How OpenAI Uses Artificial Intelligence

OpenAI announces the deployment of a custom ChatGPT product on GenAI. mil, the Department of Defense's secure enterprise AI platform used by 3 million civilian and military personnel.

BNY has embraced generative AI across its enterprise by building a centralized AI Hub and an internal platform called Eliza, enabling employees to create AI agents that enhance client relationships...

OpenAI has launched 'OpenAI for Ireland', a collaborative initiative with the Irish Government and local organizations to empower Irish SMEs and entrepreneurs in leveraging AI for growth and innova...

OpenAI and Los Alamos National Laboratory have partnered to explore the safe use of multimodal AI models in laboratory settings to enhance bioscience research.

The article discusses the proceedings of a workshop focused on Confidence-Building Measures (CBMs) for Artificial Intelligence, addressing potential risks posed by foundation models to internationa...

The article discusses the pre-training mitigations implemented for DALL·E 2 to reduce risks associated with powerful image generation models.

The article discusses the development of a neural network capable of playing Minecraft through a method called Video PreTraining (VPT), leveraging a large dataset of unlabeled gameplay videos.

The article outlines a research agenda developed by OpenAI to assess the economic impacts of code generation models, particularly focusing on Codex, an AI model trained on code.

The article discusses the discovery of multimodal neurons in CLIP, an artificial intelligence model developed by OpenAI.

The article discusses the capabilities and limitations of large language models (LLMs), particularly focusing on GPT-3, and explores the societal impacts of their widespread use.

The article discusses the advancements in AI efficiency, highlighting a significant decrease in the compute required to train neural networks since 2012.

Jukebox is a neural network developed by OpenAI that generates music, including rudimentary singing, as raw audio across various genres and artist styles.

The article discusses the importance of verifiability in AI development and presents a multi-stakeholder report detailing ten mechanisms to enhance the verifiability of AI systems.

Safety Gym is a suite of environments and tools designed to measure progress towards reinforcement learning agents that adhere to safety constraints during training.

The article discusses the six-month follow-up on the GPT-2 language model, detailing its release, partnerships for research, and insights gained regarding the model's societal implications and pote...

Spinning Up in Deep RL is an educational resource designed to help individuals learn deep reinforcement learning (RL) through clear examples, documentation, and tutorials.

The article presents the results of the Retro Contest, which focused on the development of algorithms that can generalize from previous experiences in gaming environments.

The Retro Contest is a transfer learning competition focused on evaluating reinforcement learning algorithms' ability to generalize from prior experiences in unseen video game levels.

The article 'Requests for Research 2. 0' presents a new set of seven unsolved problems identified during OpenAI's research.