this seems to be related: arxiv.org/abs/2511.07568
Who's Who of AI
Riccardo Fusaroli
Why they matter
Researcher with public evidence across AI research.
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Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
What they're sharing
Procedural Knowledge Improves Agentic LLM Workflows arxiv.org
How AI Impacts Skill Formation arxiv.org
Classification errors distort findings in automated speech processing: Examples and solutions from child-development research - PubMed pubmed.ncbi.nlm.nih.gov
Articles & links
interesting paper on how the use of AI assistance in coding affects productivity and skill formation (not a rosy picture): arxiv.org/abs/2601.20245
Scale up behavioral measurement w ML& you get extra noise & bias. "Classification errors distort findings in automated speech processing," by @lucasgautheron.bsky.social, Kidd, Malko, @marvinlavechin.bsky.social & @acristia.bsky.social shows how to deal w that: pubmed.ncbi.nlm…
Their own posts
Recent commentary
w misgivings, I've been using LLMs to reproduce the manual data extraction from my published meta-analyses. Against my worst temptations (and fears) the pipeline ended up being the opposite of vibe coding. 1/
through the holidays, I decided I'd try to put a llm onto a side project I never found the time for. Initial plan & checks, every few days I'd check in, briefly review (me&a2nd llm), give feedback & push it forward. It did a lot of work, but what an unbelievable amount of technical debt 😱 1/
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