64 / Community validator
Tokens for tracking participation

In this episode, we focus on the structure of community applications with event ticketing and promises. We dive into validating participation and scoring the fulfillment of these promises in a Web3 way, discussing potential issues such as griefing attacks and vote delegation. We also chat about using ChatGPT for admin work and announce the second part of our "Zero Day Live" mini-series.

Timeline

00:00 Intro

00:37 The new homepage

01:21 Perks and promises

03:35 Verified review

05:33 Who reviews the reviewers?

09:04 Can rules-based systems ever be fair?

10:48 Using ChatGPT for admin work

Badges

@fulldecent

William Entriken Stayed to end

@dtedesco1

Daniel Tedesco Stayed to end

@exstalis

??? Stayed to end

@037

AKM Stayed to end

@VjDeliria

Vj Deliria Stayed to end

@Rito_Rhymes

Ritorhymes Stayed to end

@cryptonerdylady

??? Stayed to end

Episode notes

• BioNFTs
• Zero Day Live, part 2

• BioNFTs: https://twitter.com/duribeb/status/1611398090103070720
• Magicking#6120: Hey was wondering about NFT (ERC721) on L2 chains like StarkNet, have you wander into that?
• How we used ChatGPT to generate metadata for the CSH podcast
• Zero Day Live episode 2 dropped

NOTES

• (Elif) community account, perks (free drinks, social events, airdrops), promises (commitment to the community)
• If someone violated something in the community (i.e. promised to teach something, but didn’t do it)
• Tickets (gets right to review, organizer cannot see, only ticketholders can see)
• Attack scenario: community A, community B, community B member gets ticket for community A event?
• A community includes individuals and community accounts (multi-sig), both of who can be organizer and create an event.
• The event is a meetup and is ticketed.
• A community member can make a promise (“tag”, commitment) to do something. The promise is upvoted/downvoted by other eligible community members (based on voting power from event attendance, score from earned tags).
• Question: how to validate who attended the event? give them a drip.
• Question: how to use neural programming (“AI”) to classify text as positive or negative sentiment?
  • See: https://openai.com/blog/unsupervised-sentiment-neuron/
  • https://github.com/openai/generating-reviews-discovering-sentiment
• Possible solutions for trust
  • Scaffolding – trusted validators
  • Anyone can validate – but it’s public

TWITTER THREAD

• Thank you for joining episode #64!

  First, looking at a common #community-building Web3 problem…

• @elif describes a community application focused around event ticketing and promises to participate in these events… how can validate participation and score/attest to fulfillment of these promises? Can we do it in a #Web3 way?

• Does upvoting/downvoting lead to griefing attacks? And who gets votes?

• Hands-on review using #ChatGPT to do mechanical (but also cognitive) knowledge work.

• Part 2 of the 3-part mini series “Zero Day Live” just dropped https://twitter.com/fulldecent/status/1627497192888889346 #zeroday