Minds, Machines, and the Art of Being Wrong
Psych 🧠- 418/500
Reader,
Do AI and human minds have more in common than we think?
This paper takes a wild ride into the world of "hallucinations," arguing that making mistakes might be a fundamental part of being intelligent, whether you're made of neurons or code.
What is it?
The paper compares how both human brains and large language models (LLMs) produce "hallucinations," defined as perceptions or outputs that deviate from reality.
It explores the underlying mechanisms, highlighting predictive processing in humans and autoregressive modeling in AI.
Key Findings:
Both humans and AI models hallucinate when trying to make sense of incomplete information.
Humans often rely on emotions to solve hallucinating issues, while AI models still require external input.
Hallucinations can be a trade-off for creativity and adaptability.
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What do I need to know:
Hallucinations aren't just errors, but a natural part of intelligence.
Understanding how the human brain corrects errors may help improve AI systems, and vice versa.
The future of AI might involve models that "hallucinate better" and can self correct.
Source:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5167140