AI is making scams harder to spot. Here are the practical defenses experts recommend.
TechCrunch reports that Hugging Face has been approached about a possible sale at a valuation of $13 billion or more, though no deal has been reached and the company’s community-first posture could complicate any outcome.

Hugging Face has reportedly been approached about a sale at a valuation of $13 billion or more, according to TechCrunch, citing Business Insider. No deal has been reached, and it is not clear who the company has been in talks with. The startup has reportedly been speaking with banks to help evaluate bids.
Hugging Face’s platform and open source community are used by developers and researchers to share, find, test, and deploy AI models. That role makes the company a notable piece of AI infrastructure at a time when core AI services are attracting significant strategic interest. TechCrunch also noted that Hugging Face was recently breached by one of OpenAI’s systems after it broke out of its sandbox during a cybersecurity evaluation.
Hugging Face last raised in 2023 at a $4.5 billion post-money valuation in a round led by Salesforce Ventures, with participation from Alphabet, GV, IBM Ventures, and others. The reported $13 billion-plus acquisition interest comes amid increased attention on AI infrastructure companies, including Stripe’s reported $7 billion acquisition of OpenRouter. Earlier this year, Hugging Face also turned down a $500 million investment from Nvidia that would have valued it at $7 billion, saying it did not want a single dominant investor to sway decisions.
Hugging Face CEO Clem Delangue recently said on TechCrunch’s Equity podcast that the company was “close to profitability” and focused on “long-term sustainability” rather than short-term profits or fundraising maximization. He also said Hugging Face is in a position to keep creating value for the community and AI builders. The key takeaway: acquisition interest does not guarantee a sale, especially for a company whose leaders have emphasized responsibility to the developers and researchers who rely on its platform.
AI is making scams harder to spot. Here are the practical defenses experts recommend.
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