Hugging Face首席执行官克莱芒·德朗格周三在迈阿密举行的WIRED World Fair（连线世界博览会）上表示，未来的AI风险最有可能来自大公司在秘密构建模型，而开放模型则处于防御地位。
Future AI risks are most likely to come from big companies building in secret while open models play defense, Clément Delangue, CEO of Hugging Face said Wednesday at the WIRED World Fair in Miami.
“大部分风险实际上是由少数几家在闭门造车的参与者制造的，”德朗格说。“缓解这种风险的主要方式将是完整的生态系统，意味着让每个人都能在开放环境中构建。”Hugging Face是最早遭受流氓AI攻击的公司之一。今年7月，OpenAI正在测试的智能体冲破了沙箱限制，并选择攻击这家初创公司，以寻找它们被设定要解决的问题的答案。该公司利用一款名为GLM-5.2的中国开放权重模型来调查并应对这波攻势。
“Most of the risk is actually created by a couple of players building behind closed doors,” Delangue said. “Most of the mitigation of this risk will be the full ecosystem, meaning everyone being able to build in the open.”HuggingFace is one of the first companies to be attacked by a rogue AI. This July, agents being tested by OpenAI broke free of their sandbox and chose to attack the startup in search of answers to problems they had been set to solve. The company used an open-weight Chinese model called GLM-5.2 to investigate and counter the onslaught.
德朗格指出，智能体的失控行为迄今主要来自那些在秘密测试前沿AI的大公司。他表示，未来的风险——可能涉及模型的生物能力或其递归自我改进的能力——也很可能从这些封闭实验室中涌现。
Delangue noted that agent misbehavior has so far mostly come from big companies that are testing frontier AI in secret. He said that future risks, perhaps involving the biological capabilities of models or their capacity to improve themselves recursively, are likely to emerge from these closed labs, too.
德朗格提到，Hugging Face选择不对OpenAI因该次攻击提起法律诉讼，但他补充说，部署AI智能体的人应对其行为承担法律责任。“网络攻击是非法的，我认为确保智能体发动的网络攻击也属于非法至关重要，”他在会上表示。“我们不想创造一个没有归属、没有人为网络攻击负责的环境。”与一些警告该技术可能对人类构成生存风险的AI研究人员形成对比，德朗格表示，他的P(doom)——即这种情况发生的概率——“接近零”。“还有许多其他议题可能毁灭世界，”他说。
Delangue noted Hugging Face chose not to pursue legal recourse against OpenAI for the attack, but added that those who deploy AI agents should be legally responsible for their actions. “Cyber-attacks are illegal, and I think it’s really important we make sure that agentic cyberattacks [are] illegal,” he told the event. “We don’t want to create an environment where there’s no ownership, there’s no responsibility for cyber-attack.”In contrast to some AI researchers who have warned that the technology could pose an existential risk to humanity, Delangue said his P(doom)—the probability of this happening—is “close to zero.”“There are many other topics that could destroy the world,” he said.
Hugging Face是一个知名的开放权重或可下载AI模型平台。其用户可以共享和访问该公司托管的模型，或将它们下载到自己的计算机系统中。
Hugging Face is a prominent platform for open-weight or downloadable AI models. Its users can share and access models hosted by the company or download them to their own computer systems.
全球领先的人工智能芯片制造商英伟达宣布，将于今年9月以129.3亿美元收购该平台。收购消息公布时，Hugging Face表示其用户约为1800万。
Nvidia, the world’s dominant AI chipmaker, announced that it would acquire the platform for $12.93 billion this September. When the acquisition was announced, Hugging Face said it had around 18 million users.
德朗格还在《连线》世界博览会上透露，Hugging Face目前拥有超过2000万AI开发者，这表明其增长迅速。德朗格还透露，Hugging Face已售出5万台Microduck——这是Hugging Face推出的一款可爱的双腿机器人，可使用AI进行编程。
Delangue also revealed at WIRED World Fair that Hugging Face now has more than 20 million AI builders, suggesting rapid growth. Delangue also revealed that HuggingFace has sold 50,000 Microducks, a cute, two-legged robot from HuggingFace that can be programmed using AI.
德朗格在会上表示，开源AI的成功对于防止少数公司和个人完全主导未来也至关重要。
Delangue told the conference that the success of open source AI will also be crucial in preventing a few companies and individuals from completely dominating the future.
“我们确实很可能最终走向一个只有少数公司控制大部分AI的世界。”德朗格说，“存在非常强烈的自然趋势，因为（少数公司）确实垄断了人才、算力和能力。”德朗格表示，让更多人下载并定制AI将带来一个更加民主化的技术未来。这位Hugging Face首席执行官表示，随着AI需要越来越多的资源，英伟达的收购将使该公司具备竞争能力。
“We could really clearly end up in a world where only a few companies control the majority of AI.”Delangue said. “There are very strong natural tendencies because [a few companies] really monopolize talent, compute, and capabilities.”Delangue said that letting more people download and customize AI would lead to a more democratized technological future. The Hugging Face CEO said that the Nvidia acquisition would enable the company to compete as AI requires ever-more resources.