Yesterday, @OrnnExchange's B200 and B300 indexes reached a new all-time high prices, with the B200 hitting $8.54/GPU-hour. It is clear that today's market is lacking GPU capacity, and that the companies building deploying capacity are looking to improve their credit. In the past trading week as the B200 rental price increased by 12.9%, $CRWV fell by 25.2%. Why does $CRWV move inversely to rising compute prices as a neocloud? 98% of Coreweave's Q2 revenue came from committed contracts, 72% from three customers, and most of its $104B backlog is recognized after mid-2028. CoreWeave's backlog is locked at fixed prices. These higher market rates matter for new contracts they sign, so the question is where rental rates end up when their contracts roll off. Ornn's index tracks transacted prices in order to capture what buyers are actually willing to pay for on-demand GPU rentals, real signal for tracking the value of compute.

Volatility on misunderstood newsflow seems endemic to AI: Deepseek. Liberation Day. Kimi. SALP. Gross to net confusion for Anthropic. OpenAI taking share from Anthropic. Gross to net confusion for OpenAI. A mistranslation of Hock Tan’s comments yesterday.

Allegedly “the most important chart” for understanding the current state of the AI economy. The model layer seems to be going through a period of commodification as non-frontier models saturate everyday use while frontier models compete fiercely. Compute layer sees massive increase in total demand for compute regardless of the source or use case.

Yardeni Research Chart of the Day (October 10, 2026) Regulatory overhang plus soft cyclical demand inside China is a stubborn combination. CQQQ's underperformance vs QQQ reflects structural discounts the market keeps repricing. How long before that changes?

bill ackman on why large, boring companies now drop 25% in a day, something he says almost never happened when he started: "a quarter of every american business, plus or minus, is owned by some combination of vanguard, state street and northern trust. when you shrink the float of a public company, the marginal buyer and seller is going to have more impact on the stock price." "the marginal buyer and seller today is a citadel or a millennium. they operate with a large amount of leverage, very large gross books, and they're increasingly short-term." "most investors are very short-term focused because they're compensated that way. they won't invest in a company unless they're confident the price is going to be higher on december 31st." passive owns the float, pods set the price, and both are structurally unable to hold through a bad quarter. that inability is the opportunity.

Open-weight models that decrease margins at the model layer are positive for AI infra, exhibit 1001.2 Since the @silicondata “token index,” which captures both price and mix, peaked on May 31: B300 prices are up 38% B200 prices are up 10% Other GPU indices are up *much* more.

Your next users are machines Agents burn nearly 5x the tokens people do, up 14x in six months

Token prices keep falling and GPU rental prices keep rising Intelligence gets cheaper, usage goes up, and a model ends up in every piece of software

Energy capacity = economic capacity, in one chart There are no low electricity, rich countries

China generated half as much electricity as the US in 2005 Today it generates more than 2x