🐧 1998 Linux hacker ✈️ 2004 Aerospace eng ⛏️ 2011 Bitcoin miner 🤖 2016 @numerai modeller 👨‍🌾 2020 @chia_project farmer ☁️ 2025 AI cloud builder

The front of the order book
Joined October 2016
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CryptoQuant 🇺🇸🌱 retweeted
“who should we lay off first” CEOs:
BREAKING: Microsoft, $MSFT, is offering buyouts to 60,000 workers as part of the company’s efforts to cut costs amid AI adoption, per Bloomberg. Personnel on select teams in the US, Canada, India, and the UK at a vice president level and below will be eligible. This reflects ~27% of Microsoft's total workforce.
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CryptoQuant 🇺🇸🌱 retweeted
JUST IN: Amazon CEO Andy Jassy reveals AWS cloud computing capacity is sold out through 2027 amid surging AI demand.
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CryptoQuant 🇺🇸🌱 retweeted
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CryptoQuant 🇺🇸🌱 retweeted
An open letter to the Bitcoin ecosystem:
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CryptoQuant 🇺🇸🌱 retweeted
Real recognizes real #grokbot
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CryptoQuant 🇺🇸🌱 retweeted
🚨 Security vulnerabilities reported in a SINGLE day: PHP — 2 CVEs Node.js — 10 CVEs NGINX — 5 CVEs Go — 1 CVE GitLab — 12 CVEs eMudhra — CA certificate compromise
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CryptoQuant 🇺🇸🌱 retweeted
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CryptoQuant 🇺🇸🌱 retweeted
-----BEGIN RSA PRIVATE KEY----- 4 -----END RSA PRIVATE KEY-----
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CryptoQuant 🇺🇸🌱 retweeted
when they ask for my private key
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CryptoQuant 🇺🇸🌱 retweeted
$MU $SNDK $SKHY $NBIS Nomura’s memory team just put out a really interesting note on the AI scare, the numbers underneath are some of the strongest I’ve seen in this drawdown. Nomura sees AI going from 10GW of data center power in 2025 to 40GW by 2028, taking it from 17% of all data center power to 35%. The biggest slice of that 2028 number is heavy agents at 15GW, ahead of training at 10GW. In Nomura’s model, agents become the largest power user in AI within two years. US big tech alone goes from 10.2GW of AI capacity to 48.5GW over the same stretch, Nomura’s memory team just put out a note on the AI scare, and once you get past the headline worry, the numbers underneath are some of the strongest I’ve seen in this drawdown. Nomura sees AI going from 10GW of data center power in 2025 to 40GW by 2028, taking it from 17% of all data center power to 35%. The biggest slice of that 2028 number is heavy agents at 15GW, ahead of training at 10GW. In Nomura’s model, agents become the largest power user in AI within two years. US big tech alone goes from 10.2GW of AI capacity to 48.5GW over the same stretch, almost 5x. The cash is piling up where the chips are made. Nine semiconductor companies (Samsung, Hynix, Micron, Sandisk, Kioxia, TSMC, Nvidia, AMD and Broadcom) went from $27B of net cash in 1Q24 to $282B in 2Q26, and Nomura projects ~$2T by end-2028. The clouds buying all of it are printing too, with AWS at a 39% operating margin, Microsoft Intelligent Cloud at 41% and Google Cloud at 36%. Even Anthropic moved into adjusted operating profit in Q2, per Nomura. Memory stays supply constrained through at least 2028. Nomura’s targets are 670,000 KRW for Samsung (+207%) and 4.7M KRW for SK Hynix (+268%). Now the part the market sold on and I don't buy into: OpenAI and Anthropic’s combined revenue grew 49% q/q in Q3, down from 74% in Q2. At September’s run rate, Q4 lands at $29.7B and 2026 comes in short of the ~$100B the market expected. That “slowdown” scenario is still +291% y/y. Part of the dip is mechanical. OpenAI’s run rate got reframed because of how partner revenue is booked, Anthropic cut off distillation (5-7% of revenue), and summer slowed usage-based billing. Meta moving engineers off Claude Code onto its own tools sounds bad until you remember the tokens still get burned, just on Meta’s compute. OpenAI and Anthropic are only ~5GW of the ~29GW of AI capacity Nomura sees by end-2026. The 7 big operators, CoreWeave and Nebius included, go deeper into net debt through 2028. That debt is the chipmakers’ revenue. CoreWeave, the name everyone is scared of, is 4.4% of capacity and 1.7% of 2026 data center investment. Nomura sees limited systemic risk and calls the CXMT memory panic excessive. Every bearish line in this note ends up as someone’s GPU, HBM or optics order. So invest in the entire buildout and win either way. Bullish ⚡️
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CryptoQuant 🇺🇸🌱 retweeted
I, for one, consider 4 a perfectly fine integer between 1 and 39402006196394479212279040100143613805079739270465446667946905279627659399113263569398956308152294913554433653942642
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CryptoQuant 🇺🇸🌱 retweeted
arstechnica.com/security/202… The private keys for these certs are literally the numbers 4, 56, 66, 115, 155, 156, 230, and 237 (life imitates XKCD, again).
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CryptoQuant 🇺🇸🌱 retweeted
Damn they move quick
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CryptoQuant 🇺🇸🌱 retweeted
The age of pure play autism is over. The time of the cracked multi-threaded ADHD agentic neuromancer is here.
having a touch of the 'tism had a good run, but that era is rapidly coming to an end
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CryptoQuant 🇺🇸🌱 retweeted
JP Morgan in 2017 - "Bitcoin is a hyped-up fraud" JP Morgan in 2026 - "Bitcoin will be the best performing asset of the decade"
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CryptoQuant 🇺🇸🌱 retweeted
The right to bear arms. Rejoice, my American brothers
We found DeepSeek V4.1 Flash 1017 beats GPT 6 Sol on our multi-step offensive cybersecurity task. Sol was tested via the Daybreak trusted access program. We have been building a cybersecurity benchmark based on simulated corporate networks. This is a valuable indicator for the cyber-risk a model poses if in the hands of a bad actor. We plan to make the full evaluation public in the coming weeks but wanted to share our first immediate finding here.
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CryptoQuant 🇺🇸🌱 retweeted
JUST IN: The largest bank in the U.S. JPMorgan is forecasting Bitcoin to outperform every major asset over the next decade. You are not bullish enough 🚀
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CryptoQuant 🇺🇸🌱 retweeted
Dear market makers, this is who you're liquidating.
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CryptoQuant 🇺🇸🌱 retweeted
BREAKING NEWS🚨: NVIDIA has just achieved 423 tok/s/user 🚀 on the 2.8T Parameter Kimi K3 model via a new upstream vLLM optimization. 1.68x Faster on the Same Hardware! This was done by NVIDIA CentML's Benjamin, who wrote NVIDIA's new decode-specialized kernels in Cute DSL via aggressive Megakernel fusion. This is a 12,000 LoC Megakernel and is the future of advanced AI-assisted kernel generation. NVIDIA is already working on DeepSeekv4.1 and other models for vLLM too. Someone should give this NVIDIA 10x engineer a raise for this great new major feature!
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