Comment by James Landay

“Open weights are progress. You can download the model, run it on your own machine, keep it out of someone else’s data pipeline. But you still can’t see how the thing was built, what it was trained on, or why it behaves the way it does. That’s not an open model. That’s open distribution. [...] Relying solely on closed models isn’t inherently safer, since they can be breached, misused, or fail in ways outsiders have no way to detect. Concentrating frontier capability behind a handful of closed systems just means those blind spots are concentrated too.”