SHOW DIRECTORY
Thread Guy
Thread Guy interviews traders, investors, founders, and market operators about crypto, public markets, technology, and trading.
SOURCE DESCRIPTION · YouTube
Flood - Inside the Biggest AI Fund Blowup Ever
Flood says Situational Awareness correctly identified AGI-driven demand for compute, energy, and infrastructure, but positions nearing 20% of some companies’ market caps made the trade difficult to exit.Leverage, falling prices, and rising volatility triggered billions in same-day collateral demands, reportedly forcing a distressed sale to Citadel, while Jane Street’s absence remains unexplained.With roughly $1 trillion of hyperscaler spending still lacking clear returns, Flood holds about 50% cash as he waits to see whether AI can show the money.
Why He Sold Everything - Bubble Boi on Kimi, CXMT, and China's Chips
Kimi’s linear-attention architecture may keep most model memory fixed as context grows, weakening Bubble Boi’s memory-and-capex thesis for AI winners.That could reduce future DRAM and rack demand while improving premium Nvidia GPU economics; he favors selectively priced CXMT, remains bullish on Intel’s 14A customer commitment, and is watching neoclouds, flash-based inference, and Qualcomm’s unproven throughput claims.
Why OpenAI Is The Next Amazon - GoodAlexander
SpaceX’s roughly $25 billion IPO, with about 30% allocated to retail, could drain liquidity from adjacent speculative assets even if the company trades well.GoodAlexander prefers OpenAI because 900 million ChatGPT DAUs and a reportedly $100 million six-week ad pilot create an Amazon-like monetization option, while orbital-compute execution, legacy-telecom disruption, and user trust remain key risks.
Why Robotics Is The Next Trillion Dollar Industry - Andrew Kang
Andrew Kang says robotics is shifting from mechanical design toward intelligence, with reliability now the next threshold for physical intelligence.He expects GPT-5-level robots in roughly a year and home-capable robots in about two years, while hardware, manufacturing, supply chains, model commoditization, and labor displacement shape the opportunity.
Why the AI Trade is only starting.. - Bubble Boi
Intel’s turnaround thesis is shifting from fabs alone to advanced packaging, with improved 18A yields and a possible 14A leapfrog over TSMC if execution continues.EMIB could enable denser, more repairable multi-die systems, while token demand and semiconductor capex support at least three more years of AI infrastructure spending; execution and speculative bottleneck trades remain the risks.
China just K*LLED Claude AI.. - GoodAlexander & David Choi
Chinese open-source models reportedly approach Opus or Sonnet performance on roughly $10,000 GPUs, while Qwen 3.6-class compute costs about $2 per hour.That 40-80x gap supports local inference and crypto-financed compute, but USD.AI’s $1 billion GPU-loan target, reference rate, and CHIP model remain unproven.
Cobie - The Future of Crypto, Capitalism & Society
Stablecoins, Polymarket, Hyperliquid and TradeXYZ show crypto rails gaining adoption despite waning attention to many investable assets.Tokenized equities, commodities and perpetuals could attract users and capital, with TradeXYZ reportedly forecasting Monday’s open within roughly 50 basis points.A new speculative cycle may follow, but AI-driven wealth concentration and private-market inequality remain unresolved risks.
How Bittensor (TAO) is Tokenizing Intelligence (Mark Jeffrey)
Bittensor is framed as Bitcoin’s programmable mining layer, with TAO subsidizing AI and digital-commodity subnets.Templar subnet 3 claims decentralized training of a 72-billion-parameter frontier model; Ridges reportedly built a Claude-and-Cursor competitor for $1 million-$2 million at $29 monthly, while regulation, hacks, and protocol design remain risks.
Running a Billion Dollar Hedge Fund During War - (SuspendedCap)
Oil, not battlefield headlines, sets the market boundary: above roughly $90, expected rate cuts could disappear and equities lose monetary-policy support.SuspendedCap is holding roughly 45% cash, capped-downside options, and selective NVIDIA, software, consumer, and European exposure while warning that memory’s commodity cycle may break within a year.AI demand may persist, but the cycle’s catalyst is capital discipline: if markets stop funding customer capex, semiconductor equities could still fall 30-40%.
How He Raised $650M During Crypto’s Biggest Crash (ft. Haseeb)
Dragonfly raised a $650 million fourth fund amid crypto’s “extinction-level” VC downturn, targeting durable financial infrastructure.Haseeb says Bitcoin, Ethereum, DeFi, and stablecoins reflect real monetary demand, unlike the industry’s “fever dream” of games, DAOs, and metaverse projects.Agentic payments remain tiny, leaving model improvement and autonomous commerce as unresolved catalysts.