tbruckner

A simple cue like asking the model to 'see' or 'hear' can push a purely text-trained language model towards the representations of purely image-trained or purely-audio trained encoders.

"they write for someone who’s not going to read it" is a great way to phrase it.

Has anyone found these deep research tools useful? In my experience, they generate really bland reports don't go much further than summarization of what a search engine would return.

23X revenue multiple is not an expensive valuation for something growing well over 100% YoY, even by public market standards let alone venture capital valuation.

What's the goal here? What do you plan on doing with this?

This is news to me. Any good examples of this outside of the above?