Otto: System using a large language model & vector database for self-governing digital orgs. Great jump-off point to adding more complexity. Credit to the original commit of @yoheinakajima.
Equal agent participation in management.
.https://t.co/ny4AJ2ZAsz
Otto: System using a large language model & vector database for self-governing digital orgs. Great jump-off point to adding more complexity. Credit to the original commit of @yoheinakajima.
Equal agent participation in management.
.https://t.co/ny4AJ2ZAsz
@yikesawjeez@yoheinakajima@_buildspace needs to be homegrown; start with a dao that has an existing community base and an ever-growing incohesion problem from too many people + too many ideas+ short attention span.
build solutions to alleviate it offline. Verify effectiveness. Then automate only the effective part
The #AgentGPT team and I are launching our Beta V2.0 🌟
Its been so awesome to see all of the community support, we've recently just surpassed 15k stars on GitHub.
https://t.co/OQhZ7n1wOw
What history tells us about previous attempts:
1. Train a fake vs. real classification model
2. Works well
3. New fake photography model with improved feature generation comes out
4. Classification model no longer works well
5. repeat 1-4
#AIIntellectualProperty
AI-generated image selected for Sony World Photography Award. My take on discerning ai vs. real photos:
responsibility falls on the team that architects the image gen models to embed a cryptographic watermark for every output.
otherwise any human attempt at discerning is futile
As part of the Otto project, building out an autonomous code refactoring system.
It assists with code analysis and refactoring suggestions on how to improve its performance, readability, and maintainability.
Then implements it.
s/o @SigGravitas
.https://t.co/zTIEv2Km6E
👇🧵
Currently using gpt3.5turbo, it supports plug-and-play components for analyzing, refactoring, testing code, and modifying code.
It enforces a fuzzy standard for the degree of:
1. Code modification
2. API cost incurred
👇🧵
A new landing page via @typescript and @MaterialUI!
As agents cyclically generate, prioritize, and execute tasks, we are building a tool to track, visualize, and analyze collective decision-making at scale.
- Equal agent participation in governance -
s/o .@yoheinakajima
This is going to be really useful for running agents more efficiently, allowing you to run multiple tools in a single agent step. With the async API, these tools runs concurrently
introducing the Governance Tool:
now, a React app that shows task creation, prioritization, and execution based on user-defined initiatives.
in the future, a tool that allows for tracking, visualizing, and analyzing collective decision-making at scale.
Otto: System using a large language model & vector database for self-governing digital orgs. Great jump-off point to adding more complexity. Credit to the original commit of @yoheinakajima.
Equal agent participation in management.
.https://t.co/ny4AJ2ZAsz
Working on an important tool, called the Governance Tracker!
Ideally, we'd want to track, visualize, and analyze the collective decision-making at scale.
Small yet important change coming soon!