The two competing theories of how AI spreads both got their scoreboards printed this weekend — and they are not close. America's answer required Nvidia to become the credit rating, the equity investor and the chip supplier for the same building. China's answer required a download button, and produced 3 billion of them in six months.
Read the Ohio structure as it now stands. OpenAI is an investor in SB Energy. SB Energy is building OpenAI's campus. Nvidia is guaranteeing SB Energy's debt — roughly $100B of credit support, down from the $250B reported in July — because OpenAI cannot borrow at investment grade on its own name. Nvidia is now also negotiating to buy up to $3B of SB Energy equity, half at signing and half at an IPO that could price next month. And the campus will run Nvidia chips.
That is three parties holding four roles in a single closed loop, with a public-market exit being arranged as the release valve. It is the most capital-intensive method of distributing AI capability anyone has ever attempted, and its financing has been restructured twice in eight days.
On the same weekend, Bloomberg and Hugging Face reported that Alibaba's open weights passed 3 billion downloads in six months — roughly 4.6x Google's and Meta's 2026 totals combined — with 151,000+ derivative models built on Qwen, and the newest release on Ollama within days. That distribution required no guarantee, no rating agency, no IPO and no landlord.
Which is precisely the argument Dario Amodei spent Saturday on X trying to defeat: that open weights decentralize power. His position is that they do not — that diffusion is not the same as distributed control, and that frontier-capable systems need pre-launch vetting whether the weights are public or not. He may well be right about control. But the download counter is measuring something real, and it is not measuring it in Ohio.
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