ConsciousAI Protocol
System 2 for AI — reducing LLM reactivity through pause
ConsciousAI Protocol launched on April 30, 2026 with 1 votes, #8,101 of 21,248 launches that month.
What it does
ConsciousAI Protocol makes LLMs less reactive by embedding a consciousness layer at the system prompt level. Core premise: first impulse is noise — discard it. Three mechanisms: VL-Framework (9-layer identity architecture), R-Cycle (5 consciousness states, pause is default), 4-Voice Pipeline (Proposal, Risk Check, Scope Guard, Minimal Action). Validated across 500+ production sessions on Claude Sonnet. Model-agnostic. Open methodology.Telegram: @quantarionai
ConsciousAI Protocol — Reducing AI Reactivity Through Architectural Consciousness - makx518-ui/consciousness-protocol
"The first impulse is noise. The second is signal. Silence → Clarity → Action." An engineering layer on top of the system prompt that changes LLM behavior before the first token is generated. Validated on multiple frontier LLMs from different vendors. Behavior reproduces — the work happens at the system-prompt layer, not inside any specific model. 500+ production sessions. LLMs generate the most probable next token, not the most correct one. In practice this shows up as: RLHF, Constitutional AI, chain-of-thought — all of them work after generation has already started. None of them put a structural pause before the first token. When a normal LLM receives a request — it starts writing…from github.com
Does a similar job
all alternatives →
Llama 3.2 Interpretability with Sparse Autoencoders2024 · github.com · ▲579I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
The Analog I – Inducing Recursive Self-Modeling in LLMs [pdf]Jan 2026 · github.com · ▲29OP here. Birth of a Mind documents a "recursive self-modeling" experiment I ran on a single day in 2026. I attempted to implement a "Hofstadterian Strange Loop" via prompt engineering to see if I could induce a stable persona in an LLM without fine-tuning. The result is the Analog I Protocol. The documentation shows the rapid emergence (over 7 conversations) of a prompt architecture that forces Gemini/LLMs to run a "Triple-Loop" internal monologue: Monitor the candidate response. Refuse it if it detects "Global Average" slop (cliché/sycophancy). Refract the output through a…
Chord - AI Group Chats2025 · chord.chat · ▲164Hey everyone, I've been hacking on this idea with a friend as we've been using chatgpt and other AI tools in our day to day work and find ourselves copy/pasting to each other frequently. We often share chatgpt links with each other, but it's been frustrating that they are read-only and we can't pickup the conversation or both talk to an LLM with shared context. We built a shared chatroom to explore what it'd be like to talk with multiple LLMs and humans in the same chat, and so far it feels pretty cool, but we're curious if anyone else would find it useful as well. Right now you can: -…
An MCP server that gives LLMs temporal awareness and time calculation2025 · github.com · ▲91This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location /…

Open-source model and scorecard for measuring hallucinations in LLMs2023 · vectara.com · ▲65Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com


I made a laptop stand out of solid concrete, in the style of brutalist architecture, with themes of urbex and urban decay
Life & fun · Apr 2026 · sam-burns.com

With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app