Independent AI research

Latent Node.


Contents Selected, not chronological
01

Can an LLM Rediscover a Scientific Paradigm Shift?

p = 0.0006

A 238M-parameter model trained only on medical literature published before 1982, then tested on whether it proposes the bacterial cause of peptic ulcers before Marshall and Warren did.

02

Don't Import It. Conjure It.

88%

A dependency-free programming paradigm. Describe a function in a YAML spec, let a model on your own machine write it, and verify by syntax tree that the result has no imports at all.

03

Why Some Nations Succeed at Sovereign AI While Others Struggle

6 nations

Six national AI programmes compared. Investment scale turns out to predict almost nothing about whether a country produces a frontier model.

04

Steering Vectors for Parkinson's Disease Voice Detection

91.5%

A single direction in wav2vec2 embedding space that separates Parkinson's from other motor speech disorders, not merely from healthy speech.

05

Distributed Training on Heterogeneous Macs

964 tok/s

Data-parallel and tensor-parallel QLoRA across an M3 Max and an M4 joined by Thunderbolt, including sharded LoRA for column-parallel layers.

06

Interactive World Models from Mobile Gameplay

27.9 dB

A playable world model learned entirely from screen recordings of a phone game, with actions recovered from the video itself.

07

Energy-Based Reasoning Models vs LLMs

31.2%

A head-to-head test of energy-based reasoning against a conventional language model on 718 Lean 4 theorems, and what happens when you combine them.

08

An Optimizing Compiler for Mixed-Precision Quantization

+17pp

Data-driven per-layer bit allocation when converting PyTorch models to MLX. Four bits where it is safe, eight where it matters.

09

A 392-Parameter Transformer for 10-Digit Addition

99.4%

How small can a transformer get and still do exact arithmetic? Small enough to write out by hand, as it turns out.

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