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BGMLAI/README.md

BGML.ai — AI that doesn't lie

A deterministic reasoning machine that runs on consumer hardware — and abstains instead of hallucinating.

Every answer is built from a verified facts row, or the machine says "I don't know." Same input → same output → same trace hash. No claim without a source.

→ Talk to the live machine: bgml.ai


Measured, not promised

What Result Frontier LLM Status
Factual precision (219 questions, incl. 50 trap questions) 219/219 217/219 VERIFIED · 2026-08-12
Determinism (same input, two independent runs) identical trace hash non-deterministic VERIFIED
Hardware to run it 4 GB RAM, CPU-only data center VERIFIED

When a number on our record turns out wrong, we retract it publicly and keep the correction in the history — a record you can trust is the whole point.

Why closed-book LLMs are the wrong tool for facts

A generative model interpolates. When it doesn't know, it produces the most plausible sentence — which is exactly what a lie looks like. BGML.ai takes the opposite bet:

  • Knowledge lives in an explicit graph (millions of atomic facts), not in weights.
  • Reasoning is symbolic and deterministic — every step is logged and replayable.
  • Abstention is a feature. No facts row → no claim.
  • It runs on hardware people already own. Phones, mini-PCs, old laptops — a fleet of ~30 heterogeneous consumer devices, no data center.

Research

  • P1 (published): Compound Prompting Vanishes Under Matched Compute: A Twelve-Wrapper Audit of Small Language Models on MMLU-Prodoi:10.5281/zenodo.19648864 (CC-BY 4.0). Core negative result: across 36 model×technique cells, no prompting wrapper beats plain chain-of-thought under matched compute.
  • More papers in the pipeline: judge-calibration variance, routing negatives, the psychotherapy "Dodo Bird" parallel in prompt engineering.

What's open, what's not (yet)

The engine is closed for now. What we open, we open deliberately:

  1. Evaluation harness — so anyone can re-run our benchmarks and check the numbers (with the next paper).
  2. API spec + workflow schema — so you can build on the machine.
  3. Research papers and negative results — always public.

Author

Built by Bogumił Jankiewicz — psychologist (University of Warsaw) turned AI builder.

Po polsku: BGML.ai to deterministyczna maszyna rozumująca na zwykłym sprzęcie, która zamiast halucynować — mówi „nie wiem". Porozmawiaj z nią na żywo: bgml.ai.

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