Combating online child sexual exploitation & abuse
Discover how OpenAI combats online child sexual exploitation and abuse with strict usage policies, advanced detection tools, and industry collaboration to block, report, and prevent AI misuse.
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Seguridad y regulación
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ENEOS Materials brings ChatGPT Enterprise to manufacturing
ENEOS Materials uses ChatGPT Enterprise to speed research, improve plant design safety, and cut HR analysis time by 90%, with 80% reporting better workflows.
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Teen safety, freedom, and privacy
Explore OpenAI’s approach to balancing teen safety, freedom, and privacy in AI use.
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Working with US CAISI and UK AISI to build more secure AI systems
OpenAI shares progress on the partnership with the US CAISI and UK AISI to strengthen AI safety and security.
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A joint statement from OpenAI and Microsoft
OpenAI and Microsoft sign a new MOU, reinforcing their partnership and shared commitment to AI safety and innovation.
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SafetyKit scales risk agents with OpenAI’s most capable models
Discover how SafetyKit leverages OpenAI GPT-5 to enhance content moderation, enforce compliance, and outpace legacy safety systems with greater accuracy .
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Why language models hallucinate
OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.
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What exactly does word2vec learn?
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. In our new paper , we finally provide such a…
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Collective alignment: public input on our Model Spec
OpenAI surveyed over 1,000 people worldwide on how AI should behave and compared their views to our Model Spec. Learn how collective alignment is shaping AI defaults to better reflect diverse human values and perspectives.
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OpenAI and Anthropic share findings from a joint safety evaluation
OpenAI and Anthropic share findings from a first-of-its-kind joint safety evaluation, testing each other’s models for misalignment, instruction following, hallucinations, jailbreaking, and more—highlighting progress, challenges, and the value of cross-lab collaboration.
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Helping people when they need it most
How we think about safety for users experiencing mental or emotional distress, the limits of today’s systems, and the work underway to refine them.
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Blue J’s approach for scaling fast in complex, regulated domains
Blue J scaled to three countries and more than 3,000 firms thanks to focus, domain depth, and the right OpenAI model.
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OpenAI’s letter to Governor Newsom on harmonized regulation
We’ve just sent a letter to Gov. Gavin Newsom calling for California to lead the way in harmonizing state-based AI regulation with national—and, by virtue of US leadership, emerging global—standards.
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From hard refusals to safe-completions: toward output-centric safety training
Discover how OpenAI's new safe-completions approach in GPT-5 improves both safety and helpfulness in AI responses—moving beyond hard refusals to nuanced, output-centric safety training for handling dual-use prompts.
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gpt-oss-120b & gpt-oss-20b Model Card
We introduce gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models available under the Apache 2.0 license and our gpt-oss usage policy.
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Scaling security with responsible disclosure
OpenAI introduces its Outbound Coordinated Disclosure Policy to guide how it responsibly reports vulnerabilities in third-party software—emphasizing integrity, collaboration, and proactive security at scale.
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Introducing HealthBench
HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.
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Evolving OpenAI’s structure
An update from the OpenAI board on transitioning its for-profit entity to a Public Benefit Corporation, reinforcing its mission-driven structure under nonprofit oversight while enabling greater impact and long-term alignment with the public good.
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