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title: Is DOOM a Tensor? | LIVE165 | daily.dev
description: A live conference talk exploring whether Doom can be represented as a tensor by building a RISC-V CPU emulator entirely in ONNX graph nodes. The speaker...
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# Is DOOM a Tensor? | LIVE165

**[Visual Studio Code](https://daily.dev/sources/vscode)** · 17 min read · 0 upvotes · 0 comments

## Summary

A live conference talk exploring whether Doom can be represented as a tensor by building a RISC-V CPU emulator entirely in ONNX graph nodes. The speaker compiled Doom into RISC-V machine code, first disassembled it using Excel formulas (discovering Excel is Turing complete), then built an ONNX model graph representing a full CPU with RAM as a tensor. The result ran at roughly 2 kHz — one frame every 3-6 hours. The talk wraps with practical advice: when using AI coding assistants like Copilot to optimize performance, always establish a benchmark first, use the rubber duck/contrasting hypothesis feature, and understand that downloaded models may not be optimized for your specific hardware (GPU, NPU, tensor cores).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=5Pe1m-dgOOs>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#github](https://daily.dev/tags/github)

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