Thinking Machine 2.0 – Self-evolving AI framework for strategic reasoning

Summary: Thinking Machine 2.0 is a research-grade AI platform that continuously evolves its reasoning and learning through modular components like long-term memory, world-model simulation, and self-training. It integrates retrieval-augmented generation, game theory optimization, and safety mechanisms to support strategic AI system development.

What it does

It implements a cognitive pipeline combining user context retrieval, task classification, knowledge base search, multi-agent reasoning, self-evaluation, and response synthesis. The system supports self-modification via genome versioning, LoRA fine-tuning, and game theory-based strategy optimization.

Who it's for

It is designed for researchers and developers building advanced AI systems requiring continuous adaptation, strategic reasoning, and safe self-improvement.

Why it matters

It addresses the limitations of static LLMs by enabling AI systems to evolve autonomously while maintaining safety and governance through immutable core rules and human-in-the-loop controls.