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Hugging Face CEO Weighs In on Anthropic AI Model’s ‘Dangerous’ Label

As government scrutiny over Anthropic’s Mythos AI model takes center stage in the public debate over AI’s national security concerns, Hugging Face CEO Clem Delangue says being labeled “too dangerous” may actually be good marketing for frontier AI firms. He joins Ed Ludlow on “Bloomberg Tech” to explain. ——– Like this video? Subscribe to Bloomberg…

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As government scrutiny over Anthropic’s Mythos AI model takes center stage in the public debate over AI’s national security concerns, Hugging Face CEO Clem Delangue says being labeled “too dangerous” may actually be good marketing for frontier AI firms. He joins Ed Ludlow on “Bloomberg Tech” to explain.
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4 Comments

4 Comments

  1. @evklinken

    June 29, 2026 at 3:24 pm

    Can’t agree more with French Ewan McGregor there. Hugging Face and open models democratize AI in a way that makes the tech sustainable. OpenAI and Anthropic are far from safe bets.

  2. @mahamoudcullinae

    June 29, 2026 at 3:34 pm

    The Rovum exchange $ROV presale is almost sold out, hurry before it’s gone forever!

  3. @witHonor1

    June 29, 2026 at 8:28 pm

    Can anyone demonstrate the “danger” rather than arbitrarily claim it. I won’t hold my.

  4. @eaman11

    June 29, 2026 at 9:26 pm

    Meanwhile Deepseek releases the models and the papers with the documentations that everybody can use to make the technology better.

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Bloomberg Technology

Crusoe CEO: Data Center Indusry Has a ‘Marketing Issue’

Crusoe CEO Chase Lochmiller discusses the AI infrastructure company’s nearly $4 billion in fresh funding sending its valuation to almost $31 billion. He also discusses how it will fuel the company’s push to build AI infrastructure spanning data centers, cloud computing and managed AI services. He says Crusoe could eventually enter the public markets and…

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Crusoe CEO Chase Lochmiller discusses the AI infrastructure company’s nearly $4 billion in fresh funding sending its valuation to almost $31 billion. He also discusses how it will fuel the company’s push to build AI infrastructure spanning data centers, cloud computing and managed AI services. He says Crusoe could eventually enter the public markets and pushes back against growing opposition to data centers, arguing the industry has a “marketing issue” and needs to better communicate its impact on water, jobs and local tax revenue. He joins Ed Ludlow on “Bloomberg Tech.”
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Former FTC Technologist Warns Against an AI ‘Cartel’

As frontier AI labs seek greater coordination on safety, Neil Chilson, Head of AI Policy at the Abundance Institute and former FTC Chief Technologist, warns that government-backed antitrust exemptions could create a durable “cartel” that ultimately harms competition. He argues companies can collaborate on safety standards without suspending antitrust rules, and that existing consumer-protection and…

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As frontier AI labs seek greater coordination on safety, Neil Chilson, Head of AI Policy at the Abundance Institute and former FTC Chief Technologist, warns that government-backed antitrust exemptions could create a durable “cartel” that ultimately harms competition. He argues companies can collaborate on safety standards without suspending antitrust rules, and that existing consumer-protection and liability laws already provide tools for addressing harms caused by AI. He joins Ed Ludlow on “Bloomberg Tech.”
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Anthropic Investor Franklin: AI Safety Concerns Won’t Slow Spending

Calls to “pace” development at the AI frontier are unlikely to translate into a slowdown in infrastructure spending, according to Sara Araghi, Franklin Templeton Portfolio Manager and Franklin Venture Partner. She argues that even if labs temper some model training, growing inference demand will continue to require enormous amounts of compute. Araghi also discusses why…

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Calls to “pace” development at the AI frontier are unlikely to translate into a slowdown in infrastructure spending, according to Sara Araghi, Franklin Templeton Portfolio Manager and Franklin Venture Partner. She argues that even if labs temper some model training, growing inference demand will continue to require enormous amounts of compute. Araghi also discusses why heightened AI safety concerns could boost demand for cybersecurity and why she doesn’t expect the debate to derail funding or anticipated AI IPOs. She joins Ed Ludlow on “Bloomberg Tech.”
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