Golden winged goddess floating through the cosmos wrapped in glowing ancient rings and coins 🪽 Ethereal beauty with massive cracked wings and that divine golden energy dripping from the sky. 🔥 #AIGirl #WingedGoddess #FantasyArt #AIArt #CelestialBeauty #GoldenAngel #MythicalWings #EpicFantasy

Exclusive: I have seen OpenAI's audited financials for 2024 and 2025. In 2025, OpenAI had $13.07 billion in revenue and $34 billion in costs. $867 million of its revenue came from SoftBank, and $303 million came from Microsoft. wheresyoured.at/exclusive-op…

META MOVES TO LIMIT EMPLOYEE AI USAGE AS COSTS REACH BILLIONS

The AI bubble has already burst. That is exactly why so many companies are racing toward IPOs now. They want to sell at peak valuations before the financing problems, data center delays, power constraints, missed targets, and guidance cuts start hitting the market. This is not sustainable growth. This is insiders trying to cash out at the top before the crowd realizes the bubble is over. $NVDA $AMD $MU $AVGO $SMCI $ARM $TSM $ASML $META $MSFT $GOOGL $AMZN $ORCL $PLTR

WATCH: @edzitron absolutely destroy the SpaceX, Anthropic and OpenAI IPOs in 5 minutes He explains why they're all trying to cash out because the entire AI narrative is a lie.

This is the best explanation of the AI bubble I've ever heard! 🤣 An instant classic of the insanity @atmoio

this company burns tens of billions a year and this is only a dodgy way of socializing the losses. It's a sign that OpenAI knows it's cooked, unclear what the stake would be, nor whether said stake would save it when the reaper arrives

The AI Bubble has lost wallstreetbets

🚨 Sam Altman warns OpenAi and Anthropic are experiencing severe pullback on Ai spending as companies put significant restraints on spending to restrict costs. The company warns investors it’s the first time this has happened in Ai and something we never expected. The buildout costs aren’t sustainable to allow profitability to hyperscalers or end users. $soxx $dram

Anthropic valuation: $965 Billion Walmart valuation: $926 Billion Anthropic revenue: $47 Billion Walmart revenue: $681 Billion

When people say 'AI isn't a bubble because the technology isn't going away', it just shows they don't know what a bubble is. The internet didn't go away. Railways didn't go away. Tulips didn't go away. An asset can be overvalued, even if its useful.

🚨Michael Burry just said Elon Musk and Nvidia's deal is built on fake numbers. Burry published a detailed breakdown calling the entire structure "Fugazi", his word for fake. He is alleging that billions of dollars in Nvidia chips are being hidden off balance sheets, and that American retirees are unknowingly funding the whole thing. Nvidia, the world's largest AI chip company sold $5.4 billion worth of its most advanced GPUs, the GB200, to a company called Valor. Valor is not a real operating business. It is a special purpose vehicle, a shell company created specifically to hold these chips and nothing else. Nvidia also invested $1.9 billion of its own money directly into Valor on top of the sale. Those 100,000 chips are now physically inside xAI's data center. xAI is Elon Musk's artificial intelligence company, the one that builds Grok. xAI is using every single one of those chips right now to run its AI models. But here is what Burry is flagging. Neither Nvidia nor xAI owns those chips on paper. Valor, the shell company holds legal title. That means $5.4 billion in GPU assets do not show up on Nvidia's balance sheet as inventory. They do not show up on xAI's balance sheet as assets. They are legally invisible to both companies. Nvidia gets to book the $5.4 billion as a completed sale and record it as revenue. xAI gets full use of the chips without owning them. And the risk disappears into a shell company in the middle. Now here is where American retirees enter the picture. Valor needed $3.5 billion in debt to fund this structure. Apollo provided it. Apollo is one of the largest asset managers on earth with $1.03 trillion under management and $834 billion specifically in private credit. Apollo raised the $3.5 billion, packaged it into debt securities, and sold those securities to Athene. Athene is Apollo's own insurance company. It sells fixed and indexed annuities, retirement savings products, to ordinary Americans. When a retiree buys an Athene annuity, they believe their money is sitting in safe, stable investments. That money is now inside a structure funding Elon Musk's AI data center. The numbers inside Athene are most alarming. Athene holds $74.2 billion in reserves. It has moved $217 billion in assets into a captive insurer based in Bermuda, meaning those assets sit outside normal US insurance regulation and oversight. Of the entire portfolio, 34.7%, equal to $103 billion, is classified as Level 3 assets. Level 3 is an accounting classification that means there is no observable market price for these assets. No outside party can independently verify what they are actually worth. The leverage sitting on top of those unpriced assets is 16 times. Burry's says: Every step of this structure is technically legal and publicly disclosed. But the entire thing was deliberately engineered across 8 to 12 steps to move credit risk off balance sheets and away from any market pricing. - Nvidia books the revenue. - Apollo collects the fees. - xAI gets the computing power. - And retirees sitting at the bottom of a 16x leveraged Bermuda insurance structure, holding $103 billion in assets with no market price carry the risk without knowing it exists.

