This. Majority of reactions are irrationally exuberant and often pablum for the vacuous “content” creation cycle. It’s as if, if one doesn’t affirm the super positive, life altering results surely to come, you may get left behind. Let’s see what actual problems ChatGPT solves.

Fair point. But you can be correct and petty at the same time. Remember that he blamed the people using Galactica casually as the reason it got paused. Then wonders and asks people why ChatGPT hasn't faced the same backlash given that "it spouts sh-t*.

Although one could argue that usable LLMs in production are quite revolutionary. NVIDIA'S GauGan or GAN based txt to image models, the base diffusion models have been there for a year or two but hasn't received the same publicity and profits as Stable Diffusion or Midjorney. It's basically the same line of framework.

It's narrow-minded thinking to brush the architecture upgrades and the engineering work that made it possible -- which has always been his statements. But that is a fair point considering he is mainly a researcher not an engineer.

> some bad experiences thst led to these feelings

I work as an Applied Researcher so I do both research and engineering. No beef on it. It's bad to say it as beef. It's like "dev-QA" relationship. Researchers would want the largest models possible yielding the best metrics, Engineers want the easiest to deploy and monitor. The former also undermines what engineers do as just packaging it up. Yann just said it above.