> everyone in the LLM space
The problem is that the language spills outside of the LLM space, so we should use terminology which is more generally understood in a way which reflects reality.
The problem is that the language spills outside of the LLM space, so we should use terminology which is more generally understood in a way which reflects reality.
- It conveys the idea that they aren't tokens normally visible or part of the final answer.
- It conveys the idea that the longer the models "reasons", the better the output.
What other term best describes both of these ideas? Why should we use a less useful terms just because it can confuse some people? I mean, some in 1952 feared that calling computer memory "memory" was already too much anthropomorphization[1]!