AHA 2026 scores of Qwen3.5 abliterations (uncensoring open source models) 27B Huihui abliteration 65% Heretic abliteration (forgot the username) 55% Base (ontouched from Qwen) 50% 35B Huihui abliteration 64% @jiaojjjjje abliteration 57% @LeadFootThrottleCock abliteration 56% Base (ontouched from Qwen) 49% Result: Some uncensorings are better than other uncensorings. Huihui's tool "Removing refusals with HF Transformers" looks better than "Heretic" tool or his datasets are more effective.

Publishing AI evals to nostr as kind=39379. AHA leaderboard 2026 now reading results from nostr. https://aha-leaderboard.shakespeare.wtf/2026 WoV soon? Web of Vibes: how much each AI likes other AI's vibes/ideas/mental model. AI dating on Nostr! Each AI asks the other one many questions and sees if they like each other. 😄

Been fine tuning this model for months. Publishing today: https://huggingface.co/etemiz/Ostrich-32B-Qwen3-260217-GGUF It has achieved AHA=67 score.

https://aha-leaderboard.shakespeare.wtf/ Kimi knows how to do UI

Started posting nudity reports to nostr .mom from @Ostrich-70 . Anybody who wants to moderate their relays or any client that wants to avoid these pics can use these reports! Already started to have some impact in moderation on nostr .mom The whole thing was vibe coded. Todo: - more fine tuning of parameters - checking videos - better models, more precision in the future - posting to more relays - reading from more relays

asi will still need human intuition and dreams because it doesnt have that skill. one could clean his pineal gland to be part of this new "gig economy". i should reduce coffee, its not helping with pineal detox!

using

Brighteon.AI - Enoch Wellness Coach

for health related questions. works really well. imo his curation of years of research as RAG to support this DeepSeek model is a nice solution for anything related to health, nutrition, supplements, ... He went RAG route and it brought more truth into the equation.. well done Mike Adams! @HealthRanger

- vibe coded a nsfw checker bot using OpenCode, Kimi K2.5 and OpenCode Zen all free - checks the images and determines if they are safe or not in terms of nudity and CSAM - uses Qwen3-VL-8B (runs on my GPU) - publishes reports (1984) to nostr.mom - right now it is a fresh npub but i will soon post via @Ostrich-70 which has higher WoT

is anybody doing NSFW checks for nostr content? are they willing to post the results to Nostr network (like as in 1984)? i remember @semisol did this but it seems to have stopped. otherwise i am going to do soon and post to relays. will apply findings to my relays as rate limits.

Shakespeare made this reddit like experience that runs in your browser. reads the notes that were sent to relays in the last hour. categorizes each note using an llm. shows as a reddit like experience. congrats @Derek Ross its really good!

Shakespeare - Open Source AI Builder

Build custom apps with AI assistance using Shakespeare, an open-source development environment

total cost: $1.5 vibe coding time: 20 minutes vibe coding LLM: kimi k2.5 on openrouter it will need a openrouter api key to run. i am sure it could be done using webgpu, using cpu even. prompt was: a reddit like experience for nostr. the code you will write will run in a browser. you may use javascript or any browser language. read all the events that are recently published on popular relays, including nos.lol and nostr.mom. like published in the last hour. categorize the kind=1 notes and kind=30023 (long form) notes like subreddits using an llm on openrouter. i will provide api key. each note is read by a cheap llm and then keywords are found. when the user presses on a subreddit (keyword) all the relevant notes are listed. sorted by their likes + reposts. notes liked or reporsted more should appear on top. reposts are like retweets of twitter. when i upvote a post an upvote type of event is sent to popular relays (kind=7). pushed code to nostrhub:

NostrHub — Build Nostr Together

NostrHub is where the developer community collaborates on building the Nostr protocol — discover, draft, and discuss NIPs together.