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Source document· February 18, 2026

Bitcoin Can Send 'Any Amount' Of Money Anywhere On Earth In Minutes On A Bank Holiday, Says Michael Saylor — Critics Aren't Buying It

View original at finance.yahoo.com
Bitcoin Can Send 'Any Amount' Of Money Anywhere On Earth In Minutes On A Bank Holiday, Says Michael Saylor — Critics Aren't Buying It Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below…
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  • Bitcoin can send any amount of money anywhere on earth in minutes on a bank holiday for $0.44

    80% confidence
  • Scalability and bandwidth concerns from the 2015-17 blocksize wars have been overcome by markets and innovation

    80% confidence
  • Low Bitcoin fees reflect lack of use, and future halvings will threaten miner viability as subsidy plus fees become insufficient

    80% confidence
  • Bitcoin's low fees are not the result of innovation but of historically low transaction demand

    80% confidence
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What we're seeing
AI Funding Surge: Capital Floods Fintech, Foundation Models, and Autonomous Systems
A concentrated burst of AI-linked funding on 2026-08-28 pushed well over $1.5B into companies spanning fraud/identity fintech (Socure, which also acquired Fravity), foundation models (Stability AI), AI agents and enterprise tooling (Instinct, Generalist AI, Emerald AI, Owner), and AI-adjacent autonomous/aerospace ventures (Gatik, Regent Craft). The breadth and simultaneity of these rounds signal that investor appetite for AI is not concentrated in a single vertical but is broadening into applied and infrastructure-adjacent domains, with consolidation (Socure-Fravity) beginning alongside fresh capital formation.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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