This Hacker News thread discusses **AlphaNIST**, a robotics research project by Nvidia and University of Washington researchers that tackles high-precision assembly tasks (based on the NIST board challenge) using reinforcement learning. In the comments, co-author Rosario Scalise explains that the system relies on high-fidelity, CAD-accurate simulations, physics modeling, and success-guided state sampling to enable simulation-to-real (sim2real) transfer without risking real-world hardware damage. Commenters largely praised the robot's organic, emergent dexterity in assembly tasks that typically require human hands. However, the post sparked significant debate over the name "AlphaNIST." While the authors explained it was an homage to DeepMind’s foundational RL work (such as AlphaGo and AlphaZero), several commenters criticized the choice. Critics argued that the "Alpha" naming convention is strongly associated with Google DeepMind, causing confusion and appearing to leverage another organization's brand for publicity. Others defended the team, arguing that Google does not hold exclusive rights to the prefix.