Outbox model should be strongly pushed or strongly outdated.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.

how do you "inject intuition" in reasoning process of an AI? - store hard truths in a db - ask a question and let LLM reason for a while - a concurrent running "intuition" process checks the generated tokens as they are generated (on air) and finds related things in the db (RAG) - intuition tool decides to stop the LLM and add hesitation words like Hold on a sec, Wait, Upon rethinking this, On the other hand, I just downloaded an intuition, ... - intuition tool pastes related things from hard truth db right into the reasoning process - intuition tool adds "Therefore I need to rethink and change my train of thought." - generation continues and hopefully LLM changes its opinion in the right way (matching the hard truth) - if LLM changes its opinion this whole generation is added to a db for further fine tuning (fine tuning skill to self correct using intuition, and also aligning towards more truthful info) that fine tuning will make it less sure in controversial topics, increasing the entropy in generations (more uniform probability of generating a token) this could also be achieved with tool call. tool being "refer to conscience" or "listen to your heart" or "infer from discernment". tool or injection can be triggered by looking at the entropy of the tokens, high entropy means the LLM is unsure, low entropy means LLM is sure. but i am not yet sure about when to do the injection. when LLM is sure and wrong it could be dangerous. but there may be situations where it is sure and correct.

Imagine if there was an event full of signal, pretty avenue and pretty people. Imagine no more! Met some amazing friends at #imagineIF #Nashville

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

being mindful of what you are watching > being mindful of who watches you

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