We're getting so much of this junk with the IPOs pressing.

The mimicbots are impressive but they're frustrating. We've hit the limit for pre-training data and now we're relying on RL for the next progressive steps and that gets asymptotic fast. The truth is that unsupervised learning hasn't inched forward and we don't know how it will, so we're left with benchmaxxing and LARPing about how they're escaping air-gapped configs using themal sensors, all in a desperate attempt to make the projected numbers look less insane so these people can cash out at IPO time. Everyone knows what's happening and it's embarrassing.