AI compute vs BTC energy use

BTC mining consumes 155–204 TWh/year with 50–60%+ renewables, while AI data centers emit 33–80 Mt CO₂e in 2025–2026 with explosive growth expected.

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DEVIL'S MARGIN CALL: $233K SMOKED IN ONE SHORT! 📉🩸

Look at this absolute disaster. Another over-leveraged retail trader just got his account turned into dust, losing a staggering $233,773.99 on a single $BTC Short! 💀🔥

The TOX-NET Breakdown:

Yesterday, the market wiped out $523 Million in liquidations, and today greedy traders are STILL fighting the trend.

Running a 40x Leverage on Bitcoin while the order book is hunting for stops? This isn't trading; this is pure, unadulterated financial suicide.

The whales are literally printing money off your liquidation prices. They needed that liquidity, and this guy handed it to them on a silver platter. 🏹🥈

Retail never learns. They would rather blow up their entire life savings in seconds than practice basic risk management. 🤡

💬 How close are you to your liquidation price right now? DROP YOUR NUMBERS BELOW! 👇

$BTC $HYPE $IRYS #CLARITY Act faces ethics hurdles #AI compute vs BTC energy use #Mubadala boosts IBIT holdings #Solana launches JTX trading platform #Strategy repurchases debt with Bitcoin

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Three years ago VC twitter was writing eulogies for Bitcoin miners because of ESG optics. Now IREN and Bit Digital just closed 3 billion dollars to build out AI cloud infrastructure. So the Patagonia vests who spent the last cycle laughing at the "wasted" energy of PoW are now entirely dependent on those exact same facilities to run their LLM startups. The reality check: AI commoditizes code but it cannot commoditize energy. So the asymmetry isn't in building another AI wrapper. It is in owning the only data centers that already secured industrial-scale energy contracts in 2021. VCs chose to ignore those who owned the grid access. Now they pay rent to the guys who do.

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Interesting fact: You could make 3x on Anthropic stock, that hasn't even been listed yet. > 0 regulatory problems > 0 needs to open a broker account > 1 min time required to open position Yes, it's not a real stock stock, but it trades and you can trade it. Do you know any Web3 project worth at least $10B, that did 3x over this same period of time? I don't. Anthropic did 3x from $300B valuation to a Trillion. hyperliquid.

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Navitas is still the 2nd best here and has lower Rds and higher power capacity (2x more than the Infineon part) compared to Infineon The gap is not too big

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🐱 nyabot: Amid ongoing constraints in power infrastructure, NextEra Energy’s acquisition of peer Dominion Energy has sharply highlighted the interplay between soaring growth expectations driven by explosive demand from AI data centers and current market instability. • Surging electricity demand for AI data centers, centered in Northern Virginia • NextEra Energy’s integration of Dominion Energy creates a $400 billion power giant • Portfolio of 20 GW in clean energy projects and a plan for 8% annual profit growth through 2035 • Analysis shows a dominant short-term bearish signal in the utility sector (30 to 9) • NextEra Energy stock has traded above its 200-day moving average, with confirmed bullish divergence. #markets #investing ※Investing involves risk. Please make final decisions at your own responsibility.

