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  1. OpenAI Research | Publication

    Dec 18, 2025 · OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work …

  2. Research | OpenAI

    Aug 7, 2025 · OpenAI’s o series models are advanced reasoning AI systems that use chain-of-thought processes to solve complex STEM problems through logical, step-by-step analysis.

  3. OpenAI Newsroom | Research

    6 days ago · Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.

  4. PaperBench: Evaluating AI’s Ability to Replicate AI Research | OpenAI

    Apr 2, 2025 · Agents must replicate 20 ICML 2024 Spotlight and Oral papers from scratch, including understanding paper contributions, developing a codebase, and successfully executing experiments.

  5. Why language models hallucinate - OpenAI

    Sep 5, 2025 · Our new research paper argues that language models hallucinate because standard training and evaluation procedures reward guessing over acknowledging uncertainty.

  6. Introducing Prism - OpenAI

    Jan 27, 2026 · Prism is an early step toward that future. We’re excited to learn from researchers using Prism today and to continue building toward tools that help science move faster—together. Try Prism …

  7. To demonstrate that our methodology can scale reliably, we train a 16 million latent autoencoder on GPT-4 [OpenAI, 2023] residual stream activations. Because improving reconstruction and sparsity is …

  8. Prism | A free, LaTeX-native workspace for scientists | OpenAI

    AI that understands your paper Project-aware AI works across the full context of your manuscript, including past drafts and revisions. It helps clarify ideas, check reasoning, and refine …

  9. CLIP: Connecting text and images | OpenAI

    Jan 5, 2021 · We further explore challenges that CLIP poses in our paper ⁠ and we hope that this work motivates future research on the characterization of the capabilities, shortcomings, and biases of …

  10. We instead use the term in a broader sense and study generalization to unseen datasets. We motivate this as a proxy for performing un-seen tasks, as aspired to in the zero-data learning paper of …