OpenAI News
PaperBench: Evaluating AI’s Ability to Replicate AI Research
We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.
Topics: Agents
Entities: Agents
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Agents
AI agents, computer-use systems, and automation workflows.
OpenAI News
Introducing next-generation audio models in the API
For the first time, developers can also instruct the text-to-speech model to speak in a specific way—for example, “talk like a sympathetic customer service agent”—unlocking a new level of customization for voice agents.
OpenAI News
New tools for building agents
Today, we’re releasing the first set of building blocks that will help developers and enterprises build useful and reliable agents. We view agents as systems that independently accomplish tasks on behalf of users. Over the past year, we’ve introduced new...
OpenAI News
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.
Topics: Agents
Entities: Agents
OpenAI News
MavenAGI launches automated customer support agents powered by OpenAI
MavenAGI is a new software company for the AI era. They recently launched an AI customer service agent, built on the flexibility of GPT-4, which a number of companies like Tripadvisor, Clickup and Rho are already using to save time and better serve their...
OpenAI News
Klarna's AI assistant does the work of 700 full-time agents
Klarna is using AI to revolutionize personal shopping, customer service, and employee productivity.
Topics: Agents
Entities: Agents
OpenAI News
Practices for Governing Agentic AI Systems
Agentic AI systems—AI systems that can pursue complex goals with limited direct supervision—are likely to be broadly useful if we can integrate them responsibly into our society. While such systems have substantial potential to help people more efficiently...
OpenAI News
Learning to play Minecraft with Video PreTraining
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools,...
Topics: Agents
Entities: Agents
OpenAI News
Safety Gym
We’re releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents that respect safety constraints while training.
Topics: AgentsInfrastructure
Entities: AgentsInfrastructure
OpenAI News
Benchmarking safe exploration in deep reinforcement learning
Reinforcement learning (RL) agents need to explore their environments in order to learn optimal policies by trial and error. In many environments, safety is a critical concern and certain errors are unacceptable: for example, robotics systems that interact...
Topics: AgentsInfrastructure
Entities: AgentsInfrastructure