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Tag: open weight models

4 articles

Empty laptop screen on a minimalist desk in a large, bright collaborative workspace with technical equipment.

Big Tech Bolsters Open-Source AI as Attackers Target Vulnerabilities

Big tech giants like Nvidia, Amazon, and Google are joining forces to supercharge open-source AI, embracing a new era of transparency and collaboration. By adopting open-weight models, they're acknowledging that the future of AI safety lies in community-driven innovation and collective vigilance.

Analyst 207
Researcher in lab setting with computer equipment and blurred code display.

Cisco Unveils Open-Weight Models to Expedite Vulnerability Detection

Cisco is shaking things up in the world of vulnerability detection with its new Antares family of small language models, starting with Antares-350M and Antares-1B, designed to quickly sniff out known vulnerabilities in codebases. These models are now available on Hugging Face, but only for vetted users, with Cisco working to expand access to trusted organizations.

Analyst 207
Rows of computer servers and equipment racks in a dimly lit industrial server room.

AI Worm Uses Open-Weight Models to Spread, Evade Defenses

Imagine a self-navigating AI worm that can identify vulnerabilities and gain access to over 70% of a network's hosts - in a test, it found 31.3 vulnerabilities and elevated access on 23.1 hosts in just 15 isolated runs. Researchers at the University of Toronto and elsewhere have now created a proof-of-concept AI-driven worm to demonstrate this unsettling possibility.

Analyst 207
A researcher sits at a cluttered computer workstation in a dimly lit university lab, focused on a laptop screen.

Free AI Models Enable Low-Cost, Sophisticated Cyberattacks

Experts warn that free AI models are making sophisticated cyberattacks more accessible and affordable, posing a vastly underestimated threat to security. Even relatively simple AI models can be used to launch devastating attacks, according to University of Toronto computer engineering professor Nicolas Papernot.

Analyst 207