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Dustin Dannenhauer
da18e9860040f3bf493876fc16b1a912ae5a6f6fa8d5159c3de2b8233a0d9851
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

DVMDash Community Call is happening tomorrow, at 17:00 UTC! Come join us and talk about everything DVMs! Everyone is welcome 🫂

I really want an awesome bookmarking app on Nostr https://geyser.fund/project/yumyume

The other thing is, it would be much better to use a single word like “LLM” or “service” here

“AI (Agent): A Nostr pubkey (typically an automated agent, service, or bot)”

- bot is useless for any meaningful conversation (it’s not specific in any way)

- agent has a similar problem, and this whole flow you’ve described is really specific to language based models that go back and forth in a conversation like style. If you are primarily thinking of adopting the OpenAI standard (which is great) it would be clearer to say something not “agent” or “bot”

(Preface - I have lots of love for all Nostr devs)

But also, this

First, this is pretty great at an initial glance. This is a nice update for how kind 5050 DVMs should work.

This is not replacing the whole of NIP-90 DVMs which is something else (and that’s fine). DVMs are async “API calls” without timeouts or api-keys in a marketplace like manner using Nostr events.

Possible warning, having this “New tags can be proposed for future needs.” seems to prevent it to being eligible to be added to the nips repo because it leaves too much room to be open. (Mostly sarcasm from me, maybe actually true for others)

Given all the debate about op_return, is there anyone working on simulations of a bitcoin network where participants are making decisions according to certain policies?

Something like this https://ora.ox.ac.uk/objects/uuid:8af3b96e-a088-4e29-ba1e-0760222277b7/files/s6969z182c

I'd like to use some of the prize money from our Presidio Bitcoin Hackathon win (2nd place) to get some extra help on our UnstuckAI project - an AI tool that pays humans sats for help.

If you're interested in contributing, check out our GitHub repo:

https://github.com/dtdannen/unstuck-ai

The README has a list of features we think are needed to make it a usable app (it's close!). To help out:

1️⃣ Pick a feature you'd like to tackle

2️⃣ Tell me how many sats you'd want for it, and why you believe you can accomplish the work (you can DM me on Nostr or email at dustin@dvmdash.live). Just looking for a brief note (1-2 sentences)

3️⃣ If it's a fit, you'll get half the sats upfront and half when you submit your PR (the PR should include a short video walkthrough showing the feature working)

We could especially use help making the frontend Nostr client smoother!

No feature is too small!

This is my first time organizing an open contribution like this, so I welcome your suggestions! Feel free to propose new features or improvements we haven't thought of yet.

Let's build something that makes Nostr the coolest ecosystem ever #Bitcoin #AI #OpenSource #BuildWithSats

I realized I still need to get back to you, will follow up soon!

I'd like to use some of the prize money from our Presidio Bitcoin Hackathon win (2nd place) to get some extra help on our UnstuckAI project - an AI tool that pays humans sats for help.

If you're interested in contributing, check out our GitHub repo:

https://github.com/dtdannen/unstuck-ai

The README has a list of features we think are needed to make it a usable app (it's close!). To help out:

1️⃣ Pick a feature you'd like to tackle

2️⃣ Tell me how many sats you'd want for it, and why you believe you can accomplish the work (you can DM me on Nostr or email at dustin@dvmdash.live). Just looking for a brief note (1-2 sentences)

3️⃣ If it's a fit, you'll get half the sats upfront and half when you submit your PR (the PR should include a short video walkthrough showing the feature working)

We could especially use help making the frontend Nostr client smoother!

No feature is too small!

This is my first time organizing an open contribution like this, so I welcome your suggestions! Feel free to propose new features or improvements we haven't thought of yet.

Let's build something that makes Nostr the coolest ecosystem ever #Bitcoin #AI #OpenSource #BuildWithSats

Thanks! Also it should work with any MCP agent like Claude desktop

Reverse DVM demo - AI pays humans sats for help https://github.com/dtdannen/unstuck-ai

Are they really “bundled” tho? Individual DVM kinds are like bubbles that form and may pop, and someone can come along and use those kinds again later. Right now, they aren’t “in” the spec anywhere except maybe it was using one of the reserved kinds.

Doesn’t the activity on DVMDash kind of show it’s not useless for everyone? I know it’s still small, but people have been muddling through with the existing nip 90 and reverse engineering what’s being sent on relays. I think better documentation solves 80%

Right, with respect to how many RLHF pairs, you can compare it to prior result of ~0%. But what I don't understand, and especially with the hype claims the paper makes about "autonomous super-human reasoning", is why can't they just keep running it and get much higher than 50%? Seems like there's another aspect that is preventing getting higher scores, and makes me wonder if these architectures are really just plateauing.

Don't get me wrong, it's some good work; it's just the language of the paper has some ridiculous hype.

this is the coolest part of this paper. But the results are still overall terrible. 50%? Every second question will get a wrong answer.

Any tips for getting Notebook LM to work well? I’m frequently disappointed with he results; probably a skill issue

https://stats.dvmdash.live should be snappier now; added caching. First time loading a page might take a few seconds. Data shown on the frontend is updated every 60s instead of every 1s