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
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.
@dair_ai: Can an LLM agent actually build a model of an environment it cannot see? This work makes the question gradeable. An age…
A research paper proposes agentic automata learning to evaluate whether LLM agents can infer hidden world models through interaction, finding that performance drops sharply as task complexity increases and that reasoning models outperform non-reasoning ones but still struggle.
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.