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Advancing Mathematical Reasoning in AI: Introducing Reverse-Process Synthetic Data Generation

A reverse-process approach to synthetic data generation for training LLMs on mathematical reasoning, producing step-by-step solutions from worked examples.

June 25, 2024 · 5 min read

Why Artificial Superintelligence Can't Escape the Void

ASI is still subject to Gödel's incompleteness theorems. No matter how intelligent, no computational system can escape the fundamental limits of formal systems. Even superintelligence can't prove all truths.

November 5, 2025 · 6 min read

The Policy: Q-Learning vs Policy Learning

SIGMA uses Q-learning rather than direct policy learning. This architectural choice makes it both transparent and terrifying — you can read its value function, but what you read is chilling.

November 4, 2025 · 9 min read

Compositional Prompting for LLM Reasoning: A Monte Carlo Tree Search Framework

A new approach to LLM reasoning that combines Monte Carlo Tree Search with structured action spaces for compositional prompting.

October 9, 2025 · 2 min read

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