The article also discusses the concept of "chain-of-thought" reasoning, a technique that allows large language models (LLMs) to break down complex problems into smaller, manageable steps. This method, which was highlighted in a paper by Google researchers, enables LLMs to use their own output as a "scratch space" for storing intermediate results, thereby improving their problem-solving capabilities.
Key takeaways:
- OpenAI's project Q* is a new model that is reportedly able to solve math problems it hasn't seen before, which is linked to the firing and rehiring of CEO Sam Altman.
- Despite rumors, there is no concrete evidence linking Altman's firing to concerns over Q* and its potential threat to humanity.
- OpenAI has published two papers about its efforts to solve grade-school math problems, and other researchers, including those at Google's DeepMind, have been working in this area as well.
- Large language models can produce better results if they are prompted to reason one step at a time, a technique called chain-of-thought prompting, which allows the model to use its own output as a 'scratch space' for intermediate results.