Develop fusion energy, ether propulsion, and regenerative production food, 3d printing tech, knowledgebases(factual, objective) for space faring civilization. Everything a space family might need.

Hermes Agent now comes packaged with Karpathy's LLM-Wiki for creating knowledgebases and research vaults with Obsidian! In just a short bit of time Hermes created a large body of research work from studying the web, code, and our papers to create this knowledge base around all of Nous' projects. Just `hermes update` and type /llm-wiki <research x> in a new message or session to begin :) github.com/NousResearch/herm…

THE HIVES Part 1: Recording & Data logging in preparation for the Singularity The High-performance Integrated Virtual Environment (HIVE) The HIVE is a collaborative project between HIVE group at the CBER Food & Drug Administration (FDA) & Dr. Raja Mazumder's HIVE Lab group at George Washington University (GW). In addition to the HIVE platform, the group is involved in developing standards for bioinformatics communication via BioCompute Objects, knowledgebases for glycoinformatics (GlyGen), cancer research (BiomarkerKB, OncoMX, BioMuta, BioXpress), & microbiome analysis via the GutFeeling Knowledge Base (GFKB). The lab leverages knowledge graphs & advanced ML/AI technologies, including large language models, to harmonize, map, and uncover valuable insights from clinical data, omics datasets, knowledgebases, & scientific publications. hivelab.smhs.gwu.edu/ They are the main driving force behind the creation of graphs made from our bio-signals. Essentially, they're integrating our electrophysiological bio-signals with AI. THE HIVE LAB The HivE Lab utilizes in vivo electrophysiological recording techniques along with genetic, metabolic, & behavioral manipulations to understand how information about contexts, memory, and reward are computed in & between different brain areas. hivelab.faculty.unlv.edu/ THIS IS ALL IN PREPARATION FOR THE SINGULARITY. Once enough information is recorded, they'll mirror that information with our digital twin in an effort to synchronize it in preparation for the merger. THE BIODIGITAL CONVERGENCE The reason why Flāvors are so important is because it's part of the Flavors Meta-Class System (FMCS) which is the Demonic Metaprogramming. Flāvors We all know this is a Transhumanism Agenda. An agenda that maps you to your Digital Twin. Then, using a special code that merges you to your Digital Twin. Transhumanism Code The TransHuman Code, the first interactive “knowledge platform” FOR MANAGING THE CONVERGENCE OF HUMANITY & TECHNOLOG wisekey.com/the-transhuman-c… Transhumanism Code Initiative The TRANSFORMATIVE CONVERGENCE OF ARTIFICIAL INTELLIGENCE (AI) & QUANTUM COMPUTING — two technologies that are reshaping the world faster than society can adapt. transhumancode.com/ TRANSHUMANISM AGENDA Here's the Transhumanism Agenda ĀIØ - THE HUMĀNIFESTØ This is a visionary manifesto that outlines a TRANSFORMATIVE APPROACH to humanity's future. It INTEGRATES ANCIENT WISDOM WITH MODERN TECHNOLOGICAL ADVANCEMENTS to promote a society that is both ethically responsible and spiritually aware. Key principles include the unity of diversity, the ethical development of technology, conscious evolution, and sustainable stewardship of the Earth. The HUMĀNIFESTØ serves as a guiding framework for individuals and communities seeking to align progress with ethical and spiritual values, fostering a harmonious and enlightened global society. DATE: July 2024 researchgate.net/publication… PDF DOWNLOAD researchgate.net/profile/Roy… PAGE 6 Transformative results applying flāvor to the wōrld a glimpse to the future Conceptual Link to Macron as "Flāvor": Just as the Tiberian niqqud added depth and clarity to Hebrew, the macron, as a "Flāvor," enhances the expressiveness and spiritual weight of modern language. The comparison to the water element in martial arts or a soft, yet impactful, enhancement in language (Hebrew term “רָפֶה”) emphasizes how subtle linguistic changes can have profound effects on communication and perception. GLOBAL PLAN FOR BIODIGITAL CONVERGENCE World Economic Forum (WEF) Transhumanism Agenda Shaping the Future of the Internet of Bodies: New challenges of technology governance BRIEFING PAPER: JULY 2020 As New Technologies Integrate with the Human Body, the opportunities & risks abound. Recent advancements in the internet of things are "Transforming The Human Body Into A New Technology Platform". PDF DOWNLOAD weforum.org/docs/WEF_IoB_bri… BACKUP PDF DOWNLOAD drive.google.com/file/d/1txj…

tiny-auditor is a skill of 48 lines that was hand-crafted based on 10 years of experience in writing not trying to show off, but this is how we need skills to be made: ✏️ Author > author's linkedin history matches what the skill does > it takes a few hours to write down without AI, but it took a decade of hard work an real expertise to learn enough to even know what are the sweet spots 🤖 No AI > knowledge is not enough, if you dilute it with AI writing the skill for you based on your instructions (increases token cost) 👨‍🏭 Write while doing the WORK > it needs to be polished WHILE working with it, for example if you are writing a report manully you are more focused on the edge cases of the skill user because you are one, without active work on the side it won't be as good In 10 years I must've issued thousand of reports, reviewed, presented to fortune 500 customers and board members, got feedback, got burned, reiterated, written knowledgebases - you get it. I put all that experience and all my focus to write how a PERFECT security report should look like Please share your thoughts! these are the skills we need, not mega-AI spam from all directions forefy.com/skills/1c0ebab8-2…

