OpenAI has introduced GPT-Red, an advanced LLM designed as a 'super-hacker' to rigorously test and enhance the safety of its other AI models. This innovative system automates critical red-teaming evaluations, enabling OpenAI to proactively identify vulnerabilities and strengthen defenses against sophisticated cyberattacks. The move signifies a major leap in AI safety protocols, aiming to keep pace with evolving threats.

OpenAI's GPT-5.6 Sol Ultra has solved the 50-year-old Cycle Double Cover Conjecture, a fundamental problem in graph theory. The proof was generated in under an hour using 64 subagents working in parallel.

OpenAI has officially launched its highly anticipated new family of models, spearheaded by GPT-5.6, marking a significant leap forward in generative AI capabilities. This release promises substantial improvements across diverse areas, including a critical focus on bolstering cybersecurity applications and overall model safety.

OpenAI has launched GPT-5.6, a new family of models that promises to deliver more intelligence from every token, stronger performance per dollar, and more capability on demand. The models have been trained to get more useful work from every token and have achieved state-of-the-art results across various fields. GPT-5.6 sets a new standard for both intelligence and efficiency, outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.

OpenAI introduces GPT-5.6, a groundbreaking AI model that sets new standards for intelligence and efficiency. This model achieves state-of-the-art results in various fields, outperforming previous models at lower costs. GPT-5.6 is available in three variants: Sol, Terra, and Luna, catering to different needs and budgets.

OpenAI CEO suggests that video games can be a superior training data source than the internet for achieving AGI, with significant implications for the AI industry.

OpenAI's latest research demonstrates how large language models can automate training data labeling for entity matching, reducing manual effort by 99% and slashing costs. This breakthrough enables faster, cheaper AI deployment for businesses.