promptfluid

6 ms·

1.
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
2.
by promptfluid 1mo ago
function secretOfLife() { const work = doHardThings(); const crew = peopleYouLove (); const impact = buildFor (crew, { scope: 'the world', duration: 'decades', forgetEverythingElse(); return impact;
3.
by 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
4.
Cacheinvalidate.com Was Still Available(cacheinvalidate.com)
2 points by promptfluid 2mo ago|0 comments
5.
Self-Discovery Through Archaeology(kesjr.com)
3 points by promptfluid 4mo ago|0 comments
6.
I wrapped a LangChain agent without modifying its code (Ascension V2)(github.com)
1 points by promptfluid 5mo ago|0 comments
7.
Runtime augmentation of Hugging Face without modifying source – CMPSBL Demo(github.com)
2 points by promptfluid 6mo ago|1 comments
8.
by 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
9.
by 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
10.
by promptfluid 6mo ago
https://github.com/SweetKenneth/cmpsbl-modeling-utils-apex/b... —————- import { verifyFingerprint } from '@cmpsbl/test-harness'; const record = await verifyFingerprint('504ac991648533ac');
11.
Can deterministic coding be relevant in 2026?(npmjs.com)
2 points by promptfluid 6mo ago|2 comments
12.
by 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
13.
No-AI code analysis found issue in HF tokenizers(zenodo.org)
1 points by promptfluid 6mo ago|0 comments
14.
by 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
15.
by 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’
16.
Show HN: CMPSBL Software Factory — Free Daily Drop $2.9M(pastebin.com)
2 points by promptfluid 6mo ago|3 comments
17.
by 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
18.
by promptfluid 8mo ago
Oh shoot. That’s what I meant.
19.
by 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 by promptfluid 8mo ago|4 comments
21.
by 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
22.
by 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
23.
by 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 by promptfluid 8mo ago|1 comments
25.
by 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
26.
by 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
27.
Logs from my self improving, dreaming AI substrate (OS), w persistent memory(pastebin.com)
1 points by promptfluid 8mo ago|3 comments
28.
by 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?
29.
by 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
30.
by 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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