Dendritron: Adding Memory to Frozen Models
Own-Poet-5900 · reddit · 2026-07-16
The author proposes a new architecture called Dendritron, attempting to return to early AI/neuron modeling concepts to create a "complete replacement for the Perceptron."
Core claims include:
- Traditional single-layer input/output designs have fundamental limitations.
- Dendritron can act as a parameterized module that directly "bolts on" to frozen Transformer models.
- This enables internal parametric memory and continuous learning capabilities for open-source frozen models.
The author also clarifies that this code is strictly for open-source models and cannot be used on closed-source models, providing a Colab Notebook and a more in-depth video explanation.
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