Michelle Greene

Michelle Greene

@mgreenephd.bsky.social

Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️‍🌈

3.7K followers761 following450 posts

Michelle Greene reposted

What the hell is wrong with these weirdos? #Palantir #AIBros

“Palantir cofounder and CEO Alex Karp states ‘AI will undermine the influence of highly educated, often female voters and give it to working class men. We have feminine energy running our cities and our courts,’ he complained.”

Michelle Greene reposted

NEW: In March the White House released an FY27 budget request that zeroed out the National Science Foundation's directorate of Social, Behavioral and Economic Sciences (SBE). For months it was unclear what would happen. Now, with FY26 over, the damage to SBE is coming to light. My reporting:

science.org‘Complete devastation’: How NSF gutted its social sciences researchAgency body that funds sociology, linguistics, and archaeology studies in U.S. gave 90% fewer new grants this year

Experiencing this at all stages of the publication pipeline: * As an editor who asks 25+ people before securing two peer reviewers. * As a reviewer fielding 7-10 new requests per week. * An an author who has waited ~4 months for reviewers. AI is DDOS on actual scientific progress.

Jaclyn A. Siegel, PhD@jacasiegel.bsky.social

With more manuscripts entering the system: 1) It is increasingly challenging to find willing reviewers, 2) The quality of the reviews is declining 3) People are looking for shortcuts to get more of these reviews done, as we are all receiving more review requests than ever

🚨New paper alert! 🚨 The visual system tunes itself to the statistics of its input. How do individual experiences differently tune vision? In this work, @bjbalas.bsky.social and I examined how one individual difference—height—changes the visual diet and how this affects perception. 1/

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Critically, height predicted observers' performance in a rapid categorization task: shorter observers performed better for faces in the upper visual field, while taller observers were better in the lower, consistent with their lived experience of faces. 5/

🚨New paper alert! 🚨 The visual system tunes itself to the statistics of its input. How do individual experiences differently tune vision? In this work, @bjbalas.bsky.social and I examined how one individual difference—height—changes the visual diet and how this affects perception. 1/

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When we consider all faces and hands (fixated and not) in one's view, we see that taller individuals see faces lower in the visual field, and hands higher. This is consistent with shorter folks looking up at faces. 3/

🚨New paper alert! 🚨 The visual system tunes itself to the statistics of its input. How do individual experiences differently tune vision? In this work, @bjbalas.bsky.social and I examined how one individual difference—height—changes the visual diet and how this affects perception. 1/

In this picture, two observers of different heights are walking in the same place. When creating the Visual Experience Dataset, I was often struck by how different one's experience of the same place could be. 2/

I cannot. Can we really not be bothered to read and write?

Ran Blekhman@blekhman.bsky.social

This is the future of scientific papers. Instead of a PDF, the paper is an AI agent that you can talk to, ask questions, run analyses. No more digging through supplements - just ask the paper directly: "what p-value cutoff was used in Fig 3B? Re-run at 0.01." www.nature.com/articles/s41...

This. 100% this. Both speaking truth to nonsense, and the inevitable BS stream that comes from it.

Timnit Gebru@timnitgebru.blacksky.app

The last few days is like a DDOS attack from these companies 🙄 I just finished drafting an op-ed and then see another OMG Machine god is going to kill everyone 😱 post Ok walk me through the step by step action this super intelligent chatbot takes to render everyone us extinct?

Michelle Greene reposted

Alright folks, if you're in the States make plans to vote in person now, because the fascists are at it again.

Brad Takei@bradtakei.bsky.social

Millions of Americans may not receive their mail ballots in time, or at all, because of a secretive, court-defying system being rushed into place by the Trump administration. Two months before the midterms. This isn't by chance. It's a blatant attempt to steal an election. Share this everywhere.

Michelle Greene reposted

thanks Daniel for this v useful guide.

Daniel Lakens@lakens.bsky.social

New Blog post: Which Data Repository Should you Use? In light of OSF closing down, I compare Zenodo, Dataverse, ResearchBox, PsychArchive, and local repositories on six important dimensions. If you want to know which to pick: It depends! daniellakens.blogspot.com/2026/08/whic...

So excited to read this one!

Timnit Gebru@timnitgebru.blacksky.app

🔇 🔇 🔇 My book, Deep Unlearning, is now available for preorders! I don't know how people write so many books because this one took a lot out of me. It turns out, I had a lot to say 😂, with editors cutting out 50k of my words 🫣 ✴️ You can now preorder it at www.simonandschuster.com/books/Deep-U....

Michelle Greene reposted

I'm going back to in-class exams this semester, which are harder to schedule, less intellectually rigorous, slower to grade, harder to secure, more prone to error, harder to provide disability acommodations for, and use up a lot more paper than online exams. AI makes everything worse.

Got an absurd book review request: 16 chapters, 121k words, 15-day turnaround. For $25 in book credits from the publisher. Seriously? It would take 8 hours for a first read. Whole review, if carefully considered, twice that. Sorry, my time is worth more than $1.56/hr.

Michelle Greene reposted

You gotta hand it to OpenAI, billing this as a *partnership* between OpenAI & Hugging Face when what actually happened was Hugging Face finding out that OpenAI was using a bunch of bots to exploit security vulnerabilities. Talk about good marketing or whatever you want to call it, by OpenAI.

Michelle Greene reposted

WhY DoN't MoRe YouTh PrOteSt?!?!?

Mother Jones@motherjones.com

NEW: Eight protesters who the DOJ accused of having connections to antifa were sentenced to decades in prison over a shooting outside a Texas immigration detention center that left one police officer wounded. Activists who didn’t plan the protest and left when asked still received 50-year terms.

Michelle Greene reposted

I’ve officially resigned as Associate Editor for Frontiers in Systems Neuroscience. It used to be a reputable journal, but became a case study in how forced automation destroys academic integrity. 👇

Michelle Greene reposted

Dear colleagues, PLEASE submit a comment against OMB's proposed rule. Elizabeth wrote great guide on drafting a comment. To submit it, go to www.regulations.gov/search and search for OMB-2026-0034. It will take time & effort to write a good comment, but a worthwhile effort to save our profession.

regulations.govRegulations.gov
elizabethginexi.bsky.social@elizabethginexi.bsky.social

Calling all Scientists! Research Administrators! Deans! Fans of Science! No one is coming to save us. Here is your assignment. I have written a step by step, easy to understand "how-to" document to help you comment on the proposed OMB rule. elizabethginexi.substack.com/p/what-we-ne...

Michelle Greene reposted

You know that adage about when you have a hammer, everything looks like a nail? **#AI is screwdriver.** We have no idea what the screws are, but people in power think it's a hammer, maybe even the whole toolbox. And we're all … screwed.

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Sunday is our busy day! In the morning, Bruce will show some truly excellent work on brain-guided neural networks; Sundari will show how object density and variability affect the time course of scene understanding; and Vivian will show the time course of semantic scene mapping. 4/

I find the late 2000s to be a really interesting time in cognitive neuroscience. Is this because: a. It was a genuinely interesting time (beginnings of decoding, encoding, RSA; methodological fixes). b. I imprinted on grad school era papers, just as people imprint on songs from high school c. ?

Michelle Greene reposted

Meet “ASU Atomic,” a subscription platform that claims to offer customized learning modules for fee-paying users. None of the ASU faculty whose course materials were harvested for the module I generated were aware that their image, lectures, lessons, or other teaching materials are being used.

Michelle Greene reposted

It’s a shame that my students’ generation doesn’t know the joy of getting to the stage of friendship when you’re allowed to flip through your buddy’s music collection and bond over the obscure and/or cringe music you both love.