I'm suspicious of their results with regards to tool usage. It's unsurprising that round-tripping long content through an LLM results in corruption. Frequent LLM users already know not to do that. They claim that tool use didn't help, which surprised me... but they also said: > To test this, we implemented a basic agentic harness (Yao et al., 2022) with file reading, writing, and code execution tools (Appendix M). We…
I think this is closely related to other sources saying that even if you have huge context the attention mechanism itself is not back referencing thus any tasks related to bigger contexts are prone to errors.
because I have some preconception of this maybe I am assuming this is what they were saying. Am I missing something ?