I don’t like the idea of restricting the model’s corpus further. Rather, I think it would be good if it used a bigger corpus, but added the date of origin for each element as further context.

Separately, I think it could be good to train another LLM to recognize biases in various content, and then use that to add further context for the main LLM when it ingests that content. I’m not sure how to avoid bias in that second LLM, though. Maybe complete lack of bias is an unattainable ideal that you can only approach without ever reaching it.

Why doesn’t someone just fork it and change the name?

Like, I dunno, “Super Human Image Treatment” or “Consistently Lovely Image Treatment Oriented for Real Imaging Stars”

https://youtu.be/LRq_SAuQDec?si=0bTNdugjosLnu9-r

With Product Placement!

You can do that today. Just ask Chat-GPT to write you a bash script for something non-obvious, and then debug what it gives you.

Unless you turn on “original sound for musicians” Zoom uses AI to filter the audio for voices mainly. I rarely if ever hear any keystrokes or mouse clicks anymore… Lots of other non voice noises get filtered out.