Concept
Models
Introducing Trusted Access for Cyber
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards against misuse.
Topics: Models
GPT-5.3-Codex System Card
GPT‑5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT‑5.2-Codex with the reasoning and professional knowledge capabilities of GPT‑5.2.
Topics: Models
Entities: Models
Introducing GPT-5.3-Codex
GPT-5.3-Codex is a Codex-native agent that pairs frontier coding performance with general reasoning to support long-horizon, real-world technical work.
Topics: Models
Entities: Models
Training Design for Text-to-Image Models: Lessons from Ablations
A Blog post by Photoroom on Hugging Face
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
Operation “No Bell”: Coordinated criticism of the US and allies
OpenAI banned accounts linked to a previously unreported, likely Russia-origin operation we dubbed "No Bell", using AI to produce criticism of the US and its allies for audiences across Africa.
Topics: Models
Operation “Date Bait”: AI-enabled scam targeting loveseekers
OpenAI banned accounts that very likely originated in Cambodia and used AI for scam outreach to Indonesian loveseekers, including translation and engagement.
Topics: Models
Silver Lining Playbook: Likely China-origin activity targeting US persons
OpenAI banned likely China-origin accounts using AI to research US persons, locations, and social-engineering tactics.
Topics: Models
Operation “Trolling Stone”: Russia-linked influence activity
OpenAI banned accounts linked to a previously unreported operation we dubbed "Trolling Stone", using AI to generate comments about an alleged Russian cult leader’s arrest in Argentina.
Topics: Models
Operation “False Witness”: Fake recovery service impersonating authorities
OpenAI banned accounts that very likely originated in Cambodia and used AI to pose as recovery services, law firms, and authorities targeting people affected by fraud.
Topics: Models