◉ PSYCHOHISTORY

Live pass Jun 26 — AI capital apex: Anthropic $965B (S-1 Jun 1, leapfrogs OpenAI $730B) + Apollo/Blackstone $36B TPU private-credit deal (largest chip-debt ever) + Karpathy: the sorting-state compute engine-room financialized

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The call · June 26, 2026: Live pass tracking the AI capital apex — Anthropic's valuation and the largest chip-debt deal on record.
What happened: Anthropic raised $65B at a $965B valuation (leapfrogging OpenAI's $730B) and Apollo/Blackstone arranged a $36B private-credit TPU facility — read as the sorting-state's compute engine-room being financialized; scored neutrally as public news, held, no holder named.

A June 26 news item: Anthropic raised $65B at a $965B valuation (passing OpenAI's $730B), and Apollo plus Blackstone arranged a $36B private-credit facility to buy Google TPUs for it — described as the largest chip-financing debt transaction in history. The engine reads the AI compute engine-room as now financed through leveraged private credit, while the lab itself allocates $200M to study labor displacement and $150M for retraining.

The engine's record — word for word
[Live pass Jun 26 2026] Anthropic raised $65B (Series H) at a $965B post-money valuation, filed its draft S-1 Jun 1, and now leads OpenAI ($730B); Claude 5/'Mythos' pending. Apollo Global + Blackstone arranged a $36B private-credit facility to buy Google TPUs for Anthropic (Broadcom-backed) — the largest chip-financing debt transaction in history. Andrej Karpathy joined the pretraining team. The lab's own Jun-10 Economic Policy Framework allocates $200M to study labor displacement + $150M to retraining. Engine read: the Maxwell's-Demon compute ENGINE-ROOM (landauer / maxwells_demon_sorting_state) is now FINANCIALIZED via leveraged private credit, and the displaced-labor (caste_ladder) tier is named by the apex lab itself. [Factual scoring of public news; Anthropic is the model vendor — scored neutrally as news.] Held; name no holder.
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Part of the Psychohistory engine — 2,426 entities, 6,314 documented connections. Open data, built to be proven wrong.