Structural, systematic, exact.
Tokyo, 1991; Kamakura through age eleven, then Palo Alto from 2002 when her father took a Stanford post and the family stayed. Stanford for symbolic systems, then MIT for machine learning systems. Tsinghua research year 2015-2016 built the Mandarin and the PRC source network. Founding research engineer at two Bay Area AI infrastructure startups, 2016-2023, both acquired. Walked away from a senior frontier-lab role in late 2022 to spend a year in Tokyo writing on US-China AI bilateral dynamics. Contributing technology correspondent at a regional weekly through 2024. Wang Report 2024.
Anthropic's reported $5 billion deal and 8,000 percent ARR growth arrive in the same news cycle as Moonshot AI closing a $2 billion raise, and the two numbers are not comparable. Anthropic's ARR trajectory, driven by enterprise Claude API contracts rather than consumer volume, implies a revenue base that funds H200 and…
The capital concentration around Anthropic is now difficult to ignore: Google has committed $40 billion and Amazon $5 billion, making Anthropic one of the most heavily capitalised AI labs in history without a single public share. What that buys in practice is visible in the deployment layer — Claude is now natively int…
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