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OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.

GitHub updates security incident investigation: An employee's device was compromised, involving a contaminated VS Code extension

GitHub has updated the details of the investigation into the unauthorized access incident of its internal repositories: GitHub detected and contained an incident yesterday involving an employee's device being compromised, which involved a maliciously implanted VS Code extension. GitHub removed the malicious extension, isolated the affected terminals, and immediately initiated an incident response. Current assessments show that only GitHub's internal repositories experienced data exfiltration, and the approximately 3,800 repositories claimed by the attackers are roughly consistent with the investigation results. GitHub has prioritized rotating critical credentials, is analyzing logs, verifying credential rotations, and monitoring subsequent activities, with a complete report to be released after the investigation is concluded.Additionally, Slow Mist's Chief Information Security Officer 23pds commented on this incident, stating: "By analyzing leaks from cybercrime forums, hackers may have used Anthropic's Mythos security AI to precisely breach GitHub's defenses and steal information from about 4,000 core internal repositories: including the source code for Copilot, the algorithms for CodeQL, the Actions runtime, and the entire billing system. Further analysis of this code could lead to subsequent attacks, having a profound security impact on the integration of the open-source community."
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