M.J. Crockett

@mjcrockett.bsky.social

Professor of Psychology & Human Values at Princeton | Cognitive scientist curious about technology, narratives, & epistemic (in)justice | They/She 🏳️‍🌈 www.crockettlab.org

This is 💯 not true. It is never a choice between ‘taking big tech’s money and doing nothing’. A stronger moral imperative is NOT to take the money and the strings attached to it - particularly if you do not and cannot yet understand the implications

Hypervisible @hypervisible.blacksky.app · 4h ago

“Teaching educators about AI is a ‘moral imperative’, said Randi Weingarten, the AFT president.” “And without outside funding, it was a choice between taking big tech’s money or doing nothing, she said.”

We're experiencing loneliness epidemic. Could AI chatbots help solve that problem? If you would have asked me up until recently I would say "probably!". But we don't know for sure. To answer this question, researchers in France recently ran a very cool experiment...

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I love Talarico and hope he wins. But he’s already raised $70M On the flipside, control of critical state legislatures will come down to seats where candidates raise 0.1% of that. I’ve researched the highest leverage swing district candidates you should donate to secure.actblue.com/donate/donat...

Donate to the candidates on the front lines of the fight against MAGA gerrymandering

These are anti-MAGA state candidates in *extremely* close races

secure.actblue.com

Brilliant piece from @hannahforsyth.bsky.social . Of course, nobody or almost nobody reads academic “outputs”. Their function is to get jobs, secure promotion, avoid redundancy, get better scores on dubious metrics. Which makes AI almost the perfect tool for the unscrupulous professor.

If you can't be bothered writing it, I can't be bothered reading it.

The producerist vision of AI seems to assume an endlessly expanding market for reading. And reading. Well. It is rather more than a market.

substack.com

I wonder if students today would be less likely to lean on AI for writing assignments if schools had made sure they could touch-type (at least 60wpm) before having them submit all their assignments online. 1/🧵

My boiling hot take on this is that, if tech companies are going to fund this kind of research (looking at Schmidt too), then the money needs to be given *no strings* to an independent arm's length research body, pooled with other funding, and treated as a donation not as direct funding.

Hetan Shah@hetanshah.bsky.social · 5d ago

Anthropic AI research fund offers $5m - $30m for social science research on themes of AI impact on workers; transition initiatives; income support; building worker stakes; and wider evidence on public investments. Total fund of $200m available www.anthropic.com/news/economi...

Great piece on what “co-” (copilot, co-author, etc) does for situating the relationship to LLMs. One thing to add: “co-“ allows just enough of the user to absorb accountability for what the model does wrong or badly, while asserting nonetheless that the model is just as capable as a person.

Brigitte Nerlich@bnerlich.bsky.social · 4d ago

I wrote this before the current AI going rogue kerfuffle but it relates to it - deals with the seductive prefix co- in AI speak: theconversation.com/why-the-ai-i... #AI #AIMetaphorObservatory #metaphor

Nature did a nice, accessible write up of a recent piece I wrote with @mjcrockett.bsky.social, Kevin Gross, and @carlbergstrom.com. Also, check out Carl's more detailed thread (with link to the paper in both). "Scientists using LLMs will ‘do more, less well'" www.nature.com/articles/d41...

Scientists using LLMs will ‘do more, less well’, modelling study predicts

Research suggests that the combination of incentives to publish and the use of large language models will lead to more papers, but they will be less refined.

nature.com

Carl T. Bergstrom@carlbergstrom.com · 2w ago

1. We—@eduede.bsky.social, @mjcrockett.bsky.social, Kevin Gross, and I—have a new preprint on the arXiv today, based on ideas that emerged during an @sfiscience.bsky.social workshop in November 2024: The unintended consequences of large language models as a labor-augmenting technology in science.

I recommend this article about AI reasoning, where the author lets us in on his struggles w/ AI cognitive dissonance. Plus some priceless quotes from @rao2z.bsky.social. (My recommendation has *nothing* to do with the fact that I'm quoted in it too 😇) www.quantamagazine.org/is-ai-reason...

Is AI Reasoning Right for the Wrong Reasons? | Quanta Magazine

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

quantamagazine.org

“Good science requires a ‘chain of custody of why’…We must be able to challenge and potentially falsify every decision point so that when something inevitably goes wrong, we can try to figure out where we went wrong. Protein-structure models [such as AlphaFold] don’t allow for this.”

John Trant@trantteam.bsky.social · last mo.

New sanctioned (t)rant about AI just dropped. On the limits of Alphafold and my worries about the disaster its use will cause for the literature and early-stage academic drug discovery. Look, they commissioned it. And by commissioned I don't mean I got paid, just invited. Awesome process btw.

I believe this 100%. The moral injury of the period, the grief from not just the too and so many deaths but the kinds of lives we had before, the laying bare of disposability, the non covid deaths it sped, the institutional strain, the collective fear and distrust, the prioritization of work anyway

The Fig Economy@figgityfigs.bsky.social · 7d ago

One of my Crank Theories of Everything, at least of Everything in the Recent Past, is that we are dealing (badly) with COVID trauma we’d mostly prefer to pretend never happened.

Will they be open to research that suggests the impact of AI is terrible? I wonder whether they are interested in real findings or only in research that supports their business model. Which is exactly why we need public funding agencies to underwrite real research.

99% of the time, when someone accuses you of selective outrage, it’s a way of politically demobilizing you and shutting you up “Why are you angry about data centers instead of fast fashion” isn’t about making you care about fast fashion. It’s about shutting you up about data centers And visa versa