LLM "reasoning" continues to be deeply flawed
3 months ago
- #Reasoning
- #AI
- #LLM
- LLMs continue to have significant reasoning flaws despite massive investments.
- Critics, including prominent academics, have long highlighted deep learning's limitations in reasoning and abstract thinking.
- A new review from Caltech and Stanford details widespread reasoning failures in current LLMs.
- Silicon Valley often dismisses such criticisms, promoting unrealistic expectations about AGI.
- The paper suggests exploring alternatives to LLMs rather than relying on scaling existing models.