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The license. Why the AI content market pays the brand-name corpus and strands the long tail.
Analysis of how licensing deals favor large publishers, sidelining small publishers, 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 Anthropic’s unique mission trust structure and how it compares to OpenAI’s conversion history, highlighting implications for public market valuation.
The calendar technicality. Why Elon Musk’s lawsuit against Sam Altman and OpenAI lost on timing, not on substance.
A California jury dismissed Elon Musk’s lawsuit against OpenAI on procedural grounds, leaving key legal questions unresolved and opening IPO prospects.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Testing shows Kronos foundation model does not outperform Brownian motion in 5-minute BTC predictions, challenging assumptions about modern models’ edge.
The CFO’s new operating system. Anthropic, OpenAI, and the consulting margin that just got compressed.
AI labs Anthropic and OpenAI are now selling integrated operating systems for enterprise finance, backed by PE investments and new deployment architectures.
The gigawatt gap. Why China is structurally positioned for AI power and the US is engineering around its grid.
China leverages centralised planning and renewable infrastructure for AI power, challenging US dominance at the physical energy layer of AI deployment.
Raw-feed licensing. The contract that doesn’t exist yet.
A missing industry-standard contract for raw-feed licensing in AI downstream rewriting exposes a structural legal and economic gap, similar to early music licensing disputes.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Kronos, a foundation model for financial data, does not outperform Brownian motion in short-term Bitcoin price predictions, according to recent testing.
