|
|
|
|
|
by thorum
594 days ago
|
|
> We don't have a clue how to make a computer capable of System 1 thinking. I think you’re overthinking this. System 1 thinking as the term is being used by AI researchers means making a fast decision based on reasoning processes that are wired into your brain by evolution. For any task that humans have faced for millions of years this works well. It can also work well for experts in a domain who have practiced a task so many times that their brains have adapted to perform it unconsciously. System 2 thinking is consciously using explicit reasoning techniques to think through a problem, slowly and rigorously, often in ways that feel unnatural due to our cognitive biases but can solve problems that System 1 is unable to. The analogy to LLMs is straightforward: LLMs learn to solve many kinds of complex problems during training and encode processes for those specific problems. They can then perform these tasks in a single forward pass through their weights. This is System 1 for LLMs and again, works well for any task that they were exposed to repeatedly during training. However they don’t generalize to tasks that were not well represented in the training data. Training them to use explicit reasoning strategies instead (System 2) is shown to improve performance and let them solve a broader range of problems. |
|