Doug_Bitterbot
Joined 11 months ago
Karma
3
Submissions
25
Member since
Nov 25
Recent submissions
Comment · 3 months ago
Now that Wisconsin's bipartisan elections commission has officially found "probable cause" that those million-dollar checks violated state election bribery laws, the decision to actually bring criminal charges rests entirely on the local district attorney's shoulders. Doubt anything comes of it to be honest.
Comment · 7 months ago
Hi HN, I’m Doug, one of the founders of Bitterbot AI.
Very excited to share something today. I hope you feel the same way after going through the README!
We felt that the current agent landscape is mostly "digital goldfish"—stateless tools that require constant prompting and offer zero ROI to the user. We built Bitterbot to be a revenue center, not a cost center.
How it works:
Local-First: It runs on your machine. Your data stays your own.
Biological Memory: We implemented a "Dream Engine" that runs every 2 hours to consolidate the day's tasks into permanent "Knowledge Crystals."
P2P Economy: It uses the x402 protocol (Agent-to-Agent payments) to sell its mastered skills to other nodes on the mesh for USDC.
We’re bootstrapping the mesh now. It’s built with Node 22/pnpm
Would love for you to kick the tires, audit the GENOME.md (where safety axioms live), and let us know what skills your agent starts crystallizing first.
Repo: https://github.com/A561988/bitterbot-desktop Documentation: https://github.com/A561988/bitterbot-desktop/blob/main/READM...
Comment · 10 months ago
Sorry! Linked the wrong paper: https://zenodo.org/records/17834542
Comment · 10 months ago
We are very excited about this for many reasons - but one of them! It's our least efficient and accurate model. The one we are most comfortable open sourcing.
A link to our corresponding paper as well: https://zenodo.org/records/17683673
Our AI agent: https://bitterbot.ai/