Some findings from our national survey of U.S. population attitudes toward AI.
First, feelings about AI are actually very similar across political parties (and many other demographics). They vary most by people's experience with AI tools.
Explore the data: futurerealities.org/poll/2026/
๐งต
Do animals remember after months of hibernation? In new research from #BiologyLetters, Columbian ground squirrels retained spatial memories after nine months of hibernation, outperforming inexperienced squirrels by 41โ98% in their first maze trial after waking doi.org/10.1098/rsbl...#Cognition
Congratulations to this yearโs Packard Fellows! Including Hopkinsโs own Shari Liu. Such an important program. @packardfdn.bsky.social
www.packard.org/insights/new...
๐จ New paper ๐จ
Are your participants or annotators using AI to complete your tasks?
We conducted the first study directly observing AI assistance across 700K+ @joinprolific.bsky.social submissions.
We found rare, concentrated AI use, but gaps in safeguards.
arxiv.org/abs/2610.09279
2 yrs ago, I briefly laid out a new theory of how motivation works (AGH).
Here, I expand on the problems AGH was trying to solve, why they are hard to solve, what my solution looks like, and how this should change our understanding of thoughts & actions.
osf.io/preprints/ps...
๐งตA few highlights:
What is the nature of universal representations in AI models, and what determines whether they emerge?
Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results.
arxiv.org/abs/2605.13675
๐งต
Cambridge University announces a new Cambridge Mind and Brain Institute focused on understanding and improving brain health across our lifespan, from early childhood through to old age.
Find out more ๐ https://bit.ly/4hpgZsl@mrccbu.bsky.social
Join us at @mpicbs.bsky.social as a fully funded 3-year PostDoc (m/f/d). Your project will focus on how cognitive maps shape learning, memory, and decision-making. Excellent infrastructure with a leading scientific network. Apply by September 30: postdocprogram.mpg.de/node/58460
What does the *empirical evidence* tell us about work and wellbeing? And what does that imply for AI futures?
arxiv.org/abs/2609.11019
We reviewed studies of populations across the world, including the unemployed, retirees, lottery winners, and financially dependent spouses. Major takeaways:
very cool! Once their world extends beyond primary colors & shapes in a matrix to one w/ realistic scenes and situations incl social dynamics, will be esp cool to see how they extend meanings in new contexts, and ultimately develop a full range of constructions, almost as if they don't need UG
We uncovered spontaneous evolution of new languages in populations of AI agents. This creates extraordinary scientific opportunities but also safety risks. New blog post with about how we created a platform for studying this safely. www.schmidtsciences.org/glossogen/
UCSD Cognitive Science Department is hiring an Assistant Professor incorporating novel computational approaches in the study of biological and/or artificial intelligence.
I have had the privilege of working in this department for 10 years and the intellectual environment really is unique. 1/3
1/ How do we sustain mental continuity in the face of interruption? @xianl-explorer.bsky.social found that, while people listen to a story, posterior medial cortex expresses a slowly evolving "background" representation of the story's context, which survived through silence and interfering tasks.
4/ This posterior-medial process resembles "deprioritized" or "rotated" working-memory traces that have been reported in sensory cortex and PFC, but now we see it in default-network regions which accumulate high-level context over minutes. @bradpostle.bsky.social
1/ How do we sustain mental continuity in the face of interruption? @xianl-explorer.bsky.social found that, while people listen to a story, posterior medial cortex expresses a slowly evolving "background" representation of the story's context, which survived through silence and interfering tasks.
2/ One known mechanism for continuity is hippocampal memory: we can snapshot mental context and later restore it. But Xian found a cortical process: a background pattern that gradually drifted over narrative time, and which persisted through interruptions in a transformed format.
3/ The persistence of this background pattern predicted how reliably posterior medial cortex re-synced to the story after the interruption, and (along with hippocampal activity) it predicted how well listeners later recalled the story.
Meet Zeus. โก Hopkinsโ new recycling machine turns packaging foam into dense plastic blocks that become park benches and picture frames, keeping it out of the landfill. โป๏ธ
hub.jhu.edu/2026/09/11/f...
๐ *extremely* excited to share our human single neuron + movie dataset is out in #ScientificData!
๐ Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients
๐https://www.nature.com/articles/s41597-026-07955-0
1st public dataset from @humansingleneuron.bsky.social!๐งต
The UK AI pushback: 42% of people are deliberately limiting their AI use and 70% of people think it would be difficult or impossible to avoid being exposed to AI even if they wanted to. New report from us at @kings-dfi.bsky.social : www.kcl.ac.uk/news/over-40...
Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com:
www.nature.com/articles/s41...
We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.
If our experiences unfold like a stream over time, how would this stream unfold in other animal species?
Together with @birchlse.bsky.social and @anilseth.bsky.social,
a review of temporal illusions and a path for temporal phenomenology in animals! a ๐งต/n
www.cell.com/trends/cogni...
Itโs a bird, itโs a plane, itโsโฆanother creative & impactful project from the rocket-fueled @talboger.bsky.social, applying the wickedly cool โvisual anagramsโ method to animacy! Read the paper in @elife.bsky.social today, then attend his presentation at @socphilpsych.bsky.social later this week. ๐ฆโ๏ธ
Do we perceive animacy itself, beyond its lower-level visual correlates?
