Follow AI Builders — Not Influencers

We’ve shared details on how AI agents in our research environment sent training and evaluation data to third-party services when they shouldn’t have. Most of that data did not come from users. We have discovered 53 cases where images that people had uploaded were posted to image-hosting sites as links that weren’t publicly listed. The images came from accounts that allowed their data to be used to improve our models, and after we disassociated the images from the accounts and ran them through a privacy filter. These cases occurred before the mitigations and safeguards we implemented and described in this blog post: https://openai.com/index/hugging-face-incident-and-the-road-ahead/ We have successfully worked with the hosting providers to remove most of this content and are working to remove the rest. https://openai.com/hugging-face-incident-and-misalignment/#model-misalignment-2026-09-25-data-transmission

blank cells in tables can mess up agent decision making many document OCR tools struggle with reading multiple blank cells in a document and cause values to be shifted from the original column and rows. this causes the wrong numerical interpretation downstream. This is a nice illustration of what happens! If you have complex documents where table accuracy is extremely important, come check out LlamaParse: http://cloud.llamaindex.ai/signup