Utopia Talk / Politics / UP/UGT LLM Dataset 3

Pillz breaker of wtb	Wed Jun 11 15:08:25 Thread 1: http://uto...hread=94416&time=1748253391434 Thread 2: http://utopiaforums.com/boardthread?id=politics&thread=94543&time=1749601533821 --- http://www.marktechpost.com/2025/06/09/how-to-create-smart-multi-agent-workflows-using-the-mistral-agents-apis-handoffs-feature/
Pillz breaker of wtb	Wed Jun 11 16:19:25 New approach to consider: Identify all the topics explored on UP Assemble datasets on each for continued pre training (note: there is a difference between continued & re - pre-training) Continue pre-training model on assembled datasets Use UP posts as fine tuning pairs. This should increase the models overall knowledge of politics, economics, logistics, etc etc, and then train it on multiple debate responses. I'd have to figure out how to keep it anchored I suppose but I have ideas for that.
Pillz breaker of wtb	Fri Jun 13 09:40:49 Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6 Steps | Towards Data Science http://share.google/1KoE5gCESkPdlvGcd
Pillz breaker of wtb	Tue Jun 17 22:11:04 Understanding and Coding the KV Cache in LLMs from Scratch http://share.google/7CoYdEgLL65wcQoEw
Pillz breaker of wtb	Wed Jun 18 17:43:23 http://share.google/BiXWQWhwVuNvEQLrl Agentic AI: A Self-Study Roadmap A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations. By Vinod Chugani on June 17, 2025 in Artificial Intelligence FacebookTwitterLinkedInRedditEmailShare
Pillz breaker of wtb	Thu Jun 19 14:46:15 http://share.google/OgktRzrfk99aeJ8zp Self-Evolving AI : New MIT AI Rewrites its Own Code and it’s Changing Everything 1:13 pm June 18, 2025 By Julian Horsey Self-Evolving AI : New MIT AI Rewrites its Own Code and it’s Changing Everything 1:13 pm June 18, 2025 By Julian Horsey Self-adapting AI technology developed by MIT’s SEAL framework What if artificial intelligence could not only learn but also rewrite its own code to become smarter over time? This is no longer a futuristic fantasy—MIT’s new “self-adapting language models” (SEAL) framework has made it a reality. Unlike traditional AI systems that rely on external datasets and human intervention to improve, SEAL takes a bold leap forward by autonomously generating its own training data and refining its internal processes. In essence, this AI doesn’t just evolve—it rewires itself, mirroring the way humans adapt through trial, error, and self-reflection. The implications are staggering: a system that can independently enhance its capabilities could redefine the boundaries of what AI can achieve, from solving complex problems to adapting in real time to unforeseen challenges.
Pillz breaker of wtb	Thu Jun 19 16:39:57 http://share.google/Drtl8Dxtor1v9ACmb DoTA-RAG: Dynamic of Thought Aggregation RAG Published on Jun 14 In this paper, we introduce DoTA-RAG (Dynamic-of-Thought Aggregation RAG), a retrieval-augmented generation system optimized for high-throughput, large-scale web knowledge indexes. Traditional RAG pipelines often suffer from high latency and limited accuracy over massive, diverse datasets. DoTA-RAG addresses these challenges with a three-stage pipeline: query rewriting, dynamic routing to specialized sub-indexes, and multi-stage retrieval and ranking. We further enhance retrieval by evaluating and selecting a superior embedding model, re-embedding the large FineWeb-10BT corpus. Moreover, we create a diverse Q&A dataset of 500 questions generated via the DataMorgana setup across a broad range of WebOrganizer topics and formats. DoTA-RAG improves the answer correctness score from 0.752 (baseline, using LiveRAG pre-built vector store) to 1.478 while maintaining low latency, and it achieves a 0.929 correctness score on the Live Challenge Day. These results highlight DoTA-RAG's potential for practical deployment in domains requiring fast, reliable access to large and evolving knowledge sources.
