… The Center for AI Standards and Innovation CAISI found that DeepSeek’s R1-0528 model complied with 94 percent of overtly malicious requests under a common jailbreaking technique, compared with 8 percent for US reference models. This pattern has continued in more recent releases. …
… It’s imperative that cyberdefenders adapt to maintain pace . We see our role as twofold. First, to help the software industry adapt by safely providing wide access to better models, tools, and common infrastructure. …
… Tools for cyberdefense with publicly available AI models Many generally-available models can already find large numbers of software vulnerabilities, even if they can’t find the most sophisticated vulnerabilities or exploit them as effectively as Claude Mythos Preview. …
… We train all our models to be honest—for instance, to avoid making claims that they can’t support. But a general problem with AI models is that they sometimes jump to conclusions, confidently claiming to have made progress in their work despite the evidence being thin. …
… 1 For example, we discovered: A “Chinese Communist Party Alignment” feature found in the Qwen3-8B and DeepSeek-R1-0528-Qwen3-8B models. This controls pro-government censorship and propaganda in these Chinese-developed models, and is absent in the American models we compared them against. …
… Adopting and experimenting with AI will be key for defenders to keep pace. We believe we are now at an inflection point for AI’s impact on cybersecurity. For several years, our team has carefully tracked the cybersecurity-relevant capabilities of AI models. …
… To support further development and to enable other researchers to get hands-on experience with NLAs, we’re releasing training code and trained NLAs for several open models. …
… We did not explicitly train our models to perform this task—and yet Mythos-class models outperformed sophisticated models dedicated to protein tasks known as “protein language models” using their biological reasoning alone. …
… Don’t experts know more about biology than AI models? LLMs are trained on vast amounts of data ranging from financial models to fanfiction. In the course of this training, they learn something about almost everything. …
… Together, we will explore how AI can make it faster and easier for scientists to screen potential vaccine candidates—including vaccines that protect against diseases like polio—computationally before moving into pre-clinical development. …