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developerz.ai — research

A workbench for taking interesting ideas seriously enough to try to break them.

We read a lot: books, papers, talks, interviews. Most interesting claims in AI are stated in one place and tested in none. This repo is where we pull those ideas apart, combine them across sources, and build a small proof of concept to find out which parts survive contact with a GPU.

Each project ends in a written verdict. "It did not replicate" is a publishable result here.

How it is organised

Path What lives there
docs/ The method, the toolchain, how to start a project
templates/ Copy-paste starting points for notes and projects
library/ Cross-project knowledge: sources, atomic ideas, syntheses
projects/ Self-contained PoCs, one directory each
tools/ Shared scripts

The pipeline is deliberately linear:

source  ──►  idea  ──►  synthesis  ──►  claim  ──►  experiment  ──►  verdict
(what was    (atomic,   (combine      (falsifiable  (preregistered,  (honest
 said)        reusable)  across        + a metric)   seeded, with a    writeup)
                         sources)                    baseline)

See docs/method.md for what each step demands.

Projects

# Project Question Status
001 geometric-reasoning Is reasoning a property of a model's internal geometry rather than its size? Can a small model be engineered into robust reasoning? 🟡 active

Hardware

Everything here is designed to run on one workstation: RTX 3090 (24 GB), Ryzen 7 5700X3D (8c/16t), 64 GB RAM. This is a constraint we like — an idea that only works at datacenter scale is an idea we cannot check, and a good chunk of this repo exists to ask whether that scale was ever necessary.

Setup

# one-time: uv manages Python and every project venv
irm https://astral.sh/uv/install.ps1 | iex

cd projects/001-geometric-reasoning
uv sync                       # creates .venv, installs deps
uv run python -m geomreason.doctor   # verifies CUDA, prints hardware

Full details in docs/toolchain.md.

Ground rules

  • Claims are tagged by evidence class ([source], [lit], [ours], [open]) — a company's claim about its own product never silently becomes a fact.
  • Falsification conditions are written before the code that could satisfy them.
  • Every number is backed by a seeded run in results/ with a git SHA.
  • Baselines are matched on compute budget, not on convenience.

More in CLAUDE.md.

About

Research workshop for developerz.ai. Distil ideas from books/papers/talks, combine them across sources, then build a PoC that tries to break them. Preregistered experiments, evidence classes, honest negative results. Runs on one GPU (CUDA/ROCm/CPU).

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