A Stanford PhD student built a system that turns any research paper into a working AI agent. It's called Paper2Agent. I watched her demo it live and couldn't believe what I was seeing. Here's exactly what happened. She pasted a 40-page NeurIPS paper into the tool. Within seconds it extracted the core method, identified the dataset, and started scaffolding agent code that actually implements the paper's approach. But the wild part was what came next. She typed: "Apply this method to my dataset and answer questions like the paper's author would." The agent didn't just summarize. It ran the methodology. On her own data. And when she asked it why it made certain decisions, it cited the exact sections of the paper. What normally takes a PhD student 3 weeks of implementation just happened in under an hour. She's not smarter than other researchers. She just stopped reading papers and started running them. (Link in the comments)