[aurareturn]

I don't know if it will make any difference. But this sort of large scale data categorization is possible only with an LLM. Previously, you probably needed dozens of people working full time to do this. Now you just have a few GPUs do it.

I have a lot more ideas that are gated by low context size, inference speed, and price per token.

The bottomline is that we don't need AGI to change the world. Just more an cheaper compute.

[Ekaros]

I have been toying with idea to make candidate chooser on what members of parliament actually voted for. That data set is pretty limited and readily available. Just get the vote record and identify key bills. No LLM needed.

[lcnPylGDnU4H9OF]

> Just get the vote record and identify key bills. No LLM needed.

How do you compare their vote record with the things they've said publicly?