Daniel Moore focuses on on-chain data, market structure, and crypto market dynamics. His work centers on explaining how liquidity, narratives, and blockchain activity interact across different market cycles. He writes analytical explainers and data-driven market pieces for BTCUSA.
Jeremy Allaire says traditional proof of work is wasted energy and argues AI inference could create a more productive model, reopening the debate around Bitcoin’s long-term role.
Jiang Xueqin’s theory that Bitcoin may have intelligence-agency origins is thin on proof, but it taps directly into the tension between Bitcoin’s cypherpunk mythology and its modern institutional role.
Anthropic’s Mythos AI can uncover vulnerabilities at unprecedented speed, potentially reshaping how risk propagates across DeFi and crypto infrastructure.
BIP-361 proposes a staged sunset for Bitcoin’s legacy signatures, pushing the network toward post-quantum migration before a real attack forces emergency action.
A “boring market” comment was followed by a sharp FF spike and reversal, exposing how fragile liquidity and narrative-driven trading still are in crypto.
