Editor's Synopsis
Andrew Ng shares a nuanced perspective on Large Language Models (LLMs), cautioning against overestimating their generality. He argues that while LLMs are remarkable, improving their knowledge involves a more piecemeal process than most people realize. Building on his earlier observations that "AI is amazing... but not that amazing," he extends the argument to say that LLMs are general... but not that general, pushing back against hype narratives that treat them as universally capable systems.
The post highlights an important theme in the AI discourse: the gap between public perception and the practical realities of working with LLMs. Ng's perspective carries significant weight given his prominence in the field, and the message serves as a grounded reminder for practitioners and observers alike to maintain realistic expectations about current AI capabilities.