dietram a. scheufele

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dietram a. scheufele

dietram a. scheufele

@scheufele

at @morgridge_inst and @uw_lsc, i research and teach #scicomm, #openscience, #ai, #misinfo, and #polarization. https://t.co/KvoU3G1wZG

madison, wi (usa) Katılım Ekim 2007
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dietram a. scheufele
dietram a. scheufele@scheufele·
The fact that #AI is doing more and more of the researching, writing, and reading of fiction and non-fiction books for us might spell serious trouble for the medium … at least for scholarly work. nytimes.com/2026/03/19/boo…
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Jay Van Bavel, PhD
Jay Van Bavel, PhD@jayvanbavel·
People form beliefs not only as individual agents, but as members of social groups. A new paper finds that children (4-6 years old) who belonged to a group were more convinced by evidence that supported their ingroup’s belief (and were less convinced by evidence that opposed their ingroup): nature.com/articles/s4146… This is exciting evidence that the Identity-based Model of Belief extends to young kid and novel groups! All kinds of identities shape our beliefs about the world. sciencedirect.com/science/articl…
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dietram a. scheufele
dietram a. scheufele@scheufele·
"Many of these bills provided agencies with supplemental appropriations, some of which could be directed toward research and development." Nimble universities that are open to change fare better in modern funding ecosystems: ncses.nsf.gov/pubs/nsf26310 #highered #scipol
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Jonathan Haidt
Jonathan Haidt@JonHaidt·
As TikTok settles one case in LA, never forget that it has harmed millions of kids in many ways; addiction is just one. And they know it. And we know they know it because we have so many damning quotes from their employees. Read them here: afterbabel.com/p/industrial-s…
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Demis Hassabis
Demis Hassabis@demishassabis·
AlphaGenome is our latest & most advanced genomics model published in @Nature today including making the model & weights available to academic researchers. Can’t wait to see what the research community will do with it. Congrats to the team on our newest front cover! #AI4Science
Google DeepMind@GoogleDeepMind

Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬 Find out more in @Naturegoo.gle/4bXlV6y

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Jay Van Bavel, PhD
Jay Van Bavel, PhD@jayvanbavel·
Scientists who use AI have published three times more papers, received five times more citations, and reach leadership roles faster than their AI-free peers. But science as a whole is paying the price, the study suggests. Not only is AI-driven work prone to circling the same crowded problems, but it also leads to a less interconnected scientific literature, with fewer studies engaging with and building on one another. It's a classic social dilemma: what's good for individuals is bad for the collective. science.org/content/articl…
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Alex Cui
Alex Cui@alexcdot·
Okay so, we just found that over 50 papers published at @Neurips 2025 have AI hallucinations I don't think people realize how bad the slop is right now It's not just that researchers from @GoogleDeepMind, @Meta, @MIT, @Cambridge_Uni are using AI - they allowed LLMs to generate hallucinations in their papers and didn't notice at all. It's insane that these made it through peer review👇
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dietram a. scheufele
dietram a. scheufele@scheufele·
"[I]ndustry ties [among authors, reviewers, and editors] are associated with a topical focus away from impacts of platform-scale features." Our evidence base for effects of #socialmedia is confounded by undisclosed #COIs. MUST-read by Bak-Coleman et al. arxiv.org/pdf/2601.11507
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Matthew C. Nisbet
Matthew C. Nisbet@mcnisbet·
Don’t be distracted by large N size: It’s difficult to reach any conclusion based on a single survey item — esp. on topic as multidimensional as attitudes/beliefs about emerging tech / AI. See Pew multi-item trends increasing reservations across years + strong proportion DK.
David Shor@davidshor

When you ask Americans whether they are optimistic or pessimistic about AI, optimism beats pessimism by ~5 points. The primary fault lines are age, gender, and race - young people, men, and racial minorities are the most optimistic about AI. N=30,900 , fielded 12/1 to 12/10

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dietram a. scheufele
dietram a. scheufele@scheufele·
"Nvidia is following a playbook recently used by Microsoft and Google to absorb talent and IP while attempting to steer clear of the regulatory microscope." Responsible #AI needs transparency and cooperation, but tech has zero incentive to play nice. theinformation.com/articles/nvidi…
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dietram a. scheufele
dietram a. scheufele@scheufele·
“If we want a robust society, we need more robust dialogue, and that must include the right to insult or to offend.” Not new, but more timely than ever … youtu.be/xUezfuy8Qpc?si…
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dietram a. scheufele@scheufele·
There are the "big" awards that pad CVs and annual reports, and then there are recognitions like this that remind us that teaching is a privilege ... in spite of the current state of @UWMadison and U.S. #highered. #instructors" target="_blank" rel="nofollow noopener">housing.wisc.edu/undergraduate/… #teaching #scicomm #LSC251
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