Can AGI be achieved with LLMs alone?
Summary
This post explores the debate among top AI figures regarding whether LLMs alone can achieve AGI or if additional breakthroughs like world models are required.
Similar Articles
Can current LLM architecture actually get us to AGI?
A software engineer questions whether current LLM architecture can achieve AGI, pointing out limitations like autoregressive generation and lack of real-time learning.
Is AGI going to be in an LLM?
A speculative discussion on whether AGI will emerge from LLMs or alternative technologies like quantum computing.
What fundamental research exists anwering if / if not AGI can be achieved through LLMs?
A question seeking fundamental research or papers on whether AGI can or cannot be achieved through large language models, looking to move beyond opinion-based discussion.
Do you think World Models will lead to AGI?
A discussion on whether world models, which learn internal environment representations to simulate physics and plan actions, could lead to AGI by overcoming the limitations of reactive predictive text models like LLMs.
The current situation of AGI being achieved and RSI is possibly real.
The author argues that current AI models can solve narrowly defined tasks and speculates that iterative improvements could address LLM bottlenecks, potentially leading to AGI through recursive self-improvement.