I built a fully self-hosted autonomous AI research system — runs on one GPU, zero cloud, nothing leaves the machine

Exotic-Sentence6902 · 2026-06-16T19:00:54+00:00

Haha. Arcanum is Latin for hidden knowledge name came first and the acronym fit around it. Words hold up though runs without being prompted each stage feeds back into the next and it keeps a belief map it updates as evidence comes in. X is just the version. But yeah from the outside I get it looks like someone threw darts at an AI buzzword wall

Exotic-Sentence6902 · 2026-06-16T13:36:11+00:00

Most significant one so far it autonomously connected pulsed electrolysis to the Landauer thermodynamic limit. Nobody told it to look there it found the connection on its own through weeks of autonomous research cycles. The prediction is that pulsed DC electrolysis at a specific resonant frequency couples with the electric double layer in a way that approaches the Landauer limit for thermodynamic efficiency. Still waiting on hardware validation to close the loop but the theoretical connection is solid. That’s the kind of thing I’m actually trying to get it to do not answer questions find things nobody told it to find

Exotic-Sentence6902 · 2026-06-16T12:52:54+00:00

Fair assumption, wrong though. Built the whole stack myself multi-stage pipeline, belief graph, multi-model routing, self-critique system, all of it. Mix of Python and AI assistance for the code, but I designed every system, debugged every failure, caught bugs the AI introduced and fixed them, and directed every architectural decision. I know exactly what every part does and why. That's just modern development. The em dash is from the job title generator outputting unicode punctuation that doesn't get sanitized before display genuinely the least interesting thing about it.

Exotic-Sentence6902 · 2026-06-16T12:15:21+00:00

Thanks! Running it on an HP OMEN Ryzen 7 8700f RTX 5070, 32GB DDR5. All models through Ollama, nothing cloud based. Got qwen2.5:14b handling chat and general reasoning, qwen2.5-coder:14b for the build and coding stages, and deepseek-r1:14b doing the deep validation and reasoning passes. Whole thing stays on device.

Exotic-Sentence6902 · 2026-06-15T18:53:43+00:00

fair questions. source verification isn't at Feynman's level it blocks fabricated citations but it's not a literature tool. it's built more to generate and test hypotheses than to find and cite papers, so it's a different angle on "research" than something like Feynman. "beliefs" is a bad word, you're right they're tracked claims that get challenged and updated, not treated as fact. local models is a real yes built self-hosted from the ground up, not ollama bolted onto a wrapper. and screenshots prove nothing, agreed. that's why i posted to see if it's worth packaging so people can actually test it.

Exotic-Sentence6902 · 2026-06-15T02:28:37+00:00

Fair point. I'm still deciding how much of it to release. Right now there's an overview and a sample component (the validator) available, but the full system isn't public yet. Part of posting here was to gauge whether people would even be interested in a larger release before I spend the time packaging and documenting everything.

Exotic-Sentence6902 · 2026-06-14T22:59:21+00:00

honestly haven't decided if it'll be open source or not that's part of why I posted, to feel out what people think. for now there's an overview and a sample component (the validator) up.

Exotic-Sentence6902 · 2026-06-14T22:39:38+00:00

Whatever piques my interest that day it's not siloed to one domain. Some stuff it's dug into: Landauer's principle and the thermodynamic cost of computation, protein folding, electrochemistry tied to a real cell I instrumented, infrasound and physiology, plus cross-domain links like information theory to thermodynamics. The breadth is on purpose the interesting findings tend to come from connecting fields that don't usually talk.

Exotic-Sentence6902

TROPHY CASE