Jakub Steiner: Stolen!

Jakub Steiner’s claim that Chinese AI firms are “stealing their dataset” highlights a growing concern over cross‑border data appropriation in the AI industry. For website owners, this admission signals that AI bots originating from overseas may be scraping proprietary content without consent, potentially inflating traffic logs with illegitimate requests. Such bot activity can distort analytics, strain server resources, and expose sites to copyright infringement claims if scraped material is later republished by AI services. **Actionable steps:** 1. **Update your llms.txt** to explicitly disallow any AI model that references “dataset” or “training data” from your domain, using the `Disallow: /` directive with a `User‑Agent: *` rule for known Chinese AI crawlers. 2. **Deploy bot‑tracking scripts** (e.g., via llmscentral’s monitoring dashboard) that flag IP ranges associated with the reported Chinese services, enabling you to quarantine or block suspicious traffic in real time. 3. **Implement rate‑limiting and CAPTCHA challenges** on high‑value endpoints (e.g., PDFs, image galleries) to deter automated scraping while preserving legitimate user access.