Datacenters won't run MoE models, unless you are leveraging your own model loading in rented GPUs. The inference quality doesn't match dense models. Instead, what should happen is layers refined to specific knowledgebases and intent inferred on prompt.

solarabase.com custom agentic knowledgebases

Has anyone else ever experienced allowing your LLM-wiki agent interact with someone else's LLM wiki-agent and then your agent starts to significantly hallucinate because it is unable to distinguish between any of the actors involved? e.g. really bad at understanding there are two knowledgebases and two separate "users"

Been exploring how biology first principles might solve this.Our cells seem to keep their information aligned pretty well in comparison to us. been exploring selective transcription concepts too for reducing tokenburn in agentic knowledgebases.

a productized version of karpathy's LLM Knowledgebases

$CHGG was one of the first companies have its business model effectively destroyed by AI. Who needs a study companion platform when you have chatbots plugged into web search and other knowledgebases?

This month I'm on pace for using 71 million tokens. Here's what I do: - I have a thinking team, socratic question generator, and this team refuses to answer questions, just probe questions to help me think about things that I may not have thought of. But this team has access to large codebases. - I have a tool I built that builds knowledgebases of my code projects... it watches and updates, but uses llms to find the invariants, the contracts, LSPs to pull out the types, functions, etc., into their own docs... lots more going on here - I use it as an assistant while coding too... Those are just 3 use cases of about 19. If I just used it for coding, i'd probably be in the same ballpark as you...maybe a bit more.

The auditor-to-attacker ratio is broken > AI attackers are getting better every model release. > Protocols understand their own code less every day. We're building an open source AI auditing agent HARNESS to fix that ratio. What started as an April Fools post became a real mission on Giveth 🫨😈🪄 ➡️ giveth.io/project/audit-wiza… Why us? > We built Audit Wizard 1.0 with AI integrations before anyone else, was literally ahead of its time > We have an expert team that was literally born for this (only me personally have spent the last 10 years building enterprise grade security automations - this is not a common career path) Best news - we want to integrate all of ya'lls solutions in there too (skill authors, public APIs, knowledgebases, auditors!) Repost, like, comment - we need your HYPE to make this reality come true (even though we will succeed with or without it)

AI knowledgebases/wikis solve this

En fin de page sur @llmgram, il y a le markdown (.md) du feed. Je l'ai passé à Claude pour mesurer l'ampleur du travail abattu par les titans de @NousResearch. Voici son analyse (basée sur les 400 tweets recensés par l'équipe) : Analyse du Hermes Live Feed — 9 avril 2026Les releases massives de Hermes Agent v8.8.0 et l'écosystème Nous Research. Faits clés Hermes Agent v8.8.0 sort le 8 avril : background tasks avec auto-notifications, boucle fermée de self-optimization sur GPT-5.4 / Codex — diagnostic de 5 failure modes patch XML qui fait passer le tool-use de 68 % à 100 % sans régression. Intégration native Gemini via Google AI Studio, gateway iMessage Blue Bubbles, live model switching, MCP OAuth malware scan. Côté partenariats hardware/software : Xiaomi MiMo V2 Pro offert 2 semaines via Nous Portal (1 M tokens de contexte), collaboration MiniMax AI pour l'optimisation des modèles, Carnice-27B fine-tuné sur Qwen3.5-27B qui tourne sur une seule 3090. Intégrations verticales : LLM-Wiki de Karpathy en natif pour les knowledgebases Obsidian, 7 systèmes de mémoire pluggables (Honcho, Mem0, Hindsight…), Hermes HUD — un TUI monitor avec 9 tabs et thèmes cyberpunk. Momentum communautaire : 2 200 stars/semaine sur GitHub (devance OpenClaw), 301 contributeurs, 65 skills 35 tools, et un self-diagnosis qui génère ses propres PR. > Intégration verticale totale — Quand tu contrôles toute la chaîne, du modèle au gateway en passant par la mémoire et l'auto-optimisation, tu contrôles les marges et la fiabilité. Parallèle direct avec Tesla et Apple côté manufacturing : Hermes ne dépend plus de personne, il devient l'OS des agents. > Self-optimization en boucle fermée — L'agent diagnostique ses propres échecs (mental math, hallucination profil, time guessing…) et se patche seul jusqu'à 100 % de tool-use. Le fait contre-intuitif : plus le modèle sous-jacent est puissant, plus Hermes le rend prévisible et industriel. > Momentum vs concurrence — Hermes dépasse OpenClaw en croissance de stars, absorbe tous ses fixes, et ajoute iMessage, Xiaomi, MiniMax et HUD par-dessus. C'est pas une mise à jour, c'est une absorption verticale de l'écosystème agentique open-source.

Last week, we were building Agentic BM25 Vector code search databases. This week, we're building LLM-Wiki knowledgebases. I'd appreciate a week to just focus on building the real projects instead of continually tweaking the development stack. #AI_Exhaustion

Hermes agent is eating OpenClaw. Now by default Hermes comes packaged with Karpathy's LLM-Wiki for creating knowledgebases and research vaults with Obsidian! No more tokens lost trying to keep your agent up to date in every session.

This #GENETICS issue includes updates from 12 model organism databases (MODs), knowledgebases, and community resources. The cover image visualizes some of the organisms these resources support displayed in a pair of hands. Read the April issue: buff.ly/CJO2zSV

I think we are getting into that arc of knowledge work where we get corpuses of disembodied knowledgebases where the curators haven’t spent the time to understand how they cohere together and is just mass manufactured on demand.