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anthropic

Anthropic is an artificial intelligence safety and research company focused on developing safer and more controllable AI systems. Founded in 2021, Anthropic is committed to ensuring the transparency and reliability of AI technology through research and technological development, reducing potential risks and negative impacts. The company was founded by former employees of OpenAI and aims to promote ethical and safety standards in the field of AI.
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first_img Anthropic: Zhipu GLM-5.3 has end-to-end network utilization capabilities

On September 29, 2026, the Anthropic Frontier Red Team published a research article authored by Andrew Fasano, Marius Fleischer, Cole McFaul, Robert Xiao, and Tripp Gallagher. The article states that about five months ago, Anthropic released the Claude Mythos Preview through Project Glasswing in a limited manner, as it can autonomously construct end-to-end exploit capabilities; trusted defenders discovered over 10,000 vulnerabilities in critical software based on this, and similar capabilities have now spread to other models.The article mentions that the GLM-5.3 developed by ZhiPu AI (known overseas as Z.ai) is similar to the Claude Mythos Preview, possessing strong autonomous end-to-end exploit development capabilities, but it is released with open weights and lacks meaningful abuse restrictions. In simulated tests, the success rate of bypassing GLM-5.3 defenses using simple methods was about 64% to 100%, while the same methods failed to make the protected Claude model perform harmful tasks; these capabilities can also be used by defenders to strengthen systems.On September 17, 2026, the National Institute of Standards and Technology's Artificial Intelligence Standards and Innovation Center assessed that GLM-5.3 is currently the most powerful open-weight model in terms of network capabilities, lagging behind the U.S. frontier by about four months in its network benchmarks, and Anthropic stated that the capability conclusions are generally consistent.

first_img Jensen Huang: AI model distillation is competition, not theft

NVIDIA CEO Jensen Huang stated in an interview with CNBC's "Squawk Box" on Monday that training or learning with competitors' products is part of competition, and he refused to label AI model distillation as theft. When asked if distillation is not robbery, Huang said that it is competition. He mentioned that people can test others' products, and NVIDIA's products are sometimes taken apart to the bare bones to understand how they work; he would prefer that others do not learn from NVIDIA products, but competition makes everything better. If one does not want others to use their products, they can identify customers and discontinue services.U.S. officials have accused Chinese AI companies of using distillation, which involves training models with outputs from other models, extracting capabilities from U.S. systems. U.S. Treasury Secretary Scott Bansen stated in July that this practice is theft and threatened to impose sanctions on overseas companies that utilize distillation to extract capabilities from U.S. models. The White House did not immediately respond to CNBC's request for comment, and U.S. officials are considering measures against overseas companies that use distillation.Earlier this month, the U.S. Cybersecurity and Infrastructure Security Agency accused Chinese AI companies of conducting industrial-scale knowledge distillation activities, violating the terms of use for U.S. companies. AI company Anthropic stated earlier this month that it found Alibaba's Qwen series models and DeepSeek engaging in illegal distillation. The Chinese side denied these accusations.
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