Survival is the Only Reward: Sustainable Self-Training Through Environment-Mediated Selection
The arXiv paper on negative-space learning: self-evolving agents whose behaviours are selected by environmental viability, not by a reward function.
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AI 69
Geology 26
Benchmarking 24
Machine Learning 16
Evaluation 12
Agentic AI 10
Open Source 9
Reinforcement Learning 5
China 4
Complexity Theory 3
AI
Machine Learnability as a Measure of Order
Explore how machine learnability as a measure of order works in aperiodic sequences by using ML to detect patterns in prime number distributions across the Ulam spiral.
Machine Learnability as a Measure of Order in Aperiodic Sequences
The arXiv paper: an image model on the Ulam spiral measures learnable order in the primes at different scales, using ML accuracy as a number-theory tool.
Generalising from Self-Produced Data: Model Training Beyond Human Constraints
Generalising from self-produced data: empirical validation, ungameable rewards and autonomous retraining as a way past the limits of human data.
Grokking and T-Schemas: How AI Models Define Truth
AI models cannot check truth from inside their own formal system. Grokking looks like a model building an internal T-schema to judge its own claims.
Learning the Language of Rain
Why a weather model predicts rain from cloud images alone: the images compress hidden variables like wind and humidity, so a small model beats a big one.
Artificial Intelligences in the Guanzi and the Han Feizi
Explore how Artificial Intelligences in the Guanzi and the Han Feizi describe systems that learn, self-improve, and solve problems without requiring intelligence.
Evolving a Generalising AI from Existing Technologies
Our 2020 blueprint for recursive self-improvement: a general AI graded on one ungameable signal, disk space occupied, not a correctness metric.
Why it is Impossible to Program a General AI Using Conventional Methods
Why Conventional programming cannot build general AI: explore the limits of instruction-based systems, compounding prohibitions, and the proposed fractal alternative.