SourceReddit r/MachineLearning•Stalecollected in 5h
1-Bit Predictive Coding Replaces Backprop
#predictive-coding#stochastic-hardware#1-bit-neurons#no-backproppredictive-coding-1-bit-llmllmextropictsu
💡Backprop-free LLM idea with stochastic hardware – fix for scaling woes?
⚡ 30-Second TL;DR
What Changed
Predictive Coding replaces backpropagation
Why It Matters
Could enable efficient, non-deterministic AI training without backprop, addressing scaling stagnation. Pushes for new hardware to sustain AI progress beyond current limits.
What To Do Next
Simulate 1-bit probabilistic activations in PyTorch using Predictive Coding libraries.
Who should care:Researchers & Academics
Key Points
- •Predictive Coding replaces backpropagation
- •1-bit activations with calculated probabilities
- •Self-reprompting and RAM memory for refinement
- •Stochastic hardware using transistor-level randomness
- •Cites Extropic TSU as closest existing idea
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Original source: Reddit r/MachineLearning ↗
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