Stardance Devlog #3

June 7, 2026

Today I realized RUMI’s biggest limitation wasn’t math, evidence, reviewers, or the 17-stage pipeline.

It was curiosity.

For days I’ve been making RUMI better at reading papers, finding gaps, generating hypotheses, scoring theories, and validating ideas, which actually improved her ALLAT…
but still something felt missing.

Then it hit me.

RUMI could analyze research.

RUMI could synthesize research.

RUMI could critique research.

But RUMI never stopped and asked:

“Why does this happen at all?”

And that’s where most discoveries begin🥀

So today I built Phase 0 — The Curiosity Engine.

Before reading papers.

Before building knowledge graphs.

Before generating mechanisms.

RUMI now starts by questioning the problem itself.

What could be causing this?
What assumptions are we making?
What if the accepted explanation is incomplete?
What are we not looking at?

Basically, RUMI now wonders before she researches😭

The first implementation was a disaster.

I merged curiosity directly into the main pipeline and immediately turned the architecture into spaghetti.

So I rebuilt it.

Now there are two separate paths:

Conventional RUMI

Reads
Analyzes
Verifies

Curious RUMI

Questions
Explores
Challenges assumptions

Both run independently and merge into the final report💔

The funny part is that after building theory tournaments, Bayesian reasoning, evidence systems, mathematical verification, observability checks, and dozens of other modules…

The biggest upgrade might have been teaching RUMI something humans learn as children:

Curiosity🥀😭

Today’s Progress

Phase 0 Curiosity Engine ✅
Dual-Pipeline Architecture ✅
Evidence Extraction Improvements ✅
Observability Checks ✅
Mechanism Completeness Scoring ✅
My Sanity ❌

See you tomorrow.

Hopefully before RUMI starts asking questions that create more problems than answers.
🥀💔