Research
@rmaruy Can Code/Symbol Systems Emerge Inside a Single Neural Network? https://medium.com/@rmaruy3/can-code-symbol-systems-emerge-inside-a-s…
This article by @rmaruy explores whether discrete code or symbol systems can spontaneously emerge within a single neural network, examining the conditions under which internal representations might de
This article by @rmaruy explores whether discrete code or symbol systems can spontaneously emerge within a single neural network, examining the conditions under which internal representations might develop structured, symbolic properties. The piece likely investigates the intersection of neural network dynamics and symbolic AI, addressing whether connectionist systems can give rise to compositional or rule-based internal languages. This topic relates to broader questions in AI research about the nature of learned representations and the potential reconciliation of neural and symbolic approaches to intelligence.
Related
- 一つのニューラルネットに符号と記号は創発しうるか？ 「Neural Computers」論文から考える @rmaruy https://rmaruy.hatenablog.com/entry/2026/04/11/223828
- A 'Neural Computer' is built by adapting video generation architectures to train a World Model of an actual computer that can directly simul…
- Loom: A Scalable Analytical Neural Computer Architecture
- Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yoruba
Source: David Ha (X) | 2026-04-14