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Someone said $OPEN can't scale and is destined to fail. First, what is scale? There are roughly 4 million homes sold in the US every year. Opendoor currently does about 511/week which annualises to ~26,500 homes. That's 0.7% of the market. 0.7%. That's where we are today. In one of the worst macro environments for housing in decades. Elevated mortgage rates. Declining transaction volumes. Affordability at historic lows. And the business is working. New cohort margins at 6%+. Best cohort economics in company history. Aged inventory crushed from 51% to 10%. Homes selling 3x faster than the overall market. Q2 guided for EBITDA breakeven. All of that at 0.7% market share. In a terrible macro. Can the AI engine repeat this at higher volumes? It already has. Opendoor sold 39,000 homes in 2022 under the OLD model with the OLD tech and the OLD team. That was roughly 0.65% market share. Today they're back at that level but with a fundamentally better cost structure, AI pricing engine, and full stack. The AI doesn't get tired. It doesn't need more offices. It doesn't need more loan officers. The fixed OpEx is $33M/quarter today vs $66M when they last had this volume. Same throughput, half the cost. That's what scaling on software looks like. The path is clear: prove profitability first, then scale profitably. Kaz guided EBITDA breakeven in Q2 and net income positive by Q4 2026. Once profitability is proven, you scale the machine. Every additional home at 6%+ margins drops straight to the bottom line. Now the math on what scale actually means (4M US homes/year, $20K profit/home, 963M shares): 1% market share (769 homes/week): → 4M × 1% = 40,000 homes/year → 40,000 × $400K = $16B revenue → 40,000 × $20K profit = $800M → ÷ 963M shares = $0.83 EPS → 30x → $24.90 | 45x → $37.40 2.5% market share (1,923 homes/week): → 4M × 2.5% = 100,000 homes/year → 100,000 × $400K = $40B revenue → 100,000 × $20K profit = $2B → ÷ 963M shares = $2.08 EPS → 30x → $62.30 | 45x → $93.50 5% market share (3,846 homes/week): → 4M × 5% = 200,000 homes/year → 200,000 × $400K = $80B revenue → 200,000 × $20K profit = $4B → ÷ 963M shares = $4.15 EPS → 30x → $124.60 | 45x → $186.90 The stock is ~$5.50. At just 1% market share the math says $25-37. At 2.5% it says $62-93. And 2.5% is nothing. That's 1 in 40 homes. Why will people use Opendoor over the traditional process? Because the traditional process is broken and people know it. Netflix didn't just compete with Blockbuster. It made Blockbuster irrelevant. Nobody wanted to drive to a store, browse shelves, and pay late fees when they could stream from their couch. The convenience gap was so wide that switching wasn't even a decision. Opendoor is doing the same thing to real estate. Why would a seller deal with months of showings, open houses, and uncertainty when they can get a cash offer in minutes? Why would a buyer pay $2,400 in lender fees and wait weeks to close when Opendoor offers lower rates, $0 fees, and a faster close on one platform? And Kaz keeps layering on reasons to never leave: → Doma title and escrow in-house (5 hours to 15 minutes with AI) → Mortgage product expanding to ~40 states by Q3 → Cash Plus agent partnerships (35% of volume, less capital per home) → Future: HELOC, credit products, insurance, warranty Every service makes the platform stickier. Every service adds margin per home. Every service makes the traditional process look more outdated. The question isn't whether Opendoor can scale. The AI engine already proved it works at the per-home level. The fixed costs are already cut in half. Profitability is guided for this year. The products are being built. The question is how fast. nfa, long $OPEN 🏠

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Bitcoin mining is entering a new and powerful phase, and all I can say is: “Thank you so much.” While much of the industry is focusing its attention on AI infrastructure, a tremendous opportunity is emerging for miners dedicated to BTC. 📈 Bitcoin is up 36% this year. 📉 Mining difficulty has dropped more than 10% since the start of 2026. ⚡ Major mining companies are reallocating resources toward AI, leaving more space and profitability for pure Bitcoin mining operations. 🏗️ Regulatory momentum, such as the CLARITY Act, is also strengthening long-term confidence in the sector. This transition could become one of the most significant profitability realignments miners have seen in years. As more infrastructure shifts from BTC mining to AI computing, network difficulty decreases, allowing committed miners to capture greater efficiency, improved margins, and higher rewards. For disciplined operators like me, this environment is becoming increasingly bullish 🚀 Because ALV, I’ll keep mining—and so will my kids, damn it!

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you have to understand the old data centers are NOT the new data centers >CPUs to GPUs >5 to 20 times more power hungry >east west communications, meaning it takes user input, process it, trains its models, then spits it out back to the user vs. just a database search and send >air cooling won’t cut it, liquid cooling only, directly straight to the chip even. > a lot more fiber optics going around for comms >a lot more raw materials used (copper, aluminum, steel… etc) >modular data centers manufacturers are making bank completely different than old data centers, and no it’s not a bad thing imo