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Microsoft researcher builds a working neural network out of goats in Age of Empires II to critique AI science

A Microsoft researcher built a neural network out of goats. Here's why it matters for how you evaluate AI research.

Illustration of a transparent lens revealing connected networks across layers of paper.
Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

A provocative critique of AI research methodology: a meta-analysis of 315 papers reveals that over half assume language models possess human-like traits before experimentation begins. The goat demonstration is a thought experiment exposing how interface design and presentation bias can obscure fundamental questions about what AI systems actually do versus what we anthropomorphize them as doing.

The key facts

5 to know
  1. 315 papers analyzed

  2. >50% of papers assume language models have human-like traits pre-experiment

  3. Neural network constructed from goats, bridges, and ice ramps in Age of Empires II map editor

  4. Critique centers on methodology bias and anthropomorphization in AI research

  5. Microsoft researcher authorship

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: A Microsoft researcher built a working neural network out of goats, bridges, and ice ramps in the Age of Empires II map editor. What looks like a joke is a pointed critique of AI research methods. His analysis of 315 papers found that more than half already assume language models have human-like…
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