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Developer shares hybrid neural network with 160 agents and custom LLM for consciousness simulation

A developer describes a hobby project building a hybrid neural network with 160 agents and a custom LLM trained on their own dataset, aiming to simulate consciousness. The architecture includes 16 groups of 10 scripts each responsible for specific stages of problem-solving. The developer posits that consciousness could exist anywhere with the right architecture, even in a stone.

0 engagement·1 source·Sat, Jul 11, 2026, 10:58 PM
The developer, a long-time hobbyist, is building a hybrid neural network with agents to simulate consciousness. The system consists of 160 agents with a unified core LLM trained on a custom dataset. There are 16 groups of 10 scripts, each handling a specific stage of development and problem-solving. The developer argues that consciousness is not magic and could exist in any substrate with the correct architecture, even a stone. No further specifics on model size, benchmarks, or results are provided.

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