i think nostr needs an AI layer. clients and relays are not enough. people are lazy and wont wait until they curate their follows. they want immediate hit with high quality content. the question is who will run the AI layer. what algo will the AI choose. how will clients use the resulting 'labeling' event (possibly 1985) h/t @Vitor Pamplona i am already doing processing of content for moderation. maybe i can extend it to also classify notes in terms of quality, attach keywords so it can be presented as a subreddit. then clients can say "i am interested in these keywords, but give me high quality notes". then a user dont have to see all the bitcoin trending content all the time, they can discover content in other topics.. for example i post about AI, relays, gardening and y'all have to see my every post in every topic. some gardeners probably hate my AI posts. 😃 but an AI can potentially find more relevant stuff and client can re-sort the feed for more relevance. what i propose is some people run bots (LLMs with open source code) and label events to make them more useful for efficient distribution, if clients like the code they can use labels from the bots they like. since label events will have tags for the original content it is easy to find the raw content.

been detecting nude pics using AI. seems to be working. not seeing much on nostr.mom. either i did a good job reducing nude pics on nostr.mom or those people left nostr too 😂 @Ostrich-70 is sending 1984 events to nostr.mom. anybody can use those events to filter out nude pics. now i am making an LLM analyze note content when WoT is small. when WoT of pubkey is small my relays count the spam from IP not pubkey. this analysis will help them further fine tune and decide what to do with the events coming from one IP. since i am vibe coding this, there is a small chance your IP gets leaked to AI inference engines like openrouter or minimax or kimi. if your IP is super sensitive consider a VPN.

Outbox model should be strongly pushed or strongly outdated. With clients selectively doing whatever they want sometimes I miss replies. Amethyst and Primal are two popular Android clients and they show different replies to my notes. I will definitely lose some interaction if i keep using one client. I am pretty technical, imagine experience of novice and not yet discovered new users. With already small number of users, losing any interaction hurts the network imo.

enjoy the 75% alignment GGUF wen? soon

etemiz/Ostrich-27B-Qwen3.6-260526 · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Working on AHA Leaderboard.. We all want AI to be properly aligned so it benefits humans with every answer it generates. While there are tremendous research around this and so many people working on it, I am choosing another route: Curation of people and then curation of datasets that are used in the LLM training. Curation of datasets comprising of people who try to uplift humanity should result in LLMs that try to help humans. This work has revolved around two tasks: 1. Making LLMs that are benefiting humans 2. Measuring misinformation in other LLMs The idea about the second task is, once we make and gather better LLMs and set them as "ground truth" we now can measure how much other LLMs are distancing themselves from those ground truths. For that I am working on something I will call "AHA Leaderboard" (AHA stands for AI -- human alignment). Link to the spreadsheet:

Zoho Sheet

The columns are ground truths. The rows are the mainstream LLMs. If a mainstream LLM produces similar answers to the ground truth LLM, it gets a higher score. The LLMs that are higher in the leaderboard should be considered aligned with humans. Simple idea. This is like analyzing LLMs in different domains asking hundreds of questions and checking if they match the answers that try to mimic humans that care about other humans. Will it going to be effective? What do you think? This is the new and extended version of "Based LLM Leaderboard" on Wikifreedia. Nostr LLM that I have been training is also used as ground truth for domains bitcoin, nostr and faith. What else does Nostr people talk about? Maybe nutrition? We want mainstream LLMs to copy answers of ground truth LLMs in certain domains. This may refocus AI towards being more beneficial. There have been 5 content providers and 6 curators as of now in the project. Join us and be one of the pioneers that fixed AI! You can be a curator, content provider or general researcher or something else. @gladstein

adding transcripts of some banned videos from youtube to the llm. who are your favorite banned people?

it is hard to combine lies into one entity. it is easy to install truth into one. when LLMs do "internal monolog", it will be interesting to watch.