jimbocoin on Nostr: For context, my usage was around brainstorming ideas for a sci-fi novel I intend to ...

For context, my usage was around brainstorming ideas for a sci-fi novel I intend to write. I tried llama3 briefly, then switched to dolphin-mixtral, a mixtral-based model that attempts to remove alignment and increase compliance.

I found that both had similar knowledge. For example, both were familiar with authors I wanted to reference like Robert Zubrin and Kevin Kelly.

Both seemed to think that climate change was a big issue that humanity needed to solve—even after I told them to ignore climate concerns for the purpose of the brainstorm.

Where they differed that I could tell was in bias around character design and in tone. Llama kept suggesting characters that were predominantly female doctors, mostly Indian/East Asian. Dolphin seemed more willing to suggest male characters.

Regarding tone, the prose llama3 produced tended to be chipper and light hearted, even when I prompted it to be dark and cerebral. Dolphin-mixtral was more willing to offer darker prose.

These are my general impressions so far.