Explainable AI has long frustrated me by lacking a clear theory of what explanations should do. Improve use of a model for what? How? Given a task what's max effect explanation can have? It's complicated bc most methods are functions of features & prediction but not true state 1/

The article mentions some of the Black male entertainers we've lost over the past years who weren't able to reach 60 years old: DMX was 50 Coolio was 59 MF Doom was 49 Craig Mack was 47 Nate Dogg was 41 Prodigy was 42 Shock G was 57 Black Rob was 51 Irv Gotti was 54 DJ Mister

A subtle aspect of predictive modeling is target variable construction: translating an unobservable concept like "healthcare need" into a prediction target But how does target variable construction unfold in practice, and how can we better support it going forward? #CSCW2025🧵

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Just think of how much better off we'd be if every established researcher got in the habit of writing papers entitled "Second thoughts on [thing I'm famous for]"

Much of AI ethics is caught between two undesirable poles: some implausible and constraining totalising rubric like “safety” or “trust” or else a word salad of buzzwords (“autonomy”, “dignity”, “human flourishing” etc) that sound nice but whose content and relations are left

https://t.co/0S4kpOb55L or https://t.co/eOPJncWPsV

Think twice before you sell your $XGAME You might be "forced" to buy higher

My full rewrite of the (very long) first part of Howl is now live. I hope someone somewhere enjoys reading this as much as I enjoyed writing it! Link below 👇

I actually think you can get the experience of being deeply focused on ideas back to some degree post tenure, if you’re willing to trade-off a lot of popularity. Less students, less papers, less community involvement but more daily intellectual satisfaction isn’t a bad deal

Thanks to @EricTopol for highlighting our latest study, which looks at some of the failure points in the clinical reasoning performance of reasoning models. What does this mean for the future of diagnostic decision support? And can LLMs actually medically reason? A 🧵⬇️

Oh, you have criticisms of my paper? Surely you noticed the part of the paper where we already rebutted your critique, by writing “Possible criticisms: the methodology of this paper is bad. We are aware of this.”

Neutra Corp's Subsidiary, Neutra Life Sciences, Adds to Its Site Network With New Joint Venture Partnership in Family Medicine

Posted more from the Howl rewrite here: https://t.co/QPyudFy0Ct

"who fed it words, who watched it excrete words, who fed it excreted words again & again waiting, who ran the primitive nervous system w/sloshing words & prayed & made words of excrement & finally brought it out to check Time & now mistake the words for heroes... 1/2

I wonder, how far are we from genAI creating stuff like this? Or Bruce Naumans Tony Sinking into the Floor? Or PeeWees PH episodes where they do stuff like film the dog chewing closeup for 10s, just bc? https://t.co/pqR3fG3yko Not "in the style of" but new equally strange things?

In a strange twist, Allen Ginsberg’s picture showed up in my morning train today. I’m taking this as his stamp of approval!😀 https://t.co/eOPJncWPsV (And yes, whoever wrote Pedo on his head had a point)

Neoliberal totem-builders realigning the ancient heavenly connection to the neon nanoscale in the soft landing pacific Night who Icarian & iconoclastic & waterproof colonize loudly in sanctuaries of but-we-are-as-gods-&-might-as-well-get-good-at-it..." https://t.co/WAWkBScC80

I’m glad I’m knot mad. But very sad!! No Yor enemies

I rewrote Allen Ginsberg's Howl, but for the AI-headed hipsters👇 "I saw the best minds of my generation distracted by machines, shining-eyed delusional demo gods, rubbering through polished cities at dusk Capitalizing The Next Big Push to the end of Introspection, 1/2

New PhD students have arrived & are fitting in nicely

Unpopular opinion: When a paper has a senior mentor and a junior mentee, the senior author must make sure the claims are correct and well supported. They must check every claim and gate the submission until it meets that bar. The junior author is the generator. The senior author

New research explains why LLMs hallucinate, through a connection between supervised and self-supervised learning. We also describe a key obstacle that can be removed to reduce them. 🧵 https://t.co/6Lb6xlg0SZ

Nothing like that cozy feeling of unchecking almost everyone the review system flagged as a conflict for you, because your state of non-allegiance is so complete ❌

Brand new paper with @johnjhorton that I'm very excited to share: "General Social Agents" Suppose we wanted to create AI agents for simulations to make predictions in never-before-seen settings. How might we do this? We explore an approach to answering that question!