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The calendar technicality. Why Elon Musk’s lawsuit against Sam Altman and OpenAI lost on timing, not on substance.
Elon Musk’s lawsuit claiming OpenAI violated charitable trust laws was dismissed on May 18, 2026, due to timing issues, not on the merits.
The license. Why the AI content market pays the brand-name corpus and strands the long tail.
An analysis of how licensing favors large publishers, locking out small sites, and the potential of collective licensing to address this imbalance.
The cleaner cap table. Why Anthropic’s public-benefit structure dodges OpenAI’s charitable-trust problem — and trades it for a governance question of its own.
Analysis of how Anthropic’s mission-focused, trust-based structure offers a different governance approach compared to OpenAI’s conversion history, impacting public market perceptions.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Kronos foundation model tested against Brownian motion for 5-minute Bitcoin predictions; results show no significant outperformance on out-of-sample data.
The CFO’s new operating system. Anthropic, OpenAI, and the consulting margin that just got compressed.
AI labs Anthropic and OpenAI are moving from model sales to vertical integration of AI-driven CFO operating systems, backed by PE firms and strategic partnerships.
The gigawatt gap. Why China is structurally positioned for AI power and the US is engineering around its grid.
China leverages centralized planning and renewable infrastructure to close the gigawatt gap in AI deployment, challenging US dominance at the power layer.
Raw-feed licensing. The contract that doesn’t exist yet.
The industry lacks a standard contract for raw-feed licensing for downstream AI rewriting, creating a significant legal and economic gap.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Kronos, a foundation model, does not outperform Brownian motion in short-term Bitcoin price predictions, according to recent testing results.
Introducing Forezai · TradingAgents — a committee of LLMs decides paper-trades
Forezai·TradingAgents introduces a multi-LLM system that autonomously executes paper-trades, advancing AI-driven market research and decision-making.
