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Created: 2025-07-18 20:46:22 UTC

Tiny AI Models Reveal How We Really Make Decisions

Humans and animals don’t always make perfect decisions, and that imperfection is revealing. 

Researchers developed small, interpretable AI models to study decision-making, finding they better captured real-world, flawed strategies than traditional models. 

These “tiny” neural networks successfully predicted choices in humans, primates, and rats, including suboptimal patterns often overlooked by optimality-based theories. 

The simplicity of these models also made it easier to understand the strategies behind the decisions. 

Their findings highlight how individual differences in decision-making can be mapped and understood. 

This approach could reshape how we view mental health, cognitive diversity, and human behavior.

![](https://pbs.twimg.com/media/GwKvI8BXgAAqDBh.jpg)

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[neural](/topic/neural)
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[Post Link](https://x.com/NeuroscienceNew/status/1946310599627206907)

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NeuroscienceNew Avatar Neuroscience News @NeuroscienceNew on x 504.3K followers Created: 2025-07-18 20:46:22 UTC

Tiny AI Models Reveal How We Really Make Decisions

Humans and animals don’t always make perfect decisions, and that imperfection is revealing.

Researchers developed small, interpretable AI models to study decision-making, finding they better captured real-world, flawed strategies than traditional models.

These “tiny” neural networks successfully predicted choices in humans, primates, and rats, including suboptimal patterns often overlooked by optimality-based theories.

The simplicity of these models also made it easier to understand the strategies behind the decisions.

Their findings highlight how individual differences in decision-making can be mapped and understood.

This approach could reshape how we view mental health, cognitive diversity, and human behavior.

XXXXX engagements

Engagements Line Chart

Related Topics neural realworld coins ai

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