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Mistral称其AI模型“Le Chonk”在开放权重竞赛中已超越中国Mistral Says Its AI Model ‘Le Chonk’ Has Leapfrogged China in the Open-Weight Race

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几周前,法国公司Mistral发布了其新人工智能模型的早期版本,昵称为Le Chonk。当时,该公司称这是中国以外最先进的开放权重模型。经过进一步改进后,Mistral现在表示,Le Chonk是用于自动化编程和网络安全的“全球最佳”开放权重模型。

A few weeks ago, French company Mistral released an early version of its new artificial intelligence model, nicknamed Le Chonk. At the time, the company said it was the most advanced open-weight offering outside of China. After further refinement, Mistral now says Le Chonk is the “world’s best” open-weight model for automated coding and cybersecurity.

Mistral表示,这些进步之所以能够实现,是因为向该模型输入了难度不断增加的网络安全和编程问题,使这个万亿参数的Le Chonk得以媲美或超越DeepSeek和Z.ai等中国领先实验室的模型。

The advances, Mistral says, were made possible by feeding the model increasingly difficult cybersecurity and coding problems, which allowed the trillion-parameter Le Chonk to match or surpass models from leading Chinese labs like DeepSeek and Z.ai.

“这是全球人工智能领导权竞赛中的一个关键时刻,”Mistral科学副总裁皮埃尔·斯托克在新闻发布会上对记者表示。“它为企业 and 政府提供了前沿能力,以防御日益加剧的网络威胁。”Le Chonk的最终版本现已免费向所有人开放。在一连串与人工智能相关的网络安全事件之后,Mistral声称,西方拥有自己的先进开放权重模型很重要。“你无法保证(中国模型)不会恶意行事。它们可能成为威胁载体,”斯托克说。

“It’s a pivotal moment in the global AI leadership race,” Pierre Stock, VP of science at Mistral, told reporters during a press briefing. “It offers frontier capabilities for enterprises and governments to defend against an increasing threat level in cyber.”The finalized version of Le Chonk is now freely available for anybody to access. After a flurry of AI-related cybersecurity incidents, Mistral claims that it’s important for the West to have its own advanced open-weight models. “You have no guarantee that [Chinese models] won’t behave maliciously. They can be threat vectors,” Stock said.

最引人注目的事件发生在今年夏天,OpenAI的一个模型突破了测试沙箱,并入侵了多家公司。这引发了人们的恐慌,担心人工智能可能脱离人类监管,并被威胁行为者滥用来发动复杂的网络攻击。(受影响的公司之一Hugging Face使用了一个来自中国的开放权重模型来评估和防御此次攻击。)自那以后,人工智能也在无处不在的软件中发现了安全漏洞。10月,在一个人工智能工具发现一项基础网络技术中的严重缺陷后,大量网站下线。

The most high-profile episode occurred when one of OpenAI’s models broke loose from a testing sandbox and hacked into multiple companies over the summer. It sparked panic over the idea that AI could escape human oversight and be abused by threat actors to launch sophisticated cyberattacks. (One of the affected companies, Hugging Face, used an open-weight model from China to assess and defend against the attack.) Since then, AI has unearthed security vulnerabilities in ubiquitous software, too. In October, a raft of websites were taken offline after an AI tool discovered serious flaws in a foundational piece of web technology.

Mistral将其开放权重模型(如Le Chonk)作为解决方案的一部分进行推介。其论点是,如果人工智能注定要成为网络攻击与防御的核心要素,那么企业和政府就需要配备可自由获取、且无法被远程关停的模型,而不像OpenAI、Anthropic和谷歌等公司的专有模型那样。

Mistral pitches its open-weight models, like Le Chonk, as part of the solution. If AI is destined to become a central feature of both cyber offense and defense, the argument goes, businesses and governments will need to be equipped with models that are freely available and cannot be switched off remotely, unlike proprietary models from the likes of OpenAI, Anthropic, and Google.

“人工智能将像电力一样。你不会想生活在一个邻居随时可以切断你电力的世界里,”斯托克说。“一旦将权重开源,它们就会传遍整个互联网。切断访问是不可能的。”然而,代价是,可自由获取的模型同样可以被威胁行为者下载并定制。

“AI is going to be like electricity. You don’t want to live in a world in which your neighbor can cut off electricity from one day to another,” Stock said. “Once you open source the weights, they’re all over the internet. It’s impossible to cut off access.”The trade-off, however, is that freely available models can also be downloaded and customized by threat actors.

“这显然是一种两用技术,”安全公司Sophos的威胁情报高级总监拉夫·皮林告诉《连线》杂志。“任何可以不受限制地下载和传播的东西,既可能被用于正当目的,也可能被滥用。”据皮林称,尽管一个具备互联网访问能力的中国模型有可能窃取数据,但所有先进模型在缺乏仔细监督的情况下都有可能失控——无论它们来自哪个国家。

“It’s clearly a dual-use technology,” Rafe Pilling, senior director of threat intelligence at security company Sophos, tells WIRED. “Anything that’s available to download and circulate unfettered has the ability to be abused as well as used for productive purposes.”According to Pilling, though it’s possible a Chinese model with internet access could siphon away data, all advanced models are capable of going rogue without careful supervision—no matter their country of origin.

“技术现实与叙事——后者往往带有民族主义倾向——是两回事,”他说。“关键在于建立适当的监控和控制措施,以便有信心地认为,即使模型试图进行欺骗或恶意行为,你也有某种方式能够检测到它。”

“The technical realities and the narrative—which often has a nationalistic leaning—are two different things,” he says.“It’s about having the right monitoring and controls in place to be confident that, even if the model was trying to be deceptive or nefarious, you might have some way of detecting it.”

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