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#cognitivescience

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Discover the truth behind the popular myth that we use only 10% of our brain. Explore how much of our brain is actually active, debunk common misconceptions, and reveal fascinating facts about brain function and cognitive potential.
#BrainFacts #Neuroscience #BrainScience #CognitiveScience #MythVsReality
scientificworldinfo.com/2025/1

Blogger · How Much Brain Do We Use? Myth vs Reality — Neuroscience FactsVon The Scientific World

Long #HiveMind request for pointers to literature on when loss minimisation is inappropriate for predictive modelling because of radical nonstationarity - PLEASE BOOST FOR REACH

Modeling Others' Minds as Code

arxiv.org/abs/2510.01272

arXiv logo
arXiv.orgModeling Others' Minds as CodeAccurate prediction of human behavior is essential for robust and safe human-AI collaboration. However, existing approaches for modeling people are often data-hungry and brittle because they either make unrealistic assumptions about rationality or are too computationally demanding to adapt rapidly. Our key insight is that many everyday social interactions may follow predictable patterns; efficient "scripts" that minimize cognitive load for actors and observers, e.g., "wait for the green light, then go." We propose modeling these routines as behavioral programs instantiated in computer code rather than policies conditioned on beliefs and desires. We introduce ROTE, a novel algorithm that leverages both large language models (LLMs) for synthesizing a hypothesis space of behavioral programs, and probabilistic inference for reasoning about uncertainty over that space. We test ROTE in a suite of gridworld tasks and a large-scale embodied household simulator. ROTE predicts human and AI behaviors from sparse observations, outperforming competitive baselines -- including behavior cloning and LLM-based methods -- by as much as 50% in terms of in-sample accuracy and out-of-sample generalization. By treating action understanding as a program synthesis problem, ROTE opens a path for AI systems to efficiently and effectively predict human behavior in the real-world.
#HackerNews#Modeling#Minds

🕯️Fresh from the oven, a new book I co-edited with my colleagues and friends Jordi Vallverdú and Vicent Costa.

“There is no such thing as a natural death: nothing that happens to a man is ever natural, since his presence calls the world into question. All men must die: but for every man his death is an accident and, even if he knows it and consents to it, an unjustifiable violation.”
— Simone de Beauvoir, A Very Easy Death (1965)

In the digital age, death feels increasingly strange to us — as if were moving farther away, abstracted, outsourced.

"SecondDeath. Experiences of Death Across Technologies" explores how artificial intelligence, robotics, and digital systems are reshaping our experience of mortality.

In a world mediated by algorithms and cybernetic agents, death is no longer only biological. It becomes symbolic, synthetic, sometimes programmable.

The question is no longer if machines can die, but what their death reveals about our own: about grief, identity, continuity, and the boundaries of consciousness.

This volume gathers philosophical, cultural, scientific, ethical, psychological, and technological perspectives to rethink one of humanity’s most ancient enigmas — through the lens of our most recent inventions.

To confront death is, once again, to rethink life, our reality itself.

link.springer.com/book/9783031

SpringerLinkSecondDeathThis book offers new philosophical and cognitive perspectives to answer questions related to the meaning of death in the technological era.
#SecondDeath#Philosophy#AI

Explore the latest in brain science with *Cognitive Neuroscience: The Biology of the Mind* (6th Ed.) by Michael Gazzaniga, featuring insights from Elizabeth Phelps & Dani Bassett. A must-have eBook for undergrads! ISBN: 978-1324100003 #Neuroscience #CognitiveScience  textbooks.dad/product/cognitiv
textbooks.dad/product/cognitiv

Most people rarely use AI, and dark personality traits predict who uses it more

"Drawing from more than 14 million website visits, researchers found that AI-related browsing made up less than one percent of online activity for most people."

psypost.org/most-people-rarely

PsyPost Psychology News · Most people rarely use AI, and dark personality traits predict who uses it moreVon Eric W. Dolan
#tech#technology#ai

A new paper published in Frontiers in Artificial Intelligence, which I’ve had the honour to co-author with Joan Farnós (Barcelona Supercomputing Center – BSC) and Vicent Costa (IIIA–CSIC): "Ethical prompting: toward strategies for rapid and inclusive assistance in dual-use AI systems."

The paper explores how assistive and monitoring AI systems, often created to support people with disabilities, can become dual-use technologies when adapted for defense or emergency contexts. We introduce the idea of ethical prompting as a way to anticipate and mitigate these transitions, ensuring rapid and inclusive assistance without losing sight of responsibility.

frontiersin.org/journals/artif

FrontiersFrontiers | Ethical prompting: toward strategies for rapid and inclusive assistance in dual-use AI systemsMonitoring technologies initially developed for individuals with disabilities carry inherent dual-use risks, especially evident in conflict or emergency scen...
#AI#Ethics#DualUse