AI's Next Big Leap: Moving Beyond Pure LLMs in Virtual Worlds
Originally Published 3 months ago — by Marcus on AI
Rich Sutton, a Turing Award winner known for advocating scaling in AI, has publicly distanced himself from the idea that pure large language models (LLMs) are the ultimate solution, aligning more with critics who believe that scaling alone is insufficient for true AI progress. This shift reflects a broader consensus among leading AI thinkers that the era of relying solely on LLM scaling is coming to an end, emphasizing the need for more diverse approaches like world models, neurosymbolic methods, and innate constraints.