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NEW: AI consultant reveals a client accidentally spent $500,000,000.00 in a single month after failing to set employee limits on Claude usage.

Here’s the email to employees: Team, Hope everyone’s doing well and enjoying the productivity enhancements from our AI tooling initiative. Unfortunately, Finance has asked me to clarify a small issue. It appears someone, and by “someone” I mean apparently all of you simultaneously, managed to spend $500,000,000 on @claudeai usage in a single month. For context: •NASA landed on the moon for less. •We are now the proud owner of approximately 14% of Anthropic. •Claude personally sent us a thank-you fruit basket. •Our CFO has entered a fugue state and only communicates through Slack emojis. •The electricity usage from your prompts briefly dimmed parts of Northern Virginia. While we appreciate innovation, there are concerns that: •“Can you make this email sound slightly warmer?” did not require 11,400 generations. •Asking Claude to “rewrite this in the style of Succession, Hemingway, and Tony Soprano combined” may have been excessive. •One employee appears to have used Claude to generate “a quick list of lunch options” that somehow consumed the GDP of a small island nation. Going forward, please observe the following guidelines: 1Do not upload the entire internet into Claude “for context.” 2If your prompt begins with “simulate every possible outcome,” reconsider. 3Claude should not be used to: ◦settle fantasy football disputes, ◦write your wedding vows 97 times, ◦generate revenge edits of your ex’s LinkedIn bio, ◦or ask “what if Rome had WiFi?” Most importantly: 
If you see the message: “This request may require additional datacenter construction” …please stop immediately and contact IT. Thank you all for your cooperation during this challenging yet technologically groundbreaking time. Warm regards,
Management P.S. Whoever prompted: “Generate every possible PR angle for every company founded since 1983” …we just want to talk.

The AI numbers are starting to look very ugly. Even under "best case" assumptions, FT's own data shows Microsoft AI ROI at -9%, Google at -15%, Meta at -28%, Oracle at -35%. Only Amazon barely comes out positive. This is exactly why I keep comparing this to the dot-com era. Incredible technology does not automatically mean sustainable economics. The internet survived. Most internet companies didn't. Right now hyperscalers are spending trillions hoping future demand catches up to present capex. That's not certainty. That's a leveraged bet.

OPENAI VALUATION: ~$700B ADOBE VALUATION: ~$98B OPENAI ANNUALIZED REVENUE: $20B ADOBE REVENUE: $23.8B And you are telling me this isn’t a bubble?

Today’s free newsletter is about how LLMs are the perfect grift to exploit an economy dominated by do-nothing managers and executives disconnected from any real work, and how the facade is crumbling as companies pay the true cost of AI. wheresyoured.at/the-revenge-…

I think AI coding hype follows roughly four stages: 1. Amazement You try it and can’t believe how much code it generates from a few prompts. 2. Expansion You start more and more projects because shipping suddenly feels cheap and fast. This is also the phase where people start convincing everyone around them: - coworkers - management - friends in other companies because nobody wants to “fall behind” in 6–12 months. That creates a massive snowball/FOMO effect. 3. The grind phase You realize the generated code has architectural issues, sloppy mistakes, weird abstractions, duplicated logic, broken edge cases, etc. So you start: - re-prompting - switching models - increasing reasoning effort - reviewing fixes - generating fixes for previous fixes And suddenly you spend your days reviewing AI-generated pull requests instead of building software. 4. Realization You realize AI coding increases output much faster than it increases certainty. The code still needs: - review - testing - ownership - architectural understanding - long-term maintenance Usually by expensive senior engineers. And the interesting thing is: this whole cycle can take many months or even more than a year because people become socially and professionally invested in the narrative themselves. Once teams, managers, and entire companies have been convinced that this is the future, it becomes psychologically and politically very hard to later say: “Actually, the ROI is much lower than we expected.”

Uber is now questioning whether it’s actually seeing meaningful returns on its investments with AI, per the Verge

Let me trace the timeline here because nobody's connecting it. Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying. Step 2: Train a model on all of it. Call it "artificial intelligence." Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter." Step 3 is where you sell people's own knowledge back to them. On a meter. They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created. One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility." Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies. That's the metered intelligence business model. And they're pitching it to infrastructure investors as though they invented water.