rjakob

It’s less about proof and more about demonstrating a new capability that TSLMs enable. To be fair, the paper did test standard LLMs, which consistently underperformed. @iLoveOncall, can you point to examples where out of the box models achieved good results on multiple time-series? Also, what kind of time-series data did you analyze with Claude 3.5? What exactly did you predict, and how did you assess reasoning capabilities?

Thanks for the note. Ironically, the post is about models built to understand time.

If you know the trick to getting reviewed in a day, do tell. Asking for an entire field.

inspired by friends at Browser-Use

whenever you would like to have comprehensive feedback on your manuscript (more likely during pre-submission or after publishing a preprint).

noted.

System prompts / review criteria cannot be "leaked" because they are open-source (full transparency). Focusing heavily on monetization at this stage seems shortsighted...this tool is a small (but longterm important) step of a larger plan.

Then let's try to be the least biased and fully transparent (which should also help with bias)