







Capturing our Attention by @neillevy.bsky.social "we possess sophisticated capacities of epistemic vigilance, which work reasonably well to distinguish reliable from unreliable information, but ... we do not have parallel defences against attentional capture" > tandfonline.com/doi/full/10.1080/00048402.202…
Aug 10, 2026 at 2:15 AM
Not Learning from Others
We study social learning using experiments where two people independently learn relevant information and can share it to make accurate private decisions. Across three experiments, people are substantially less sensitive to information others discover than to equally-relevant information they discovered themselves. This holds when they must learn information from others through discussion; when the experimenter perfectly communicates the information; and even when participants observe others’ information with their own eyes. Our results therefore stem not from a failure to elicit information from others but a systematic tendency to underweight it relative to one’s own information. Our findings illustrate a powerful barrier to social learning that might underlie many documented cases of failure to learn from others.

Almost anything you give sustained attention to will begin to loop on itself and bloom
When people talk about the value of paying attention and slowing down, they often make it sound prudish and monk-like. But we shouldn’t forget how interesting and overpoweringly pleasurable sustained attention can be.

Dec 2020 -- Jelle Bruineberg -- Embodied cognition and the attention crisis
From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking
The web has become a dominant epistemic environment, influencing people's beliefs at a global scale. However, online epistemic environments are increasingly polluted, impairing societies' ability to coordinate effectively in the face of global crises. We argue that centralized platforms are a main source of epistemic pollution, and that healthier environments require redesigning how we collectively govern attention. Inspired by decentralization and open source software movements, we propose Open Source Attention, a socio-technical framework for "freeing" human attention from control by platforms, through a decentralized eco-system for creating, storing and querying stigmergic markers; the digital traces of human attention.

Overcoming information overload with circular attention economies - Cosmik Labs
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
Retraction Note: High replicability of newly discovered social-behavioural findings is achievable
Nature Human Behaviour - Retraction Note: High replicability of newly discovered social-behavioural findings is achievable
Reflective and Impulsive Determinants of Social Behavior - Fritz Strack, Roland Deutsch, 2004
This article describes a 2-systems model that explains social behavior as a joint function of reflective and impulsive processes. In particular, it is assumed t...

Rethinking the cognitive foundations of the attention economy
The attention economy is the economic system in which human attention is the scarce resource. This literature takes a particular passage in Herbert Simon’s seminal Chapter Designing Organization fo...

Sources on social media: Information context collapse and volume of content as predictors of source blindness - George Pearson, 2021
Although social media has become a primary news platform, the effects of social media features on users’ information processing remains under-explored. This stu...

How to be more creative in seconds!
The attention market—and what is wrong with it
Attention is described as a “scarce commodity” that is traded in “a marketplace.” This, it is further claimed, contributes to a “widespread sense of attentional crisis.” But is there really an attention market, and if so, what, if anything, is wrong with it? We defend the claim that there are markets in attention. We provide an account of such attention markets and use that account to address what is morally wrong with them. Our account draws on knowledge of how attention works and what roles it plays in the mind. The attention market trades in an ability to influence our attention – somewhat (though not exactly) like the labor market trades in an ability to influence how we use our capacity for work. Specifically, the commodity it trades in is attentional landscaping potential, viz. the ability to systematically influence patterns of attention by changes to the sensory environment individuals are exposed to. Attention markets thus, we argue, commodify influence over a human capacity that plays a central role in shaping individual experience, agency, and belief formation. This feature of attention markets makes them ethically problematic. As markets in access to external influence, attention markets pose a special threat to individual autonomy and escape the classical liberal defense of free markets. Those who value autonomy should worry about the attention markets that exist today.


Excellent @tgspodcast.bsky.social episode, finding myself pausing every minute to take notes. "What sorts of systems are going to make it through the bottlenecks of the 21st c?“ TLDR collective robustness beats individual optimization Once (if?) funders get this, atproto will see investments
The Optimization Trap: Why Too Much Efficiency Makes Us Fragile with Olivier Hamant
open.spotify.comI'm a cognitive scientist with an interest in epistemic vigilance, and this essay that's been going around gave me pause. I don't think it's straightforward to apply the concept of epistemic vigilance to interactions with LLMs, as this essay does. 🧵/ sbgeoaiphd.github.io/rotating_the_space/posture
Amplifiers of Epistemic Posture
sbgeoaiphd.github.ioHypothesis: the simple act of each of us publicly sharing more what we're paying attention to (reading, watching, ..) would dramatically enhance collective sensemaking. In open source software they say "With enough eyes, all bugs are shallow"- perhaps there is a parallel for open source *attention*?