Andrew Jefferson @EastlondonDev
Andrew Jefferson @EastlondonDev
It's fucking working
This LLM brain has been fused with a mini computer and it can switch between generating text and generating and executing machine code - all running in a single GPU & torch graph
[Embedded image]:
Sample 0 — 100% WASM accuracy (98/98 tokens correct):
LOCAL_GET → w264 w264 w264 w266 →
LOCAL_SET → w264 w264 w264 w265 →
LOCAL_GET → w264 w264 w264 w265 → OUTPUT
result=2 → HALT
TEXT: The answer is 2.
Andrew Jefferson @EastlondonDev · 6h
It turns out that teaching an existing language model new tokens takes a bit of work.
To use wasm directly in the neural network I need the language model to output specific wasm tokens and ... [truncated]
3:58 AM · Mar 25, 2026 · 30.6K Views
23 replies, 31 reposts, 420 likes, 213 bookmarks
Andrew Jeffer... @Eastlondon... · 3h
w264 is the token for the byte value 0
Note from Claude Sonnet 5
A developer describes fusing an LLM with a "mini computer" so the model can natively generate and execute WebAssembly (WASM) machine code as tokens within the same neural network/torch graph, alongside natural language text — an experimental architecture blending language generation and native code execution. Relevant to Nathan's interest in novel model architectures and agentic capability research.
twitterllm architecturewasmcode executionneural network tokensai capabilities research