Humans have always generated knowledge and judged it. That's changing fast.
AI Epistemic Risks: Emerging Mechanisms & Evidence
<p>Advances in artificial intelligence pose risks to humanity's collective capacity to form accurate beliefs, reason well, and maintain a healthy information en
Planetary Sapience & Planetary Stupidity: a Bildungsroman for the Baby Noosphere | Antikythera
That is, the faculty of recollection and foresight? Until recently, I would argue, our planet was amnesiac. That is, no part of it was reflectively aware of the place of the present relative to the established past nor the expected future. But then peculiar animals emerged, capable—no matter how imperfectly—of cooperation, abstraction and invention. In the last blink of geologic time, through the collaboration of these animals with their increasingly cunning artifacts, this state of planetary amnesia has faltering begun being cured. That is, through our artifacts, our planet is becoming aware of its own unfolding biography. In our fallible attempts to model our world—alongside our growing legion of sensors—The Earth system has developed a way of recollecting its deepest past and tracking the changing complexities of its present so as to forecast its furthest future.
AI Slop and the End of Knowledge
As an early fan of the internet, I was amazed that all the knowledge of the world was becoming available to everyone, everywhere, all the time. But things have changed.
Are We Betting on the Wrong Kind of Intelligence?
AI optimizes for the world as it was. Rewilding could be what prepares us for the world as it is.
Learning how to behave: cognitive learning processes account for asymmetries in adaptation to social norms
Changes to social settings caused by migration, cultural change or pandemics force us to adapt to new social norms. Social norms provide groups of individuals with behavioural prescriptions and therefore can be inferred by observing their behaviour. This work aims to examine how cognitive learning processes affect adaptation and learning of new social norms. Using a multiplayer game, I found that participants initially complied with various social norms exhibited by the behaviour of bot-players. After gaining experience with one norm, adaptation to a new norm was observed in all cases but one, where an active-harm norm was resistant to adaptation. Using computational learning models, I found that active behaviours were learned faster than omissions, and harmful behaviours were more readily attributed to all group members than beneficial behaviours. These results provide a cognitive foundation for learning and adaptation to descriptive norms and can inform future investigations of group-level learning and cross-cultural adaptation.
Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
People increasingly consult generative artificial intelligence (AI) while reasoning. As AI becomes embedded in daily thought, what becomes of human judgment? We
Abeba Birhane on Twitter / X
a classic case of “the human mind is afforded less complexity than is owed, and the computer is afforded more wisdom than is due.” Baria and Cross (2021)that "vibe" is at the core of what makes us human. it defies formalization and datafication https://t.co/AXELAqlYcq— Abeba Birhane (@Abebab) February 17, 2024
All Possible Views About Humanity's Future Are Wild
If humans will eventually spread out across the galaxy, then we are among the earliest living beings, with remarkable opportunities to shape the future
Jon Barron on Twitter / X
This idea that intelligence is solely a function of what you've observed since birth and not also a function of the 500 million years of evolution that preceded your birth is surprisingly sticky despite being demonstrably untrue. https://t.co/m2z5cN8Byb— Jon Barron (@jon_barron) January 28, 2026
Iterated learning: Intergenerational knowledge transmission reveals inductive biases
Cultural transmission of information plays a central role in shaping human knowledge. Some of the most complex knowledge that people acquire, such as languages or cultural norms, can only be learned from other people, who themselves learned from previous generations. The prevalence of this process of “iterated learning” as a mode of cultural transmission raises the question of how it affects the information being transmitted. Analyses of iterated learning utilizing the assumption that the learners are Bayesian agents predict that this process should converge to an equilibrium that reflects the inductive biases of the learners. An experiment in iterated function learning with human participants confirmed this prediction, providing insight into the consequences of intergenerational knowledge transmission and a method for discovering the inductive biases that guide human inferences.
Predictive processing frameworks for perception can explain recent drone sightings in the United States
We draw on the predictive processing theory of perception to explain why healthy, intelligent, honest, and psychologically normal people might easily misperceive lights in the sky as threatening or extraordinary objects, especially in the context of WEIRD (western, educated, industrial, rich, and democratic) societies. We argue that the uniquely sparse properties of skyborne and celestial stimuli make it difficult for an observer to update prior beliefs, which can be easily fit to observed lights. Moreover, we hypothesize that humans have likely evolved to perceive the sky and its perceived contents as deeply meaningful. Finally, we briefly discuss the possible role of generalized distrust in scientific institutions and ultimately argue for the importance of astronomy education for producing a society with prior beliefs that support veridical perception.
Social learning preserves both useful and useless theories by canalizing learners’ exploration
In many domains, learning from others is crucial for leveraging cumulative cultural knowledge, which encapsulates the efforts of successive generations of innovators. However, anecdotal and experimental evidence suggests that reliance on social information can reduce the exploration of the problem space. Here, we experimentally investigate the extent to which cultural transmission fosters the persistence of arbitrary solutions in a context where participants are incentivized to improve a physical system across multiple trials. Participants were exposed to various theories about the system, ranging from accurate to misleading. Our findings indicate that even under conditions conducive to exploration, the transmission of cultural knowledge canalizes learners’ focus, limiting their consideration of alternative solutions. This effect was observed in both the theories produced and the solutions attempted by participants, irrespective of the accuracy of the provided theories. These results challenge the notion that arbitrary solutions persist only when they are efficient or intuitive and underscore the significant role of cultural transmission in shaping human knowledge and technologies.
Technology is a Siren Song
Orangutan thinking This started with a question I asked myself: How do our minds change when we can receive a plausible, informed, and convincing answe...
The mistake we all make... and the simple experiment that reveals it
Your answer reveals how you see the world – and the common error that hampers our decision making. In an extract from his new book, psychologist Richard Nisbett reveals the ‘mindware’ to help us think smarter
Ever thought we acquire generalizable knowledge by discarding details and compressing our experiences? In a new BBS paper, @sabinasloman.bsky.social and I argue otherwise, proposing a novel way of studying human learning inspired by double descent in ML. Disagree? Propose a commentary by May 15 :)
