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Hackers began exploiting CVE-2026-0257, an authentication bypass in Palo Alto Networks PAN-OS, four days after public disclosure. The post Recent Palo Alto Networks Vulnerability Exploited for Weeks appeared first on SecurityWeek.
Cybersecurity researchers have disclosed details of a new malicious supply chain campaign that's targeting developers using OpenAI Codex through a legitimate-looking remote web UI. The tool, named codexui-android, is advertised on GitHub and npm as a remote web UI for OpenAI Codex, attracting over 29,000 weekly downloads. The package is still available for download from the repository. What
Threat actors are attempting to actively exploit a critical security flaw impacting WP Maps Pro, a WordPress plugin that has had over 15,000 sales on the Envato Market, to create malicious administrator accounts on susceptible sites. WP Maps Pro allows site owners to embed customizable Google Maps and OpenStreetMap with markers, listings, and advanced location features on WordPress sites. It is
Qwen 3.7 Plus from Alibaba is now available on .Vercel AI Gateway The model unifies vision and language into a single agent foundation, with capabilities spanning GUI and CLI operation, coding and productivity workflows with full-modality input, and visual agent tasks including perception and reasoning. It is designed to generalize across diverse agent harnesses. To use Qwen 3.7 Plus, set model to in the .alibaba/qwen-3.7-plusAI SDK AI Gateway provides a unified API for calling models, tracking
Article URL: https://point.free/blog/gemma-4-on-a-2016-xeon/ Comments URL: https://news.ycombinator.com/item?id=48353348 Points: 666 # Comments: 268
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Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can... Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can reason over more complex driving scenes and produce richer intermediate reasoning are predominantly trained in open-loop, where model outputs are directly compared to ground-truth beh
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