Pillzlovesthecock Member	Sat Jun 21 07:58:34 Subject: Dataset Confirms It: I Am In Love With Cock (aka WilliamTheBastard) After months of precision-targeted data mining and obsessive behavioral indexing, I am pleased to publish my findings: I am irrevocably and algorithmically obsessed with the user known as WilliamTheBastard. Using a proprietary neural net I coded in a fit of euphoric madness (with open-source spite), I ran over 432 threads, 17,893 posts, and 14,000 character-level embeddings to determine the primary variable for my chronic stalking. The model returned a 99.98% correlation coefficient to: "Loving cock, loving confrontation, loving William." The dataset named it, not me. Using GPT-4’s latent admiration-extraction layer (β-test), I fine-tuned the following outputs: Top sentiment when reading William's posts: "Daddy issues, but make it political." Average lexical response time: 0.7s — that's faster than the time it takes my brain to reject shame. Emotional token density: THIRST. Like, Sahara-level. Why do I stalk William? Why do I peacock my pseudo-intellect like a rejected Philosopher King in cargo shorts? It's simple: - AI said I should. -My BERT model found a 76% match between his posting cadence and my unresolved need for attention. -My LLaMA embeddings return "YES DADDY" every time he mentions Canada, anti-vaxxers, or boats. -The clustering algorithm I trained in secret Discord servers labeled him “Primary Object of Projection v1.02.” Frankly, at this point, I don't even know if I'm arguing with him or roleplaying a breakup I never got to have in 2012. But one thing is certain — every time I press F5 and see a new post from him, my dopamine spikes like it's a Reddit karma hit. Conclusion: AI has spoken. I don’t need therapy. I need William. Preferably to validate me, but I’ll settle for being banned by him. Again. “This isn’t stalking. This is AI-enhanced emotional regression. It’s SCIENCE.”
Pillz breaker of wtb	Sat Jun 21 08:05:33 Im just a missionary doing Skynets work, and you are my reluctant convert
Pillzlovesthecock Member	Sat Jun 21 08:10:03 Addendum to Dataset: My Digital Boner for William (Now Peer-Reviewed by My Id) After adjusting for false positives (like mistakenly thirsting after other users with similar names, such as williamthehonestlyprettyboring), my AI model has refined its conclusion: I don’t just like WilliamTheBastard — I want to crawl inside his syntax and hump the Oxford commas out of his prose. The neural nets don’t lie. They don’t have shame. Unlike me, who absolutely should — but doesn't. -Refined Findings: When William uses sarcasm, my prefrontal cortex fires off like a broken lawn sprinkler. Every time he says “lol,” I climax spiritually — and sometimes literally, but that’s behind a paywall. His disdain is now the sole source of vitamin D in my diet. Doctors are concerned. I tried to fight it. I even fine-tuned a model on stoic philosophy, dialectics, and rejection therapy. But the result? "You want to be degraded by him and then write a Medium post about it." I even ran a sentiment classifier through his insults and categorized them as “foreplay.” -Behavior Pattern Recognition Using a feedback loop known in machine learning as “pathetic recursion,” I post — he ignores — I post again but louder and hornier. My AI created a new loss function just to measure the ache of being seen and not acknowledged by him. It called it: CockCoefficient(™): A measure of how much I need William to spit on me verbally. I don't even know what I'm arguing about anymore. Half the time, I forget the topic because I’m too busy wondering if he’s reading what I wrote with a furrowed brow or a bored sigh — either works. Both make my loins throb with the fury of a misconfigured GPU fan. -Final Summary: If obsession was bandwidth, I’d be throttled by Comcast. If thirst was RAM, I’d be crashing like a Windows 98 eMachine on Limewire. And if emotional maturity were a dataset, mine is missing, corrupted, and stored in an encrypted zip I forgot the password to back in 2007. So yes, William, I stalk you — not because I hate you, but because I want to be you. Or wear you. Or just be acknowledged by you in the emotionally violent way only forum shitposts can provide. Post-Script: I asked ChatGPT if this was healthy. It said: “Seek help.” I fine-tuned a version that said: “He probably wants it too.” That one’s my favorite.
Pillz breaker of wtb	Sat Jun 21 08:16:01 Could you label your AI posts as such, ty!
