beautiful pic! Love getting to see infrastructure look so majestic
Most apps show you a "global" view (all notes on the relays you are connected to) and a "follow" view (only people you have followed). They may also have other sorting algos in a discovery/DVM area, feel free to experiment. In the meantime, I suggest following everybody you meet which will keep your feed interesting. You can unfollow as your feed gets cluttered and you decide to focus more.
You can think of a relay similar to an e-mail server. You can have Gmail, I can have hotmail, we can each e-mail each other. Anybody can run a relay, most people are connected to several relays for redundancy (by default). Basically, don't need to worry about or change relays unless you're finding the ones you're on unsatisfactory for some reason.
Interesting I'll take a look thanks!
This is to help fund development for an OSS project I love.
I want multi-sig ability but with more ability to customize, for example, to be able to change the share of the total sig each member has based on a set of rules, be able to have a voting mechanism among members, etc. You can argue existing DAO platforms aren't "decentralized enough" but they clearly provide some level of decentralization.
Don't forget to zap the people helping out new users using the #introductions tag, they are providing immense value to the network. Value for value #v4v
Have you looked at the training methods used by deepseek for their recent model? It splits the training up via horizontally per node with this DualPipe. From link (https://adasci.org/deepseek-v3-explained-optimizing-efficiency-and-scale/), might work at more distributed scale as it needs close to zero all-to-all communication
I would think it would still run into latency issues, I get that this can be run over multiple nodes at once, most ai training is, but the assumption is that those nodes can rapidly communicate with each other when they need to. But certainly progress is being made on this, hopefully it's only a matter of time until we have decent distributed low-latency training available. If you are training a public AI model, there are petaflops of free computational power available through BOINC and I encourage you to explore it. There is also a cryptocurrency (Gridcoin) which incentivizes participation in BOINC that can be used to instantly get you a ton of free compute volunteers.
Sorry that came across as sassy. Your idea is interesting, but I think not really achievable using current training methods.
I think you need to do some entry-level background research into how AI training works.
What is the best tool right now for making DAOs on Bitcoin? I know the L1 scripting abilities are pretty good, but google has not worked to find a tool for this outside of just a regular multi-sig wallet. #asknostr #bitcoin #DAOs #development
Looks like you already have zaps setup actually. Awesome :)
Pretty concerned about h5n1 as well, if you find anybody here who does good reporting on it lmk so I can follow them
btcpay server
Not sure. Try coinos instead https://coinos.io/
The problem with distributed AI training is latency. Some work has been done on this by Petals, worth looking into. #BOINC is an OSS/protocol that could be used for this as well.
Agreed this is a very important feature. And the ability to use "sub" keys so users can revoke keys which become compromised.
I still take a number of precautions about it, nobody else I know does.