Doom Debates Can GPT o1 Reason? | Liron Reacts to Tim Scarfe & Keith Duggar
Sep 18, 2024
In this engaging discussion, Tim Scarfe and Keith Duggar, hosts of Machine Learning Street Talk, dive into the capabilities of OpenAI's new model, o1. They explore the true meaning of "reasoning," contrasting it with human thought processes. The duo analyses computability and complexity theories, revealing significant limitations in AI reasoning. They also tackle the philosophical implications of AI's optimization abilities versus genuine reasoning. With witty banter, they raise intriguing questions about the future of AI and its potential pitfalls.
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LLM Reasoning vs. True Reasoning
- LLMs memorize reasoning trajectories from humans, applying logic like lookup tables.
- This differs from true reasoning, applying first principles to derive answers.
Shallow Reasoning in Neural Networks
- Tim Scarfe argues that neural networks, even simple ones like vending machines, perform a shallow form of reasoning.
- He emphasizes the difference between a lookup table and actual computation.
Finding Gold in the Sahara
- Liron Shapira uses the analogy of finding gold in the Sahara to illustrate LLMs' ability to narrow down vast search spaces.
- Finding even one correct solution among many incorrect ones is a significant achievement.