
Social Sciences and Humanities Librarian, CSU Libraries More active account with edgier stuff: @RobSica
Fort Collins, CO
Joined April 2013
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✨"When we consider the large-scale impact of this technology on public opinion, its most consequential feature is simple: it greatly improves people’s access to accurate, evidence-based information." persuasion.community/p/ai-ca…
Rob Sica (robsica.bsky.social) retweeted
𝐋𝐞𝐬 𝐋𝐋𝐌𝐬 𝐜𝐨𝐦𝐦𝐞 𝐚𝐭𝐨𝐮𝐭𝐬 𝐜𝐨𝐧𝐭𝐫𝐞 𝐥𝐚 𝐩𝐨𝐥𝐚𝐫𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐞𝐭 𝐥𝐚 𝐦𝐞́𝐬𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧
Vous avez toutes et tous en tête les inquiétudes légitimes sur les risques que posent les LLMs.
"[T]he field continues to face significant conceptual and methodological debates... the overall magnitude of the misinformation problem, the causal role of political identity in susceptibility, and the likely real-world efficacy of prominent interventions"annualreviews.org/content/jo…
✨🎯🔪 "I think of evolutionary psychology as the attempt to truly believe, rather than pseudobelieve, that humans are evolved organisms."
everythingisbullshit.blog/p/…
Rob Sica (robsica.bsky.social) retweeted
“The surveys also revealed a persistent divide between experts who saw misinformation as widespread and consequential and those more skeptical, with sharpest disagreement on its behavioral impact and increase over time.” - @Sacha_Altay et al.
journals.sagepub.com/doi/10.…
Rob Sica (robsica.bsky.social) retweeted
How loud are America’s largest data centers?
Despite this being an intensely political issue with a simple empirical answer, no one has systematically studied the problem… until now.
@nic_carter, along with his AI agents, mapped noise from the 25 most massive hyperscalers in America. For 17 of them, no credible complaints of noise were found.
In addition, no data center in the study over 800 meters from the nearest population cluster received any meaningful complaints, suggesting that, while the noise problem is real, it’s also very solvable.
Here, the first ever comprehensive, systematic study of data center noise... and how to fix it 👇
Rob Sica (robsica.bsky.social) retweeted
Progress in AI is set to reshape our understanding of human psychology.
As we learn to design intelligence, our own intelligence is bound to appear less special, and the challenges faced by evolution in designing us will become more intuitive.
optimallyirrational.com/p/wh…
Rob Sica (robsica.bsky.social) retweeted
The attention constraint on AI persuasion is fundamental, as we argued in this chapter preprints.apsanet.org/engage…
Just 0.51% of Claude conversations are about elections or voting; at most 0.01% about who to vote for
Today we're sharing some initial data on how Americans use Claude for politics, based on aggregated conversation data analyzed with differentially private methods. A couple interesting takeaways:
*Almost no one asks AI how they should vote*
About ~5.75% of conversations in the US touch on some kind of political or social issue in a recent one-week period, and less than 0.01% of conversations involve asking how to vote.
*Political conversations have many goals*
These conversations have wide-ranging goals, everything from research and writing assistance to learning, fact-checking, and arguing.
We are continuing to make progress on improving how Claude talks about these topics---steadily increasing our performance on our even-handedness evals and partnering with a range of outside organizations to develop new measures of political bias---and I hope that sharing information about the shape of these conversations will help people outside the company evaluate AI's political bias, accuracy, and other criteria in ecologically valid ways. I'd love to discuss this with people who are interested, as it was a huge priority for me before joining.
This was a big joint effort as part of our work preparing for the midterm elections @AnthropicAI.
Full post is here: anthropic.com/news/2026-us-m…
"We must also come to understand how we can maintain the bases for our self-respect as decision-makers—how we can be epistemically autonomous—in a world in which dependence is pervasive and ineliminable." direct.mit.edu/books/monogra…
"How much of what we believe about GenAI and learning is actually supported by evidence? Experts voiced the whispered secret that most in the field of ed research know: current empirical research on GenAI effects on learning has, overall, poor quality." cehd.umn.edu/AI-expert-conse…
Rob Sica (robsica.bsky.social) retweeted
Restricting AI-assisted writing also protects old advantages: native English, paid editing, well-resourced labs. Teaching is a different matter, and policy should outlast the tools. The essay, itself written with AI, is open for comments: docs.google.com/document/d/1…
Rob Sica (robsica.bsky.social) retweeted
Reminder: kindle version is only 3,00GBP / 3,50EU / 4,00$ mybook.to/technopanic
Rob Sica (robsica.bsky.social) retweeted
With Claude I did a systematic literature review of misinformation prevalence, exposure, and concentration.
There is a companion website that allows you to play with the data and signal me if an estimate is wrong or missing: altay-research.github.io/mis…
"our mechanisms of epistemic vigilance usually work reasonably well" transformernews.ai/p/ai-is-a…
Rob Sica (robsica.bsky.social) retweeted
Many studies of AI and learning ask what people can still do once AI is removed. I believe this is only half the question, and maybe not the most interesting half.
In this short essay, I revisit concepts introduced in a 1991 paper that seem very relevant to how we study AI today.
"Rethinking the problem of misinformation and its solutions"
archive.org/details/altay-20…
"LLMs against polarization and the fragmentation of beliefs: a promise to be taken seriously"
antoinemariesci.substack.com…
"AI Disinformation: Apocalypse or Overreaction?"
youtube.com/watch?v=5_RmiRun…
Rob Sica (robsica.bsky.social) retweeted
Adam Mastroianni (former grad student at Harvard) explains the cognitive fallacies behind opposition to AI data centers, with suggestions on better ways to limit the pernicious aspects of AI. nytimes.com/2026/07/25/opini…
Rob Sica (robsica.bsky.social) retweeted
My students sometimes ask why they should memorise things in the age of Google and LLMs. But internalised facts are your bullshit filters and your raw material for creative association. Facts outside your head are inert.





















