Models & Labs
Anthropic Expands Claude Mythos to Critical Infrastructure
TechCrunch AIhigh confidence
Why it matters
- →Claude Mythos enhances cybersecurity by identifying zero-day vulnerabilities in critical infrastructure.
- →The expansion to 150 organizations across 15 countries underscores the model's global impact.
- →Competition with OpenAI's GPT-5.5-Cyber highlights the growing importance of AI in cybersecurity.
Anthropic is expanding its Project Glasswing initiative, deploying the Claude Mythos AI model to over 150 organizations in more than 15 countries. This expansion targets critical infrastructure sectors, including power and healthcare, to identify software vulnerabilities. Key partners include Okta, Samsung, and NATO, underscoring the model's role in global cybersecurity. The move comes amid competition from OpenAI's GPT-5.5-Cyber, as both companies aim to lead in AI-driven cybersecurity solutions.
Read originalMore from TechCrunch AI
More in Models & Labs
Models & Labsmodels
v0.22.1rc2 resolves CUTLASS fmin issue
The v0.22.1rc2 release addresses a specific compatibility issue with CUTLASS fmin, crucial for initializing DeepSeek-V4. This fix ensures smoother integration and functionality for developers relying on this setup. While it may seem like a minor update, resolving such compatibility issues can significantly enhance the reliability and performance of AI models. This update is particularly relevant for developers working with the DeepSeek-V4 model, ensuring they can proceed without encountering initialization errors.
vLLM Releases
Models & Labsmodels
llama.cpp b9491 release addresses PDL race conditions
The b9491 release of llama.cpp resolves PDL race conditions by eliminating 'restrict' from PDL kernel headers, which were previously causing compatibility issues. This update introduces preprocessor directives to ensure performance is maintained on older architectures while simplifying the use of 'restrict' through macros. Additionally, the release addresses the PDL restrict issue on Hopper architectures. These changes are crucial for developers as they enhance compatibility and performance across different operating systems and hardware configurations, making llama.cpp more robust and versatile.
