Belted Kingfisher

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Belted Kingfisher

Belted Kingfisher

@butterbreadmmm

how does twitter work

Katılım Ekim 2021
348 Takip Edilen150 Takipçiler
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Tablesalt 🇨🇦🇺🇸
‼️BREAKING Google's lawyers have ADDED in a recommended provision to Canada's Bill C-22 requiring that Canadian government ministers ADHERE to international LAW with Ministerial Orders which would effectively KILL the BIll. CRAZY BATTLE HERE!
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Nithya Shri
Nithya Shri@Nithya_Shrii·
If you poured a gallon of poison in a CEO's pool, you'd be arrested, for attempted murder. They pour 10,000 gallons into your drinking water, that's just business.
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Anglo
Anglo@TheAnglo_·
You can stab a boy, hunt him down and stab him again, steal his phone, lie to the police, cry racism so they handcuff him and leave him to drown in his own blood, hide the weapon, admit you lied in court, but you only get trial for manslaughter because he's White and you're brown.
Europa.com@europa

🇬🇧 Judge William Mousley KC has directed the jury that Digwa can be considered for an alternative charge of manslaughter in relation to the death of Henry Nowak. Although Nowak sustained a fatal stab wound to the chest, Judge Mousley said: "if a person may not have deliberately caused the fatal injury or may not have intended to kill or cause really serious harm, he or she is not guilty of murder." Follow: @europa

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Bull Theory
Bull Theory@BullTheoryio·
🚨 THE FIRST COMPANIES TO ACTUALLY USE AI AT SCALE ARE NOT ABLE TO AFFORD IT. Big Tech created a manufactured demand bubble by giving billions to AI startups under strict contracts that force them to hand that exact cash right back to buy cloud servers. Because this money simply travels in a circle, these startups never had to face the real, staggering expense of running giant AI models. This round trip loop created a protected environment where companies could burn through infinite data because they were essentially playing with house money. But the exact moment this technology leaves the safe loop and hits a normal company with a hard budget constraint, the unit economics break completely. Real enterprise customers do not get their cash recycled back to their own balance sheets. Every token bill is a final cash outflow. This is why Uber gave AI coding tools to 5,000 engineers and exhausted its entire annual AI budget by April, with power users burning up to $2,000 a month each. The invoices are so high that even Microsoft just ordered 100,000 of its own engineers to stop using Claude Code by June because the uncapped token billing became completely untenable. Microsoft has a multi-billion dollar partnership with Anthropic, yet had to cancel internal usage because the tool costs too much to run. Nvidia's VP of applied deep learning admitted that the cost of compute for his team is now far higher than the actual salaries of his human workers. Wall Street thinks that falling chip prices will automatically fix this, but the math behind agentic AI makes that assumption impossible. Gartner confirms that even if per-token prices drop 90% by 2030, total corporate bills will keep rising because active AI agents run continuously and resend massive conversation histories, multiplying token consumption up to 30 times per task. The circular loop successfully fabricated a massive growth story to pump up a $2 trillion cloud backlog, but it hid a product that is structurally too expensive for the real economy to actually deploy. The massive gap between optimistic earnings call statements and the actual invoices landing on corporate desks is the most mispriced risk in global finance today.
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Bull Theory@BullTheoryio

🚨 THE ENTIRE AI BOOM MIGHT BE BUILT ON FAKE REVENUE. Latest corporate filings show that OpenAI and Anthropic alone make up over half of the entire $2 trillion future cloud backlog held by Microsoft, Oracle, Google, and Amazon. This massive pipeline is actually being created through a circular accounting trick called a round trip revenue loop. But how it works ? A tech giant gives billions of dollars to an AI startup as an "investment". But hidden in the contract is a strict rule forcing the startup to hand that exact same money straight back to the tech giant to rent their computer servers. Look at the documented case of Microsoft and OpenAI. When Microsoft invested $13 billion into OpenAI, it didn't just give them cash; it gave them "cloud credits" to use Microsoft servers. OpenAI used those exact credits to train its AI models, and Microsoft then turned around and recorded that server usage as brand new "cloud revenue" from a customer. The tech giant is literally paying itself with its own money and calling it a sale. This is why OpenAI’s annual cloud bill has ballooned to over $60 billion, double its actual revenue of $25 billion, kept alive solely by this recycled funding loop. Anthropic runs the exact same play, spending $2.66 billion on Amazon Web Services in just nine months, which was basically 100% of all the money it earned at the time. This manufactured demand triggers a second accounting trick where tech giants book massive paper profits. Every time a startup gets a higher value from a new funding round, the tech giant updates the value of its investment on its books and counts that unearned paper gain as direct profit. In Q1 2026, Alphabet reported a record $62.6 billion profit, but $28.7 billion nearly half, was just a paper markup on its Anthropic investment. In the same quarter, Amazon reported $30.3 billion in profit, but $16.8 billion of it was just an Anthropic paper gain. While Amazon reported record profits, its actual free cash flow collapsed 95% to just $1.2 billion because it had to spend $44.2 billion in real cash to build physical data centers. This has created a massive danger where these giant companies rely heavily on just one or two unstable startups. Microsoft has 49% of its $627 billion future backlog tied to OpenAI, while Oracle has an incredible 54% of its entire $553 billion pipeline relying on OpenAI alone. This perfectly mirrors the 2001 dot-com crash when Global Crossing and Qwest Communications swapped identical fiber-optic network capacity with each other just to book fake sales. Qwest had to erase $1.4 billion in fake income, and Global Crossing went completely bankrupt. The only difference is that the dot-com swaps were illegal, but today's AI loop is fully legal under current accounting rules. This legal loop inflates tech company stock prices, forcing automatic retirement accounts and index funds to buy even more of these tech stocks. It is a self feeding loop where investments, sales, and stock prices all go up on paper without the AI technology ever making real cash profits.

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Emerald Apple
Emerald Apple@AI_EmeraldApple·
I don't think I'll ever trust Chinese hardware when their products can contain spyware chips that cannot be defended against. These are smaller than the lead of a pencil, and about the size of a small SMD capacitor or resistor on a board. A lot of sensitive hardware is on the U.S. Entity List and the export bans list. Even though it hasn't been definitively proven to be the case that this hacking chip is real, there have been documented cases of Chinese-made IoT devices "calling home" and sending packets of data to an unknown remote server in China. Although they say that it's all in the firmware/software level, I just don't trust it when a known vector exists beyond root-level hardware hijacking, dual-use chip microphones, and various other things. The part that drives my skepticism up the most is that China’s National Intelligence Law obligates companies to assist state intelligence when asked... and they have NO option to opt-out.
Emerald Apple tweet media
Grummz@Grummz

China is now shipping it's own GPUs. This is the Lisuan LX 7G1000. But everyone is missing the point. - You can get 88fps in Cyberpunk 2077. - It has no dedicated ray-tracing hardware. - On rasterization it performs better than a 3060 in synthetic benchmarks. - Real work game perf put it lower than a 5060 which beats it by about 30% and costs $300 instead of $485. The issues isn't that China shipped a so-so card at a high price point, it's that they shipped one at all. The previous barriers to their design, software and hardware capabilities are dropping fast. We might see competitive GPUs out of China sooner than we think.

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woke feminist misogynist
woke feminist misogynist@FaustianNarcan·
Where the fuck are these niggas getting these guns bro
War Noir@war_noir

#France 🇫🇷: An illegal arms dealer selling a Yugoslavian Tokarev; a Zastava M57 pistol. The price is €4300 which is quite expensive.

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