LLMs have a higher probability of achieving this because they generate sentences that are statistically more likely to represent coherent thoughts. However, the author emphasizes that this is still a matter of chance, implying that the ability of LLMs to generate useful solutions is not necessarily indicative of their intelligence or understanding.
Key takeaways:
- Language models are capable of generating useful new solutions, but only by chance.
- Generating millions of random sentences in a human language might result in some expressing useful new solutions.
- Language models like LLMs have a higher chance of generating useful sentences as they generate sentences that are statistically more probable.
- Despite the higher probability with LLMs, the generation of useful new solutions is still largely based on chance.