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Valentin Guigon

Cognitive neuroscientist at UMD, member of the Social Learning and Decisions Lab. I study decision-making, social learning and the formation/update of human beliefs.

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Substack
PricingOnly free issuesPublishesWeekly
Issues13Foundeda year agoLast Issue14 days ago
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Latest Issues

Supervising LLMs in multi-step projects is a governance problem

LLMs are incredibly useful in dense, complex, multi-step projects, but only when delegation is governed. Delegation must be governed through strict roles, project memory, and repository artifacts.


Large language models can operate a...

14 days ago
5
3

The problem of experimental control in evaluating genAI models

This is a short essay, in reaction to the very recent report from Anthropic.

On April 7, 2026, Anthropic publicly released its system card on Claude Mythos Preview. One section of the report addresses Claude Mythos Preview’s awareness of e...

a month ago
5

3.5 days to build a March Madness forecasting system

Update, April 2026: the tournament is complete with a comprehensive public site. The Forecast pages run through the championship, and the public project includes additional layers for portfolio interpretation, repo-supported synthesis, and...

2 months ago
2

Neuroscience 2035: The future of neuroscience is integrative

The past decade (2015–2025) was fertile in tools, methods, and data. The challenge of the next decade is not further expansion along any one of these axes but integration across all of them: across levels of description, across species, acr...

3 months ago
15
11

Better Judgments: How AI forecasting abilities will reshape human metacognition

L. Geay, C. J. Charpentier, and I argued recently that, with a world becoming increasingly uncertain and intractable, we want to strengthen people’s ability to evaluate the plausibility of incoming information in all its forms, and to calib...

3 months ago
3

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  • Valentin Guigon

    Computational neuroscientist at UMD. Works on decision-making, social learning, and NeuroAI. Writes about current and next issues in cognition and behavior.

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