This entire article reads like a salty tirade from someone with severe tunnel vision. Not really sure how he can non-ironically reference his 2022 opinion that

This entire article reads like a salty tirade from someone with severe tunnel vision. Not really sure how he can non-ironically reference his 2022 opinion that "deep learning is hitting a wall" and expect to be taken seriously. AI/ML companies are looking to make money by engineering useful systems. It is a fundamental error to assume that scaling LLMs is the only path to "more useful". All of the big players are investigating multimodal predictors and other architectures towards "usefulness".