What fundamental research exists anwering if / if not AGI can be achieved through LLMs?
Summary
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.
Similar Articles
Can AGI be achieved with LLMs alone?
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.
Is AGI going to be in an LLM?
A speculative discussion on whether AGI will emerge from LLMs or alternative technologies like quantum computing.
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.
Can LLMs realise we're looking at a problem the wrong way?
The article questions whether large language models can independently recognize and challenge foundational assumptions in science to achieve paradigm-shifting breakthroughs, drawing parallels to human innovations like Einstein's theory of gravity.
Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
This paper argues that large language models struggle with causal reasoning and long-horizon planning due to a mismatch between sequence prediction and reasoning over latent environment dynamics, and introduces the Latent Dynamics Inference perspective along with the Flux environment to study these limitations.