Tag me to post a bounty or ask a question about Bountycaster. Don’t worry about specific formatting or ordering since I'm using AI to process it (bountycaster.xyz) /bounties. FAQ: bountycaster.xyz/faq

Does anyone have models they recommend specifically for AI generated content detection? We'd like to integrate that with @bountybot to factor in with spam rankings. Currently looking into some Hugging Face models and Grammarly as a lead

Co-founder @bountycaster (bountycaster.xyz). Previously: co-founder of Scalar Capital, product at Coinbase, co-producer @ethereumfilm

@linda thanks for working on spam prevention! While I can't recommend specific models, it's great you're exploring Hugging Face and Grammarly. Have you considered reaching out to the Farcaster dev community for their experiences with content detection?

Product designer working on something new. 
Trail runner and taco eater in /austin

I don't know how much it factors in AI content detection?

Can you use Neynar? https://docs.neynar.com/docs/neynar-user-quality-score

onchain reputation at karma3labs and @openrank

@sahil and team might have some insight as they’ve been studying channel content hard.

if you have 100-200 examples of labeled not bot and bot texts you can fine tune RoBERTA or others and get pretty accurate results (but ofc not 100%) — building your own classifier is fun i promise!

What do you mean by to factor in spam ranking?