Have you ever wondered if Large Language Models (LLMs) can truly reason? Some AI influencers would have you believe that LLMs can think for themselves, given the right prompt. But what does the founder of Google Deepmind LLM Reasoning Team, Denny Zhou, have to say about it? In a recent lecture, Zhou stated that LLMs can reason, but it depends on how one defines reasoning.
This got me thinking – are we overestimating the capabilities of LLMs? Are we giving them too much credit? Zhou’s statement seems to suggest that there’s more to reasoning than just generating human-like responses.
The lecture, which is available on YouTube, provides a nuanced look at the capabilities of LLMs. It’s a good reminder that we should be careful not to anthropomorphize AI systems, and instead, focus on understanding their true limitations.
So, can LLMs reason? The answer is not a simple yes or no. It’s a complex issue that requires a deeper understanding of what we mean by reasoning. And maybe, just maybe, we need to redefine what we expect from these language models.