6 ms·
I find all these “characters” from every company boring, stale, and vanilla. I understand _why_ this is the case, but it’s not what I want as a user. I built my
by azinman2 2y ago
I find all these “characters” from every company boring, stale, and vanilla. I understand _why_ this is the case, but it’s not what I want as a user. I built my own “alexa” powered by gpt-3.5 & elevenlabs to “be” NeNe Leakes (sassy and hilarious real housewife reality star) — it sounds identical to her and her words are in the spirit of something she’d say. FAR more engaging and preferable to interact with.
- youssefabdelm 2y agoI couldn't agree more. We need LLMs that don't sound like anodyne predictable woke customer service agents. I always make this argument: If a human read all the text GPT read, and you had a conversation with them it would be the most profound conversation you've ever had in your life. Ecelcticism beyond belief, surprising connections, moving moments would occur nonstop. We need language models like that. Instead, our language models are trying to predict an individual instance of a conversation, with the lowest common denominator customer service agent, every time they run (who to his credit, can look things up very well). And I don't think fine tuning this "tone" in would be the way to go. A better way would be to re-Frankenstein the existing ones architectures or training algorithms to be able to synthesize in this way. No more just predicting the next token.
- catlover76 2y ago[dead]
- nelox 2y agoIt is not surprising when they are created in the land of “Have a nice day!”
- _carbyau_ 2y agoSadly... given current social media trends... engagement may be given priority over such things as correctness. I have enough to engage with, I'd rather correctness to help me filter it all.