How to spend $25 billion on science: OpenAI’s staggeringly rich research charity gets under way

OpenAI’s launch of the OpenAI Foundation’s $25 billion research charity, aimed at curing disease through massive life‑sciences funding, signals the company’s intent to embed AI deeply into biomedical research pipelines and public health data ecosystems. For website owners, this means a surge in AI‑driven bots that will crawl scientific publications, clinical trial registries, and health‑related forums to feed the foundation’s models. Expect higher volumes of automated requests targeting data‑rich pages, especially those offering APIs or downloadable datasets. This traffic will be less “generic” crawling and more purpose‑built scraping for training and inference, potentially stressing server resources and raising privacy compliance concerns for any patient‑oriented content. **Actionable steps:** 1. **Update your llms.txt** to explicitly list any health‑related endpoints you wish to exclude from AI training, using the new `Disallow-For-LLM` directive introduced in the latest llms.txt spec. 2. Deploy a bot‑detection layer (e.g., rate‑limited challenge‑response) that flags high‑frequency requests with user‑agents matching known OpenAI research crawlers, allowing you to throttle or block them without affecting regular users. 3. Monitor your server logs for spikes in requests to `/api/v1/clinical-data` or similar routes and set up automated alerts in your analytics dashboard to react quickly to abnormal AI‑bot activity.