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A $50 million fund to build with communities

OpenAI is launching an initial $50 million fund that supports nonprofit and community organizations, informed by the independent OpenAI Nonprofit Commission report.

2025.07.18읽기
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Introducing ChatGPT agent

Introducing ChatGPT agent: it thinks and acts, using tools to complete tasks like research, bookings, and slideshows—all with your guidance.

2025.07.17읽기
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ChatGPT agent System Card

ChatGPT agent System Card: OpenAI’s agentic model unites research, browser automation, and code tools with safeguards under the Preparedness Framework.

2025.07.17읽기
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Five Big Improvements to Gradio MCP Servers

2025.07.17읽기
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Back to The Future: Evaluating AI Agents on Predicting Future Events

2025.07.17읽기
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Consilium: When Multiple LLMs Collaborate

2025.07.17읽기
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Statement from the OpenAI Board of Directors on the Nonprofit Commission Report

The Board of Directors thanks the members of the independent OpenAI Nonprofit Commission for their extensive work and engagement.

2025.07.17읽기
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Invideo AI uses OpenAI models to create videos 10x faster

Invideo AI uses OpenAI’s GPT-4.1, gpt-image-1, and text-to-speech models to transform creative ideas into professional videos in minutes.

2025.07.17읽기
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OpenAI nonprofit jam

At OpenAI, we build tools to help people solve hard problems—including nonprofits working on the frontlines of their communities. The OpenAI Academy is teaming up with the Walton Family Foundation, Emerson Collective, and a network of local nonprofit organizations to host the Nonprofit Jam—a one-da…

2025.07.17읽기
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Ettin Suite: SoTA Paired Encoders and Decoders

2025.07.16읽기
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Migrating the Hub from Git LFS to Xet

2025.07.15읽기
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Intellectual freedom by design

ChatGPT is designed to be useful, trustworthy, and adaptable—so you can make it your own.

2025.07.15읽기
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The EU Code of Practice and future of AI in Europe

OpenAI joins the EU Code of Practice, advancing responsible AI while partnering with European governments to drive innovation, infrastructure, and economic growth.

2025.07.11읽기
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Kimina-Prover: Applying Test-time RL Search on Large Formal Reasoning Models

2025.07.10읽기
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Building the Hugging Face MCP Server

2025.07.10읽기
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ScreenEnv: Deploy your full stack Desktop Agent

2025.07.10읽기
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Asynchronous Robot Inference: Decoupling Action Prediction and Execution

2025.07.10읽기
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Upskill your LLMs With Gradio MCP Servers

2025.07.09읽기
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Creating custom kernels for the AMD MI300

2025.07.09읽기
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Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders

2025.07.09읽기