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Robin T.

@drrobinthomas.bsky.social

Professor, mathematical psychologist, guitarist and singer

615 Posts531 Follower346 Folgt
Stand Up for Science!@standupforscience.net · 2d ago

The NSF has a sneaky proposal that'll implement Vought's OMB Proposal policies ahead of time such as removing requirements tied to statutory civil rights obligations and applying international collaboration restrictions.

Whitney Gegg-Harrison (she/they)@writerethink.bsky.social · 2d ago

This absolutely comports with the reflections my students (in a class about how “AI” is affecting writing) wrote and the discussions we had following the “friction-maxxing” assignment I gave them (spend a day seeking rather than avoiding friction, write by hand about the experience)

gamera obscura@ohrobin.bsky.social · 2d ago

Much of what we call “convenience” is just the elimination of contact. Why ask when you can Google, why go somewhere to meet people when you can swipe, why call when you can click? The friction we’re engineering out of life is also where an enormous amount of life happens. What are we without it?

Dr Dave Hitchcock@davehitchcock.bsky.social · 3d ago

I'm writing a thing about history education and "AI". Myself and another came up with some 'considerations' and I was wondering what people make of them in their current form. All critique appreciated, I'm trying to get to durable and defensible positions.

"Considerations for Large Language Models and the Teaching of History 1. Education is a process, not an event. And a history education is an active process through which we seek to understand our pasts and presents. We encounter history experientially through our senses and by using our memories, and we learn to do history iteratively, through the process of producing it ourselves in various formats. 2. Generative AI models cannot ‘replace’ historical thinking so much as generate a simulacrum of thought. Their use seems to offer shortcuts to a particular outcome. These shortcuts risk the acquisition of historical skills, because they subvert or replace the core processes of ‘doing history’. 3. LLMs potentially save users time by undertaking tasks like tabulating large datasets, surfacing patterns, and computing information, so long as results are carefully checked. But such tasks are to historical research like calculations are to accounting: they might support the practice but cannot inspire critical insight or reflective thought, which are the primary aims of historical scholarship. 4. Therefore, classrooms should first train history students to locate, identify, and describe sources of information and only then to learn the skills to reflect on the selection, organisation, and mining of datasets used by LLMs. ""5. History teaching should privilege the value of quoting accurately, citing work correctly, paraphrasing sources honestly, and marshalling arguments carefully and specifically. LLM prompt responses do not yet reliably do these things, and may never do so. 6. Unless history students can assess the selection, organisation, and algorithms that power a given LLM, they should treat its outputs as sources of uncertain provenance. 7. Use of LLMs in a history classroom should always be subject to ethical and critical scrutiny, just as with any other source of information. 8. Most widely available large-language models are commercial systems, and administrator control of their parameters, tone, capabilities, acceptable answers, and programming resides with commercial firms. Their use entails significant energy expenditure and environmental degradation. These facts place significant limits on their use and on our ability to undertake the required ethical scrutiny."
Olivia Guest · Ολίβια Γκεστ@olivia.science · 9mo ago

We can't really say this enough... > Anastasia Berg [at UCL Irvine] said that new research — and what she's hearing directly from colleagues across various industries — shows that employees who heavily rely on AI are losing core skills at a startling rate. www.businessinsider.com/ai-tools-are...

AI tools are 'deskilling' workers, philosophy professor says

A philosophy professor warns that AI reliance is weakening workers' judgment, creativity, and problem-solving.

businessinsider.com

Carl T. Bergstrom@carlbergstrom.com · 5d ago

1. Recently I’ve received lots of emails from people I don’t know personally, asking for my feedback on their books or papers. They explain the connection between my work and theirs and ask me to take a look. The catch, of course, is that the emails are transparently, obviously, written by AI.

Kevin Zollman@kevinzollman.com · last wk.

Academia was so much better before Woke. Sure, David Hume was never able to secure an academic job because he might have been an atheist. But at least no one made him use the singular "they"

Headquarters@headquartersnews.bsky.social · last wk.

New reporting reveals Ohio Republican Gov. candidate Vivek Ramaswamy hired his mother to manipulate clinical trial data for an Alzheimer's drug he owned the rights to. This scheme boosted Ramaswamy's company stock price and generated a $1.4 B IPO, where he then cashed out before the stock tanked.

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Ben Williamson@benpatrickwill.bsky.social · last wk.

Turnitin has long used its end user licence agreement to use students' work for product devt. Now it's trying to update it to use essays for AI devt too! Prime example of academic content assetization - turning student IP into a source of value codeactsineducation.wordpress.com/2026/04/29/a...

AI and the amplification of academic content assetization

Photo by Viktor Forgacs on Unsplash A new AI-driven digital learning platform launched by Arizona State University has set off alarm bells among academics for its exploitation of scholarly work. AS…

codeactsineducation.wordpress.com

Ian Linkletter@linkletter.org · last wk.

I found them! They are linked on Berkeley's website here classrooms.berkeley.edu/news/clarifi... h/t @other95.bsky.social Direct link to Turnitin's explanations of the proposed changes: view-su2.highspot.com/viewer/40018...

Aki Vehtari@avehtari.bsky.social · last wk.

All four books I've co-authored are freely available online for non-commercial use: - Bayesian Workflow at avehtari.github.io/Bayesian-Wor... Links to other three books are in the quoted post 👇 (too many books to fit in one post!)

Bayesian Workflow book: Website – Bayesian Workflow book

Website for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.

avehtari.github.io

Aki Vehtari@avehtari.bsky.social · 2y ago

All three books I've co-authored are freely available online for non-commercial use: - #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/ - #Regression and Other Stories at avehtari.github.io/ROS-Examples/ - Active Statistics at avehtari.github.io/ActiveStatis...

The cover of Bayesian Data Analysis book