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News of the day
1. Nvidia is reportedly set to acquire AI platform Hugging Face for $12.9 billion, a significant move to expand its influence in the open-source AI ecosystem. → Read more
2. OpenAI sees executive departures amid IPO push, details Hugging Face breach, and expands ad presence in India. → Read more
3. AI watermarking embeds signals in content or attaches metadata for detection, crucial for EU AI Act compliance by August 2026. → Read more
4. AI agents need intelligent rules enforced at the data layer, not just agent-level guardrails, for effective and auditable operations. → Read more
Our take
Hi Dotikers!
Nvidia buys Hugging Face, and it is no small thing
According to The Information, Nvidia has agreed to acquire Hugging Face for 12.9 billion dollars. Neither company is confirming, and Business Insider points out that nothing has been signed. But the mere fact that the conversation is happening at that price says a lot. In late 2025, Nvidia offered to invest 500 million at a 7 billion valuation. Hugging Face said no. Eight months later, the offer has almost doubled.
Why the rush? Because Hugging Face is the GitHub of open models. Hundreds of thousands of models, and a community that discovers, adapts and deploys them. Nvidia already dominates compute. With this platform, it controls distribution too. And while OpenAI, Google and Anthropic are designing their own chips to rely on it a little less, Nvidia is making sure the open source ecosystem stays firmly plugged into its cards. If you sell the shovels, you might as well buy the map of the mine.
The catch is neutrality. Hugging Face prided itself on being hardware agnostic, AMD and Intel included. Hard to keep believing that once it sits under the roof of the manufacturer that already tried to grab ARM. Open AI will go on existing, just a little less open and a little more optimised for a single vendor. European regulators would do well to read this file before the ink dries.
The contrast with yesterday's article is delicious. MIT unveiled CrysVCD, a tool that helps AI design stable materials, including ones that could better cool data centres spending 30% of their energy on air conditioning. On one side, research is trying to make the infrastructure leaner and more accessible to small labs. On the other, the main supplier of that infrastructure is locking the front door. Two visions of AI moving in parallel. Only one of them has 12.9 billion on the table.
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