Posts by Flamehaven
@Flamehaven
Yun Kwansub
Scientific AI Systems Architect | BioAI & Physics-ML | Deploying Regulated AI Mo...
Posts by Flamehaven
!coverhttps://coderlegion.com/?qa=blob&qablobid=4234498897804287785
> When a repository carries this kind of pedigree, people stop asking questions.
Runchuan-BU/BioClaw 1 — a biomedical AI assistant published on bioRxiv on April 14, 2026 by a multi...
Why a proved theorem still needs reproducible claim custody
!open aihttps://coderlegion.com/?qa=blob&qablobid=2108443327152872531
On May 20, 2026, OpenAI announced1 that an internal reasoning model had produced a counterexample to the Erdős planar...
!cover imagehttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/f3k7jz1voscq51d9kuu7.png
Glossary: terms used in this article
MICA Memory Invocation & Context Archive: A governance schema for AI context management. Defines how context should...
Our team runs fast. Everyone uses AI — for code review, architecture decisions, issue triage, sprint planning. The individual work is solid. The outputs are good.
The problem shows up in the meeting.
Someone opens a PR and shares the AI-generated a...
!Beyond Repo Scanninghttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/kyj7biyn850iewno8ywf.png
This is the second half of the same 1.7.x transition.
In the previous post, I wrote about calibration governance: how STEM BIO-AI keeps score au...
When Control Becomes Authority: Calibration Governance in STEM BIO-AI 1.7.x
Control slowly becomes authority when nobody marks the boundary.
That is the calibration problem I kept running into while building STEM BIO-AIhttps://github.com/flamehave...
A governance engine should not pretend to know the truth of every domain.
That was the architectural lesson behind CGF.
At Flamehaven Labs, we build B2B governance engines for highly regulated environments. Over the past year, we developed speciali...
Earlier in this series, I wrote about why bio/medical AI repositories need more than benchmarks, what I learned after auditing 10 public repositories, and why an AI auditor itself needs a memory contract.
That work led to STEM-AI v1.1.2 and the MICA...
I. The Cave
!https://coderlegion.com/?qa=blob&qablobid=16056241003566421818
I once wrote a document that described a system called an "Existential Invocation Engine." It had layers — a Codex Drift-Lock Core, a Scroll Resonator, an Archival Nexus w...
!The Quiet Failure of AI Developmenthttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/f2hqsg05873bhhlmli4u.png
AI-assisted development has a quiet failure mode: the assistant that creates the pattern often becomes the assistant that reviews i...
!Image descriptionhttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/1fj5kfblnvz80fjttvnl.png
> Previous article:
> How Auditing 10 Bio-AI Repositories Shaped STEM-AIhttps://dev.to/flamehaven01/how-auditing-10-bio-ai-repositories-shaped-stem-ai...
> No efficacy, causal, or clinical claims are made in this report.
RExSyn is an experimental Bio-AI governance pipeline.
You do not need to know the earlier experiments to read this report.
Most AI pipeline reports ask one question:
Did the system...
> This time, the wave is not about agents that act.
> It is about architectures that appear to think.
The Story Arrived Before the Code
!https://coderlegion.com/?qa=blob&qablobid=3918576626511044449
A young AI genius.
A reconstructed Claude Mythos...
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FLAMEHAVEN FileSearch: Why This RAG Engine Feels Different from the Usual Stack
RAG is no longer an exotic idea.
At this point, most developers have seen...
The Zurich Case: Operational Success vs. Compliance Architecture
!https://coderlegion.com/?qa=blob&qablobid=2452803590136326558
A clinician in Zurich recently watched a short video explaining how easy it now is to build software with AI. The messag...
I published a LinkedIn post about AI-SLOP Detector's self-calibration system and download numbers. Someone asked the reasonable question: "Can you actually back that up?"
Yes. Here's the source.
This isn't a feature announcement. It's a line-by-lin...
The Next AI Moat May Not Be the Harness Alone: A Mathematically Governed Self-Calibrating Code-Revie
We have spent the last year learning a useful lesson about AI systems: the model is not the whole product.
The harness is.
By harness, I mean the orchestration layer around the model: context loading, tool routing, memory surfaces, recovery logic, ...
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