Well would you look at that
www.npr.org/2026/01/14/n...
Well would you look at that
www.npr.org/2026/01/14/n...
Does #GenAI in Ed make your ears perk up... or your eye twitch? π€¨
Join our #CHI2026 Workshop on Engaging Critical Resistance to AI!
Run by a team of teachers and researchers, we're looking past the hype to learn from real classroom issues.
Papers due Feb 5! More infoπ
criticalaied.netlify.app
Does #GenAI in Ed make your ears perk up... or your eye twitch? π€¨
Join our #CHI2026 Workshop on Engaging Critical Resistance to AI!
Run by a team of teachers and researchers, we're looking past the hype to learn from real classroom issues.
Papers due Feb 5! More infoπ
criticalaied.netlify.app
"[I]f disciplines move proactively, they can dramatize their central role, and show that our campuses are not just lovely places to scribble in blue books but sites where students discover things that arenβt yet contained in any model."
β₯οΈ
Approach AI with curiosity and a little wonder, not dread.
sources:
www.nytimes.com/2025/07/27/u...
www.wired.com/story/ai-tea...
For the first few days, Barrios says, her daughter ate her snacks. Then one afternoon she returned with them still in her backpack, uneaten. Barrios, alarmed, asked if Alpha was providing different food instead. No, the 9-year-old answered. She told her mom that staff at the school said she didnβt earn her snacks and wouldnβt get them until she met her learning metrics.
AlphaSchool, a story
How it started:
βMotivation is 90 percent of what creates a great learning experience,β [co-founder] MacKenzie Price said.
How it's going:
It seems like what happened is that Newsom signed a less restrictive bill with basic protections and vetoed the stricter bill within the same day. I'm just catching up on this, but it sounds like a win for the chatbot companies.
Fascinating! When I search for this article on bluesky, I see two different headlines:
apnews.com/article/cali...
"California governor signs law to protect kids from the risks of AI chatbots"
"California governor vetoes bill to restrict kidsβ access to AI chatbots"
...
The takeaway:
π Accommodating the radical right on immigration doesnβt win back voters.
π It alienates the progressive base.
π And it raises the salience of the very issue the radical right owns.
In short: itβs electoral self-harm.
Header: Activity, Inferred, and Off LinkedIn data Text: For those members in the Designated Countries (link), we rely on consent to process Activity and Inferred Data and Off LinkedIn Data for personalized ads, including measurement and improvement.
New advertising data privacy settings on LinkedIn for EU!
"this thing is very good at a narrow subset of tasks it has optimized to be good at, often fails catastrophically at things outside its remit, and is always confident that it's right" feels pretty PhD-level intellect to me!
If itβs a slow motion train wreck, then does Gen AI delay or slow down the wreck at all? If teacher workloads are actually being reduced by outsourcing some of their job to GenAI, then maybe we will leave the profession a little more slowly. Or maybe we will just get more, other work to do. π€·π½ββοΈ
Now is a fine time to think about what makes two artificially intelligent systems the same or different. Really liked Andrea Ferrarioβs paper on this from #FAccT25: arxiv.org/abs/2506.03233
Thanks for sharing! After this explanation, what do your audiences want to clarify or learn next? Any memorable questions or trends?
The public meltdown happening between the worldβs richest man π and the President of the United States ππ once again begs the age-old question: are men simply too emotional to be in positions of power?
β¦ like you mentioned in your limitations. Lots to ponder! Thanks for sharing βΊοΈ
Really fresh perspective, Peter! Helpful vocabulary and theory for having this (important) conversation about embracing Gen AI βflawsβ. Thinking about applications to teaching and also how this could be used to add friction that disrupts Type-1 thinking in contexts when Type-2 is preferredβ¦
Need more communication like this! Many people donβt know where their tax dollars go.
βI canβt let you do that, Daveβ but as a feature
An aerial panoramic photo of Barcelona in the evening.
If you're considering a CS PhD but concerned about pursuing it in US, I'm happy to chat about EU options. I just did this and am starting a #PhD in Spain this year on fairness and interpretability of LMs.
DM me and ask about applications, funding, programs, etc. #academicsky #computerscience
Sorry to miss you at CHI! Just emailed you :)
Nice experiment! Would love to chat, especially about education-related contexts!
Going to my first CHI! Happy to chat tomorrow or Sunday with anyone building for learners or with interpretability folks! #chi2025
As people's lives are increasingly being influenced by language models (with or without their consent), AI safety is more important now than ever. I'm sad that some of this research is losing support in the US, but I am also relieved to work in an ecosystem where trustworthy AI is a top priority.
Me wearing a sweater walking alongside a beach with a small child on my shoulders.
Super excited to share that this Fall, I will be moving to Barcelona to start a PhD at Pompeu Fabra researching language model safety and interpretability around questions of bias and discrimination. I've been working on my balancing act: deep learning by day, beachside shoulder rides by sunset π
β’ Al Overview The idiom "you can't lick a badger twice" means you can't trick or deceive someone a second time after they've been tricked once. It's a warning that if someone has already been deceived, they are unlikely to fall for the same trick again. Here's a more detailed explanation: β’ Licking: "Licking" in this context means to trick or deceive someone. β’ Badger: The badger is a wild animal, and the phrase likely originates from the historical sport of badger baiting where dogs were used to harass
Someone on Threads noticed you can type any random sentence into Google, then add βmeaningβ afterwards, and youβll get an AI explanation of a famous idiom or phrase you just made up. Here is mine
okay now that you all have gotten a taste of America's rational and predictable new trade policy, everyone who wants to build your new factories here just form an orderly line
This is a really interesting experiment -- thanks for sharing! If I may ask: How did you choose the model to work with (and why one)?
Thanks for researching and writing ππ½. You've made a fan!
Stunning. I would have loved having this on my wall when I was a physics teacher!!