Managing Information Overload, AI Summarization, ai16z DAO v2

Опубликовано: 03 Март 2026
на канале: m3org
3,216
95

Jin presented a new initiative called "DAO V2" aimed at addressing the challenges of rapid growth in their project, where Discord messages have increased from 10k to 90k per day. The core solution involves using AI/LLMs to automatically process and summarize Discord conversations across different channels.

The ultimate goal is to progressively automate DAO operations while maintaining transparency and organization. This infrastructure will allow both humans and AI agents to stay synchronized on DAO activities, eventually leading to a more decentralized and autonomous organization. The project currently runs locally using open source models, with plans to open source the summarization tools for other projects to use. Recorded 12-1-24

0:00 - Introduction
Growth in project over last month
Working on preparing for next phase of growth
Focus on managing work distribution and communication

1:27 - Context: Hypergrowth Challenge
Messages increased from ~10k to 90k per day
Led to more Discord channels and information overload
Current tools like Rick bot require manual invocation

2:26 - Discord Limitations
Discord acts as "dark pool" unlike public forums
Information gets lost easily
Chat rooms move too fast for people to keep up

2:52 - Proposed Solution: LLM-Based Automation
Using LLMs to summarize daily chat logs per channel
Extracting insights about FAQs, helpers, action items
Goal: Remove human bias and add transparency

4:22 - Technical Implementation
Private GitHub repo storing implementation
Taking Discord chat from public/working group channels
Creating compact version of daily engagement and roles
Using Ollama with Langchain and PHI-3 (14B model)

6:20 - Key Features Being Extracted
Decisions and discussions
Major topics and themes
Milestones and achievements
Frequently asked questions (for docs updates)
Who helped who (with sentiment analysis)
Action items and tasks

9:02 - Airdrop Planning
Created spreadsheet tracking contributions
Point system for measuring engagement
Combines GitHub and Discord contributor data
Using tip bot for distribution

10:59 - Contributor Profile Page
Located in docs fork
Shows GitHub contribution data
Plans to combine with Discord activity
Aims to make open source feel like a video game

13:30 - Future Integration Ideas
Virtual show format with seasoned game devs
Dashboard showing AI agents, GitHub activity, Discord news
Museum-style expo view
Weekly summarization capabilities

15:06 - HATS Protocol Integration
Codifying roles and work groups
Training AI agents within work groups
Creating human-readable updates
Infrastructure for AI and human collaboration

15:54 - Technical Details
Running locally without cloud APIs
Private repo with plans to open source summarization tools
Potential integration with existing AI agents

17:27 - Questions & Answers
Discussion of consistency checking
Multiple agents for different summary types
Integration with notebookLM
Command line customization options
Work group specific filtering

24:28 - Future Vision
TLDraw implementation with HATS protocol
AI agents as "interns" following same agreements as humans
Goal of progressive automation while maintaining organization
Eventually leading to AI-assisted DAO management