OpenAI News
Trading Inference-Time Compute for Adversarial Robustness
Trading Inference-Time Compute for Adversarial Robustness
Topics: Infrastructure
Entities: Infrastructure
Concept
Infrastructure
OpenAI News
Stargate Infrastructure
OpenAI, and our strategic partners, are thrilled about our shared vision for the Infrastructure of AGI. We are energized by the challenges we face and are excited by the prospect of partnering with firms across the industrial base to deliver against our...
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI News
OpenAI’s comments to the NTIA on data center growth, resilience, and security
This comment was submitted in response to a request for information from the National Telecommunications and Information Administration (NTIA).
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI News
Fine-tuning now available for GPT-4o
Update on May 8, 2026: OpenAI is winding down the fine-tuning platform. The platform is no longer accessible to new users but existing users of the fine-tuning platform will be able to create training jobs for the coming months. All fine-tuned models will...
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI News
Improved Techniques for Training Consistency Models
Consistency models are a nascent family of generative models that can sample high quality data in one step without the need for adversarial training.
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
OpenAI News
Surging developer productivity with custom GPTs
Paf adopted ChatGPT Enterprise across its entire company, with engineers using custom GPTs on a daily basis to speed up routine development tasks. Paf also integrated ChatGPT Enterprise into the grit:lab coding academy (gritlab.ax), training the next...
Topics: Infrastructure
Entities: ChatGPTInfrastructureChatGPT Enterprise
OpenAI News
Improving India’s critical care infrastructure
India faces a significant challenge in healthcare accessibility due to a high doctor-to-patient ratio, geographic barriers, and economic constraints. For instance, the ratio of oncologists to cancer patients in India is approximately 1:2,000(opens in a new...
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI News
Canva's AI-powered Magic Studio Used 5 Billion Times and Counting
Canva is a visual communication platform, enjoyed by more than 175 million people monthly to make presentations, videos, documents, websites, social media graphics and more. A majority of the world’s knowledge workers lack design training, but Canva’s...
Topics: Infrastructure
Entities: Infrastructure
OpenAI News
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow adversaries to overwrite a model's original instructions with their own malicious prompts.
Topics: Infrastructure
Entities: Infrastructure
OpenAI News
Video generation models as world simulators
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that...
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
OpenAI News
OpenAI Data Partnerships
Working together to create open-source and private datasets for AI training.
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructureOpenAI Data
OpenAI News
Point-E: A system for generating 3D point clouds from complex prompts
While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to produce a single sample. This is in stark contrast to state-of-the-art generative image models,...
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure