OpenAI #Anthropic
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"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off." https://www.theregister.com/ai-and-ml/2026/08/03/the-ai-bubble-is-already-popping-we-just-dont-know-it-yet/5282004 #AI #AIBubble #GenerativeAI #LLMs #AIHype #BigTech
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