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The Information reports Nvidia has struck a deal to acquire Hugging Face, the "GitHub of AI" and the default distribution layer for open-weight models. Nvidia was rebuffed at a $7 billion valuation just last year, so the price nearly doubled. If it closes, the chipmaker that supplies the compute would also own the commons where open models live — an antitrust conversation waiting to happen.
At Hot Chips, OpenAI published the first benchmarks for its in-house inference silicon, claiming 1.5x to 1.9x more AI work per watt than Nvidia Blackwell at peak throughput across three models. Caveat: Jalapeño uses HBM4, so the honest comparison is Vera Rubin — where it still edges ahead, without multi-token prediction. It's inference only, and OpenAI insists it will keep buying Nvidia.
Anthropic will rent roughly 460 megawatts from Nscale's West Virginia campus — enough juice for about 345,000 homes — running on Nvidia's Vera Rubin chips coming online late next year. It's the largest slice of Nscale's $51 billion backlog and follows Microsoft's exit from the site. Anthropic has now inked capacity with Volta, AMD, SpaceX, Amazon, Google, and Broadcom in eight months.
Backers say annualized revenue should land between $100 billion and $120 billion by year-end, up from $47 billion in May — and they're pitching a total addressable market north of $30 trillion. That would be the largest IPO in history, topping SpaceX's $1.77 trillion June debut. Executives reportedly haven't fixed a number themselves; the company is in its SEC quiet period.
Internal documents show Meta intended to shrink teams by up to 60 percent and hand the work to supervised AI agents. Zuckerberg killed the second wave hours before the first layoffs on May 19. The agents underdelivered, security and reliability incidents jumped 40 percent, firefighting time rose 70 percent, and staff revolted when they realized keystroke logging was training their replacements.
The Chinese lab is closing a mega-round and prepping a possible Shanghai STAR Market listing targeted for 2027. It's a striking repricing for a company that made its name on efficiency rather than capital intensity. Domestic capital is clearly betting China's frontier labs go public at home, not abroad.
Reuters reports the Chinese startup is negotiating revenue-sharing deals — reportedly up to 30 percent — to put its 2.8-trillion-parameter K3 model on all three major US clouds. That would be an unusually direct channel for a Chinese frontier model into American enterprise stacks. Expect Washington to have opinions.
The new speech-to-text model auto-detects and handles more than 85 languages, posting a 2.6 percent word error rate on recorded audio with 70 percent lower latency than its predecessor. Transcription has been a quietly commoditizing market, and Google just moved the price-performance floor again. Voice agents are the obvious downstream beneficiary.
The open-weight model posts competitive numbers against much larger rivals at a fraction of the cost, and notably runs end-to-end on domestic Chinese AI processors. That's the part worth watching — it's a proof point that export controls are shaping architecture, not stopping it.
Anthropic added a Chromium browser directly into the Claude desktop app, so the agent can navigate sites, fill forms, and pull data from dashboards with no extension and no access to your personal browsing profile. Rolling out to Pro, Max, and Team. Anthropic is upfront that prompt injection remains the live risk.