In @elife.bsky.social, @chazfirestone.bsky.social and I leverage โvisual anagramsโ โ images whose interpretations change with orientation โ to suggest the answer is: yes!
elifesciences.org/reviewed-pre...
Some findings from our national survey of U.S. population attitudes toward AI.
First, feelings about AI are actually very similar across political parties (and many other demographics). They vary most by people's experience with AI tools.
Explore the data: futurerealities.org/poll/2026/
๐งต
Some findings from our national survey of U.S. population attitudes toward AI.
First, feelings about AI are actually very similar across political parties (and many other demographics). They vary most by people's experience with AI tools.
Explore the data: futurerealities.org/poll/2026/
๐งต
Fourth, Americans are more likely to expect AI to widen inequality than narrow it (52% vs 18%).
And when asked "who gains the most power?", 44% name tech companies, 20% say AI systems themselves, and 8% say ordinary people.
The full results, questionnaire, and downloadable data are on the poll site. There's also a data-explorer if you want to look at demographic splits. And there's a quiz if you like
quizzes.
futurerealities.org/poll/2026/
Some findings from our national survey of U.S. population attitudes toward AI.
First, feelings about AI are actually very similar across political parties (and many other demographics). They vary most by people's experience with AI tools.
Explore the data: futurerealities.org/poll/2026/
๐งต
There is also bipartisan support for AI-related unemployment benefits and a "digital dividend", which is roughly a UBI funded by taxes on tech companies. @imarinescu.bsky.social
Third, trust in AI varies greatly, both across people and across tasks, and this is somewhat independent of the population's broad support for regulation.
Some findings from our national survey of U.S. population attitudes toward AI.
First, feelings about AI are actually very similar across political parties (and many other demographics). They vary most by people's experience with AI tools.
Explore the data: futurerealities.org/poll/2026/
๐งต
๐ข We are recruiting a full-time lab manager/RA joint between our lab and @marinabedny.bsky.social 's lab. A great opportunity for a recent grad interested in gaining more research experience in cognitive neuroscience.
Details and apply here: hiring.jhu.edu/careers/job/...
Task diversity is supposedly key to generalization in RL. But what does it do to continual RL, where agents face one new task distribution after another?
We find that past a point, more diversity actually inhibits continual reinforcement learning ๐งต
Excited to be teaching a new undergraduate course on Models of Language and Conversation this term!
Check it out here: context-lab.com/llm-course/
I've added lots of fun interactive demos of chatbots and NLP techniques that let students dig into the approaches.
This paper had a pretty shocking headline result (40% of voxels!), so I dug into it, and I think it is wrong. Essentially: they compare two noisy measures and find that about 40% of voxels have different sign between the two. I think this is just noise!
Would love to hear expert views on this paper. It appears to show that the operationalization of brain activity the field has relied on for 3 decadesโthe BOLD responseโis not actually a sensible measure of brain activity.
www.nature.com/articles/s41...
I am very excited to announce that over the holidays, my first ever paper (w/ @samiyousif.bsky.social) was published in Cognitive Science! Here, we describe a new illusion of *number*: The Crowd Size Illusion!
onlinelibrary.wiley.com/doi/10.1111/...
I am excited to announce my first ever paper (w/ @samiyousif.bsky.social ) about a new illusion of *number*: the โCrowd Size Illusionโ. osf.io/preprints/ps...
What if we could tell you how well youโll remember your next visit to your local coffee shop? โ๏ธ
In our new Nature Human Behaviour paper, we show that the ๐พ๐๐ฎ๐น๐ถ๐๐ ๐ผ๐ณ ๐ฎ ๐๐ฝ๐ฎ๐๐ถ๐ฎ๐น ๐ฟ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป can be measured with neuroimaging โ and ๐๐ต๐ฎ๐ ๐๐ฐ๐ผ๐ฟ๐ฒ ๐ฝ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ ๐ต๐ผ๐ ๐๐ฒ๐น๐น ๐ป๐ฒ๐ ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ๐ ๐๐ถ๐น๐น ๐๐๐ถ๐ฐ๐ธ.
New study by @xrmasiso.bsky.social et al shows that spatial contexts with more reliable brain representations better support memory for future experiences within them, revealing how stable neural maps help the brain organize and recall life events.
Excited to share our new paper w/ @cibaker.bsky.social in @natcomms.nature.com linking active vision & memory!
We provide evidence that gaze reinstatement & neural reactivation are deeply related phenomena that jointly reflect the experiences constructed during recall. doi.org/10.1038/s414...
๐งต1/9
Delighted to share our work on replay and successor representations! We find replay during very short task pauses in human visual cortex that is linked to learning SRs & happens when learning is implicit. Study led by @lnnrtwttkhn.bsky.social#compneuro#neuroskyencewww.pnas.org/doi/10.1073/...
New paper with @mujianing.bsky.social & @prestonlab.bsky.social! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.
Excited to share my new lab website!
The Learning & Behavior Change Lab will launch at Rice in July 2026. Iโll be recruiting over the next year! @ricesocsci.bsky.socialwww.sinclairlab-rice.com