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promptfluid
searching PlanetScale…
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6 ms
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by
promptfluid
1mo ago
Speaking of DeepSeek, I just ran a report on how my software CMPSBL may be able to benefit it as a software. What to expect: Integration Report — DeepSeek-V3 CMPSBL can turn the official inference demo into an evidence-bearing, replay-able
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promptfluid
1mo ago
function secretOfLife() { const work = doHardThings(); const crew = peopleYouLove (); const impact = buildFor (crew, { scope: 'the world', duration: 'decades', forgetEverythingElse(); return impact;
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promptfluid
2mo ago
This is so true. I also saw ice fall from what they think is a plane last week that could have taken someone’s head off in the middle of summer
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Cacheinvalidate.com Was Still Available
(cacheinvalidate.com)
2 points
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promptfluid
2mo ago
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0 comments
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Self-Discovery Through Archaeology
(kesjr.com)
3 points
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promptfluid
4mo ago
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0 comments
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I wrapped a LangChain agent without modifying its code (Ascension V2)
(github.com)
1 points
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promptfluid
5mo ago
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0 comments
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Runtime augmentation of Hugging Face without modifying source – CMPSBL Demo
(github.com)
2 points
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promptfluid
6mo ago
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1 comments
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promptfluid
6mo ago
I experimented with adding a deterministic runtime layer to an existing codebase without modifying its source. As a test case, I used Transformers from Hugging Face Transformers and took modeling_utils.py (v5.5.0) directly from the repo. In
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promptfluid
6mo ago
I submitted a fix to Hugging Face for a vulnerability in the training model for all of the models in their software and as opposed to getting a technical response, the person who responded actually mocked my entire system and made fun of me
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promptfluid
6mo ago
https://github.com/SweetKenneth/cmpsbl-modeling-utils-apex/b... —————- import { verifyFingerprint } from '@cmpsbl/test-harness'; const record = await verifyFingerprint('504ac991648533ac');
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Can deterministic coding be relevant in 2026?
(npmjs.com)
2 points
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promptfluid
6mo ago
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2 comments
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promptfluid
6mo ago
Can one person write a 200k lime CLI that has DREAM states, evolution, persistent memory, cryptographic fingerprints, first contact on init, a duel layer coding system that is patent pending and wrapped the most widely downloaded training m
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No-AI code analysis found issue in HF tokenizers
(zenodo.org)
1 points
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promptfluid
6mo ago
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0 comments
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promptfluid
6mo ago
Couldn’t find an exact ARKS match in the Memory Stream but what I found is better — Constitutional AI Guardian, CJPI 100. Enforces hard constitutional constraints on autonomous behavior with graduated intervention. Optimization pressure can
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promptfluid
6mo ago
A bit of context on how this works since people will ask: The substrate has no LLM inside. No GPT, no Claude, no API calls. It’s pure algorithmic code — deterministic primitive collision. I used AI as a learning tool to build it, but there’
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Show HN: CMPSBL Software Factory — Free Daily Drop $2.9M
(pastebin.com)
2 points
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promptfluid
6mo ago
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3 comments
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promptfluid
8mo ago
In CMPSBL, the INCLUSIVE module sits outside the agent’s goal loop. It doesn’t optimize for KPIs, task success, or reward—only constraint verification and traceability. Agents don’t self judge alignment. They emit actions → INCLUSIVE evalua
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promptfluid
8mo ago
Oh shoot. That’s what I meant.
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promptfluid
8mo ago
To clarify: these aren’t prompts or hosted APIs. Each capability is a downloadable artifact that executes locally (JS/WASM/container/edge), is licensed, versioned, and removable. Think software components, not chat agents.
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Ask HN: Does selling AI capabilities as licensed, downloaded software make sense
(cmpsbl.com)
1 points
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promptfluid
8mo ago
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4 comments
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promptfluid
8mo ago
I’ve been building something that doesn’t fit cleanly into agents, SDKs, or plugins, so I’m posting to get technical feedback rather than hype reactions. Instead of shipping an AI product or “agent,” I built a system where AI functionality
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promptfluid
8mo ago
Most AI agents today are purely reactive—they wait for a token and then stop. I’ve been building a persistent runtime where the "thinking" doesn't stop when the user leaves. This video is an uncut look at the autonomous state
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promptfluid
8mo ago
For anyone curious about what I mean by “substrate” in this context - this isn’t an agent framework or wrapper around a single LLM. CMPSBL is operating more like a cognitive OS: it provides persistence (memory), observability, defense, mult
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Show HN: Cmpsbl OS v5.5.0 – A Self-Hosting Cognitive Substrate (131k LOC)
(zenodo.org)
1 points
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promptfluid
8mo ago
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1 comments
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promptfluid
8mo ago
There’s a lot of “agent OS” vaporware going around right now, so here are some concrete things this system actually does today: 1. Shadow deployment for mutations The Modernizer proposes patches → runs them in shadow → validates → escalates
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promptfluid
8mo ago
For context on what you’re seeing: this isn’t an “agent” or chatbot. It’s a cognitive substrate I’ve been building for the last year that behaves more like an operating system for model orchestration. A few useful details for people who ask
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Logs from my self improving, dreaming AI substrate (OS), w persistent memory
(pastebin.com)
1 points
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promptfluid
8mo ago
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3 comments
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promptfluid
8mo ago
These are the logs that turned a machine, into an organism. I just joined the self improving software development team. Artifacts are the best receipts. Thoughts?
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promptfluid
8mo ago
I got tired of building the same AI 'plumbing' (vector memory, routing fallbacks, rate limiting) every time I started a project. I wanted a system that was AI-native from the metal up, not just a script with a prompt. The first Co
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promptfluid
9mo ago
I’ve been updating this interactive system on a fixed cadence (the 1st and 15th of every month) as a constraint. No exceptions. Last night’s update wasn’t a redesign or feature drop. It marked a transition into a new era: traversal changed,
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