Intelligence Density

The metric representing the ratio of model capability and reasoning performance to parameter count or computational footprint. Maximizing this ratio is a central goal in model-efficiency and efficient inference.

Core Principles

• Information Per Bit: Maximizing semantic utility and reasoning accuracy within reduced-precision weights.
• Structural Efficiency: Utilizing advanced architectures like model-efficiency to compress large language models (LLMs) while minimizing the degradation of intelligence.

Recent Developments

• bonzai-8b (developed by prismml): An implementation of a 1-bit LLM based on the Qwen 2.0 8B architecture, achieving high intelligence density.
• Demystifying AI: Transformer Training on a 1979 PDP-11
  • Author / channel: Dave’s Garage
  • URL: https://www.youtube.com/watch?v=OUE3FSIk46g
  • Summary: Demonstrates the training process of a neural network using a transformer on a vintage 1979 44 computer with single CPU and limited memory, highlighting the core principles without relying on modern GPU clusters.

2026 04 13 Demystifying AI Transformer Training on a 1979 PDP 11

Source Notes

• 2026-04-07: Bonzai 8B: PrismML’s Revolutionary 1-Bit LLM First Look & Test Clip title: PrismML Bonsai 8B First Look & Test - A TRUE 1-Bit LLM? Author / channel: Bijan Bowen URL: https://www.youtube.com/watch?v=aNg47-U_x6A Summary This video introduces Bonzai 8B, a revoluti (Bonzai 8B: PrismML’s Revolutionary 1-Bit LLM First Look & Test)
• 2026-04-08: Bonzai 8B: PrismML’s Revolutionary 1-Bit LLM First Look & Test Clip title: PrismML Bonsai 8B First Look & Test - A TRUE 1-Bit LLM? Author / channel: Bijan Bowen URL: https://www.youtube.com/watch?v=aNg47-U_x6A Summary This video introduces Bonzai 8B, a revoluti (Bonzai 8B: PrismML’s Revolutionary 1-Bit LLM First Look & Test)