@firt
Pinned post
Two new image models for developers: GPT-Image-2.6 Flare and Sunburst.
Flare generates images in as little as six seconds. Sunburst brings higher-quality generation and greater consistency across edits.
Image markup and SVG exports give you more ways to refine and use what you create.View quoted post on X
Google Jules, the new async development AI agent now available for testing in beta.View quoted post on X
Today we’re introducing Gemini 4 Carbon — our newest frontier model from @GoogleDeepMind.
Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities. Built for sustained agentic workflows, it delivers improved performance across domains — with greater alignment, transparency, and follow-through to respond to high-pressure tasks.
We’re rolling it out starting this week to cyber defenders through our Fairwind Program, with expanded access as soon as possible.View quoted post on X
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.View quoted post on X
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing…
