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id: "000b68dcd1349dc118356779e93aa9a5fb7686223871ef47f79ff7a5e5c933d3"
canonical_url: "https://aidr.today/000b68dc?lang=en"
title: "Q&A: How AI came to model the “messy” human mind"
lang: "en"
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available_langs: ["en","vi"]
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published_at: "2026-10-23T04:00:00.000Z"
category: "Research"
topics: ["llm"]
source_urls: ["https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023"]
summary: "Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate."
---

# Q&A: How AI came to model the “messy” human mind

> [Open the canonical story](<https://aidr.today/000b68dc?lang=en>)

**Published:** 2026-10-23T04:00:00.000Z
**Category:** Research
**Topics:** llm

## Summary

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep\-learning models that sometimes hallucinate\.

## Sources

- [Story source](<https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023>)