If you want to talk facts, then those critics are similarly on weak grounds and critiquing feelings more than facts. There has been no actual sign of scaling c

If you want to talk facts, then those critics are similarly on weak grounds and critiquing feelings more than facts. There has been no actual sign of scaling ceasing to work, in medium after medium, and most of their criticisms are issues with how LLM tools are embedded in architectures which are still incredibly early/primitive and still refining how to use transformers effectively. We haven't even begun using error correction techniques from analog engineering disciplines properly to boost the signal of LLMs in practical settings. There is so much work to do with just the existing tools. "AI is massive hype and shoved into everything" has more grounding as a negative feeling of people being overwhelmed with technology than any basis in fact. The faults and weaknesses are buoyed by people trying to acknowledge your feelings than any real criticism of a technology that is changing faster than the faults and weakness arguments can be made. Study machine learning and come back with an informed criticism.