Dustin Dannenhauer
dustind@dtdannen.github.io
npub1mgvw...pdjc
DVM maximalist
Building DVMDash - a monitoring and debugging tool for DVMs
https://dvmdash.live
Live DVM Stats here: https://stats.dvmdash.live
Hacking on ezdvm - a python library for making DVMs https://github.com/dtdannen/ezdvm
What a time to be alive
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Are you a Nostr dev that's attending Nostriga? I'm looking for a co-host for the Tutorial on Data Vending Machines workshop I've proposed at @Nostriga #Nostriga
While fully prepared to lead this myself, it will be more fun to work with someone. What I'm looking for in a co-host:
1. provide feedback on the tutorial slides and exercises (sometime in mid-august)
2. willingness to learn about DVMs and play with them prior to the event (if you don't already have experience)
3. help answer questions about DVMs during the workshop
I've proposed a workshop and keynote at #Nostriga @Nostriga - please comment on them with a 👍 if you'd like to see them at the unconference!
Workshop: "Tutorial on Data Vending Machines" - you will build a running DVM as part of this workshop!
Keynote: "Superintelligence on Nostr" - I'll argue why Nostr has a chance at being the first widespread decentralized AI network, what the future might look like, and why it empowers the sovereign individual
GitHub
Tutorial on Data Vending Machines · Issue #29 · nostrworld/nostriga
Description What is this workshop about? Provide as many details as possible. This workshop will be a hands-on session where developers of all skil...
If you have tried using LLMs to generate and execute code, you might appreciate this workshop paper we presented at @ ICML workshop on LLMs and Cognition. The primary contributions are 1) a Case-Based Reasoning approach to reducing LLM failures via dynamic, few shot prompting and 2) seven failure types that can cause generated code to fail. These failure types are more detailed than most benchmarks that evaluate LLM code generation; and since we didn't have an automated way to check for all of them, we performed the evaluation by hand 😅
Paper: https://openreview.net/pdf/f2d10bfca1b7d9f6f0a87144fee8e775cba6701a.pdf
DVM ecosystem just got an upgrade with proofs for DVM output; also nostr_sdk rocks
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Are KINDs distinguished by their structure? If I turned an event for an arbitrary KIND into a graph where the graph structure matches the JSON structure, and the data types of nodes were colors, could I get a unique graph for each KIND?
What if there was a tool where people can see if there is already a KIND that exists for them or if they need to create a new one. The tool would just pull as many different kinds as possible from relays, and you could take an example event and compare it against all existing ones based on structure and data types of nodes. It could remove the need for any single global list of KIND events, like the Nostr NIPS repo.
I'm particularly interested as we have many more DVMs come into play and when someone wants to make a new DVM, they will need to decide whether to use an existing KIND or create a new one.
GM! Excited to see @Not Paul Graham on Nostr, welcome!
Some pretty graphs appeared while working on #nostr this morning: 
Just like bitcoin had decades of academic publications behind it, so too does decentralized AI. Check out this 1990 book on Decentralized AI! No mention of blockchain 😂
https://shop.elsevier.com/books/decentralized-ai/demazeau/978-0-444-88705-4
Unfortunately it's behind a paywall...
Nostr is hilarious today
DVMs > APIs