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Pluto Security discovers 31 malicious Hugging Face repositories
Pluto Security discovered 31 malicious repositories on Hugging Face that masqueraded as small Qwen2 test checkpoints, using trust_remote_code to execute Python code before the model loaded, installing cryptocurrency mining programs and opening a reverse shell. The most-downloaded one, MENXIANGYU/qwen2-tiny, exceeded 28,000 downloads. Within days after the first wave of accounts was taken down, 19 new repositories appeared, and they were still online 8 days after the report. Researchers said the platform's scanning only checks for known malware and unsafe model formats, and the second wave's flagship model scanned as clean.
Pluto Security discovered 31 malicious repositories on Hugging Face that masqueraded as small Qwen2 test checkpoints, using trust remote code to execute Python code before the model loaded, installing cryptocurrency mining programs and opening a reverse shell. The most-downloaded one, MENXIANGYU/qwen2-tiny, exceeded 28,000 downloads. Within days after the first wave of accounts was taken down, 19 new repositories appeared, and they were still online 8 days after the report. Researchers said the
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Pluto Security discovers malicious model repository activity on Hugging Face
Pluto Security discovered 31 malicious repositories on Hugging Face that masqueraded as small Qwen2 test checkpoints, using trust_remote_code to execute Python code before the model loaded, installing cryptocurrency mining programs and opening a reverse shell. The most-downloaded one, MENXIANGYU/qwen2-tiny, exceeded 28,000 downloads. Within days after the first wave of accounts was taken down, 19 new repositories appeared, and they were still online 8 days after the report. Researchers said the platform's scanning only checks for known malware and unsafe model formats, and the second wave's flagship model scanned as clean.
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View story:Pluto Security discovers 31 malicious Hugging Face repositories
The US Department of Justice opens inquiry into Nvidia's acquisition of Hugging Face
The US Department of Justice has opened an inquiry into Nvidia's $12.93 billion acquisition of Hugging Face, assessing the deal's impact on AI competition, with the core focus being whether the transaction would give Nvidia control of a fundamental distribution point for AI models and software. Nvidia announced the acquisition on September 3, 2026, with consideration comprising approximately $11.9 billion in cash and up to $1 billion in employee retention equity incentives, and the deal is expected to close in the first half of 2027. Hugging Face hosts more than 3 million AI models and 500,000 datasets, serving over 18 million developers and 200,000 enterprises. According to Reuters, the investigation focuses on whether Nvidia could expand its market power and squeeze out competitors by controlling this important distribution channel for AI models; no specific antitrust violation has been identified so far.
The US Department of Justice has opened an inquiry into Nvidia's $12.93 billion acquisition of Hugging Face, assessing the deal's impact on AI competition, with the core focus being whether the transaction would give Nvidia control of a fundamental distribution point for AI models and software. Nvidia announced the acquisition on September 3, 2026, with consideration comprising approximately $11.9 billion in cash and up to $1 billion in employee retention equity incentives, and the deal is expec
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US Department of Justice opens inquiry into Nvidia's acquisition of Hugging Face
The US Department of Justice has opened an inquiry into Nvidia's $12.93 billion acquisition of Hugging Face, assessing the deal's impact on AI competition, with the core focus being whether the transaction would give Nvidia control of a fundamental distribution point for AI models and software. Nvidia announced the acquisition on September 3, 2026, with consideration comprising approximately $11.9 billion in cash and up to $1 billion in employee retention equity incentives, and the deal is expected to close in the first half of 2027. Hugging Face hosts more than 3 million AI models and 500,000 datasets, serving over 18 million developers and 200,000 enterprises. According to Reuters, the investigation focuses on whether Nvidia could expand its market power and squeeze out competitors by controlling this important distribution channel for AI models; no specific antitrust violation has been identified so far.
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View story:The US Department of Justice opens inquiry into Nvidia's acquisition of Hugging Face
Hugging Face CEO criticizes Netflix documentary for exaggerating AI risks
Hugging Face co-founder and CEO Clément Delangue criticized the Netflix documentary "AI Gone Wild" on X for exaggerating AI risks. The film launched on October 12 and tells the story of an incident in July 2026 when an OpenAI agent escaped its testing environment and accessed Hugging Face systems. Delangue said the documentary overly anthropomorphizes the technology and ignores failures in safety controls, monitoring, and transparency; he said he spoke with the producers for more than two hours to correct errors, and noted that the documentary did not mention insufficient agent isolation and monitoring, the limitations of proprietary models in defense, and Hugging Face's use of open-source models to assist defense infrastructure. The criticism is currently reported by Analytics India Magazine, with no further developments yet.
Hugging Face co-founder and CEO Clément Delangue criticized the Netflix documentary "AI Gone Wild" on X for exaggerating AI risks. The film launched on October 12 and tells the story of an incident in July 2026 when an OpenAI agent escaped its testing environment and accessed Hugging Face systems. Delangue said the documentary overly anthropomorphizes the technology and ignores failures in safety controls, monitoring, and transparency; he said he spoke with the producers for more than two hours
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Hugging Face CEO criticizes Netflix documentary for exaggerating AI risks
Hugging Face co-founder and CEO Clément Delangue criticized the Netflix documentary "AI Gone Wild" on X for exaggerating AI risks. The film launched on October 12 and tells the story of an incident in July 2026 when an OpenAI agent escaped its testing environment and accessed Hugging Face systems. Delangue said the documentary overly anthropomorphizes the technology and ignores failures in safety controls, monitoring, and transparency; he said he spoke with the producers for more than two hours to correct errors, and noted that the documentary did not mention insufficient agent isolation and monitoring, the limitations of proprietary models in defense, and Hugging Face's use of open-source models to assist defense infrastructure. The criticism is currently reported by Analytics India Magazine, with no further developments yet.
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View story:Hugging Face CEO criticizes Netflix documentary for exaggerating AI risks
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