Was this written by an LLM?

Honestly, I find the image generation stuff much more impressive. 1963 Burning Man really freaked me out.

No it has higher standards.

Frankly I feel the same way about diffusion models. It's nothing more than "whoa cool!" for me. After doing research in NLP in graduate school and doing NLP in the real world, I'm increasingly feeling a huge disconnect between academic research and the real world.

OK but maybe don't miss the key element here: DDPM captures distribution modes with very high precision, in a supervised manner. Massive improvement !

It's seen as something big because what we observe in the responses implies a level of reasoning that is much greater than what we expected. It seems that operating in the language domain allows you to make use of that in a way that currently can't be done with other methods. The older systems you describe cannot do this and were therefore less interesting, although it's worth noting that plenty of current users prefer to operate their devices with text based inputs using Siri, Alexa or Google Assistant.

Reads more like an HMM

By a bigram.