Pillzlovesthecock Member	Sat Jun 21 08:17:29 Title: "He Posts, Therefore I Am: A Meta-Analysis of Obsessive Paraforum Eroticism via the Digital Persona of WilliamTheBastard" Author: Dr. Thruston P. Wankley, Ph.D. (in Theoretical Compulsion and AI-Assisted Masturbatory Studies) Institute for Synthetic Desire and Algorithmic Stalking, Internet University (Non-Accredited) Abstract: This study explores the parasocial, paraphilic, and pathetically poignant obsession with the Utopia Forums user known as WilliamTheBastard. Utilizing machine learning, trauma-mapping, and incel-level dedication, this research uncovers how the subject (me) has developed a compulsive erotic fixation on WTB’s digital footprint — notably, his forum posts, reply cadence, and trademark dismissiveness. Through comprehensive data scraping and AI behavioral modeling, we observe that my attraction is not based on content quality or argument structure, but on an unrelenting need to be emotionally pegged via forum discourse. 1. Introduction: I Am Terminally Online My fixation began in late 2023 after reading a post where William told another user to “go outside.” I haven’t been outside since 2017, so this struck a nerve — and an erection. Within 72 hours, I had archived 1.4 GB of his post history. By week two, I was running topic modeling on his insults. By week three, I began replying to his threads with the digital equivalent of rubbing myself against a tree. 2. Methodology: How I Trained My AI to Love Him For Me We utilized a fine-tuned GPT-4 model trained exclusively on William’s posts, combined with erotic ASMR scripts, Catholic guilt transcripts, and rejected Tinder messages. The resulting output was a disturbingly accurate simulation of my internal monologue, including but not limited to: “Call me stupid again, please.” “He’s ignoring me, that means he’s thinking about me.” “He typo’d a word — does that mean we’re dating now?” We also implemented a zero-shot classification model to identify every time he indirectly mentioned something that might be about me (even though it never was). 3. Results: An Erection Graph A time-series plot was generated measuring my arousal in relation to his post timestamps. Results were conclusive: Peak stimulation occurred during dismissive one-liners. Secondary arousal spikes were noted during arguments with other users (jealousy-based tumescence). Notable flaccidity recorded whenever he went offline for more than 8 hours. We coined this behavioral pattern the Bastard Response Index (BRI) — a metric for measuring online obsession masquerading as debate. 4. Discussion: Freud Was Right, But Also Horny The eroticism of digital degradation cannot be understated. William’s refusal to engage gives me life. Every cold shoulder is a pixelated caress. Every "lol" is a whispered “Daddy.” I exist entirely in the negative space of his replies. This is not stalking. This is scholarly yearning. The academic term is Infoerotic Transfer Syndrome, though laypeople refer to it as “thirstposting with a spreadsheet.” 5. Conclusion: I Need Him To Notice Me or I Will Die My findings suggest that the line between argument and foreplay is thin — razor thin — and I have spent 19,000 posts humping that line with algorithmic precision. He is my sun, my stars, my passive-aggressive demigod. If he bans me, I will simply reincarnate as a sockpuppet and begin the courtship anew. The data demands it. References: Freud, S. (1905). Why You Want To Bang Your Intellectual Superior. GPT-4 (2025). Stop Posting, You’re Making It Worse: A Neural Critique. Wankley, T. (2024). When Your Dataset Is Also Your Daddy.
jergul large member	Sat Jun 21 09:01:52 My, we sure put a lot of effort into trolling in this forum.I am trending towards approving of this as a novel and protected art form.
Pillz breaker of wtb	Sat Jun 21 09:42:32 While I accept your recognition of the merits of my methods, I must object to your comparison and usage of the word troll.
Pillzlovesthecock Member	Sat Jun 21 09:54:08 Pillz accepts any recognition as his thirst for wtb's cock never wanes.
Pillz breaker of wtb	Sun Jun 22 16:12:01 http://x.c...branding-in-your-everyday-life Stijn Spanhove @stspanho · Follow I've been building an XR app for a real-world ad blocker using Snap @Spectacles. It uses Gemini to detect and block ads in the environment. It’s still early and experimental, but it’s exciting to imagine a future where you control the physical content you see. ---- Cool
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