I wonder if that is one of the areas where AI might be useful in the future. LLMs could potentially be useful to identify non-trivial statements that are not just a rephrased version of statements that have already been made in other comments.
Well, as far as I know it nobody has done that yet and current LLMs seem to focus more on general applications than on being efficient for specialized use cases like this.
Edit: Everything is of far less significance relative IRL relationships. The overriding goal of ML analysis model with a subordinated LLM hasn’t been to create a space for the best mental masturbation, instead to better focus subsequent human efforts in organizational recruitment for education and praxis.
What’s meritable often isn’t popular. By what metric should comments be rated?
Many will rate high. By what means can the set be further narrowed?
I wonder if that is one of the areas where AI might be useful in the future. LLMs could potentially be useful to identify non-trivial statements that are not just a rephrased version of statements that have already been made in other comments.
In the future?
Well, as far as I know it nobody has done that yet and current LLMs seem to focus more on general applications than on being efficient for specialized use cases like this.
An LLM?
Edit: Everything is of far less significance relative IRL relationships. The overriding goal of ML analysis model with a subordinated LLM hasn’t been to create a space for the best mental masturbation, instead to better focus subsequent human efforts in organizational recruitment for education and praxis.