I'm working on so101-nexus, an open-source sim-to-real stack for the SO-100/SO-101 robot arms where you can record teleop demos, behavior-clone a policy, then fine-tune with RL. The goal is to be very compatible with Gymnasium, MuJoCo, and LeRobot.
There are plenty of "newer" technologies that closely mimic more "boring" tech too. For example, Svelte feels a lot like writing vanilla HTML and JS, Supabase is all built entirely on PostGRES instead of a shiny, noSQL database.
I remember there being a way where you could stash in memory even if the memory was cleared (my calc teacher used to clear memory before exams but I was able to retain some functions)
I know there are murmurs that synthetic data (i.e. using rendering software with 3D models) was used to train some generative models, including OpenAI Sora; seems like it's the only plausible way right now to get the insane amounts of data needed to capture such statistical regularities.