Rogo scales AI-driven financial research with OpenAI o1
In this video, we share how the o1 reasoning models can help in domains like coding, strategy, and research.
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Ver preçosWe’ve analyzed how ChatGPT responds to users based on their name, using AI research assistants to protect privacy.
OpenAI banned accounts likely belonging to a suspected China-based adversary tracked as SweetSpecter, using AI to research vulnerabilities, write code, and support spear-phishing activity.
Arizona State University embraces ChatGPT campus-wide to personalize learning, advance research, and prepare students for the future
OpenAI and Los Alamos National Laboratory are working to develop safety evaluations to assess and measure biological capabilities and risks associated with frontier models.
Highlighting innovative research and AI integration in cybersecurity
Exploring the technology behind our text-to-speech model.
Today we’re introducing new technology to help researchers identify content created by our tools and joining the Coalition for Content Provenance and Authenticity Steering Committee to promote industry standards.
OpenAI banned accounts associated with the PRC-origin operation "Spamouflage", using AI to research social media activity, generate posts, and debug a previously unreported website.
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, our finding is a…
We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.
We’re launching $10M in grants to support technical research towards the alignment and safety of superhuman AI systems, including weak-to-strong generalization, interpretability, scalable oversight, and more.
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
We developed a safety mitigation stack to ready DALL·E 3 for wider release and are sharing updates on our provenance research.
We’re forming a new industry body to promote the safe and responsible development of frontier AI systems: advancing AI safety research, identifying best practices and standards, and facilitating information sharing among policymakers and industry.
We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features.
