"Coding Models Are Doing Too Much" nrehiew.github.io/blog/minimal...

🧵 On social media, we feel trapped in “filter bubbles” and “echo chambers.” Often, we see this as a problem with the algorithm. Our new essay argues the problem is the feed interface itself: it constrains our movement—all we can do is scroll. We lay out an alternative vision:

I have 100s of the same bad photo of Mount Rainier. I take a new one every time the mountain is out. All just to delight me.

I wrote up a few notes about structuring research narratives. levon003.github.io/2026/04/03/s...

Renaissance Philanthropy has announced an "AI in early literacy" initiative with the north star goal of halving the number of struggling readers through personalized literacy interventions. www.renaissancephilanthropy.org/insights/ren...

This is something I really worry about. Wikipedia relies on the "network of trust" established by institutional publishers and the editorial oversight they provide. With trust in media publishers plummeting and the rise in independent journalists, how can we establish new trust networks?

Good post on how to think about honing your skills as an (academic) researcher by Carlini nicholas.carlini.com/writing/2026...

Wikipedia celebrating its 25th anniversary with their "Knowledge is human" campaign. I like the narrative framing they chose.

I've published the first two chapters of a new guide to Agentic Engineering Patterns - coding practices and patterns to help get the best results out of coding agents like Claude Code and OpenAI Codex simonwillison.net/2026/Feb/23/...

AI makes continuous reproducibility and robustness testing trivial. What happens to science under new levels of scrutiny and stress-testing by default? Some thoughts on how this could play out, informed by watching open science play out over the last decade.

Now immortalized on "List of hoaxes on Wikipedia" en.wikipedia.org/wiki/Wikiped...

Pinning everything on the results of a single study was always going to be a volatile way to use evidence, but now it could be very costly indeed. Rely on rigorous areas with deep commitments to clear methodologies, diverse data, and real-world tests of interventions.

Got to do something cool on Wikipedia yesterday: I uncovered a hoax article that was undiscovered for 17 years! levon003.github.io/2026/02/19/s...

Cory does a better job of explaining my research than I do. 😅

Fun paper. From 2011, but very relevant to the personality design of LLM tutors today.

tSNE did a pretty good job here!

WikiEdu partners with college instructors to have students edit Wikipedia. ~5% of student edits were bad gen AI use, using a Pangram detection system. Biggest problem was mismatch between generated sentence and the associated citation, which is hard to catch. wikiedu.org/blog/2026/01...

I am recruiting a postdoc in HCI & AI!
 Interested in augmenting human thinking and learning, futures of work & education, participatory AI, collective intelligence, or related topics? Please get in touch! This 2-year position will be based at a top university in Europe (email or DM for more info)

--dangerously-skip-understanding

The future is software writing its own software. Which is why I'm so in love with Pi: a coding agent that can extend itself :) lucumr.pocoo.org/2026/1/31/pi/

One of my first dates with my future wife was at Glam Doll. I’ve walked by that spot dozens of times going to the gym. Abolish ICE.

Reasonable take. I like the idea of more CS pedagogy focused on understanding real-world complex codebases. the-learning-agency.com/the-cutting-...

I missed this last month from @tilmanbayer.bsky.social: "AI finds errors in 90% of October's Featured Articles". Great example of human-in-the-loop LLM use for verifying Wikipedia articles. en.wikipedia.org/wiki/Wikiped...

Did a quick link roundup for Doll's Verification-Driven Development. Very interesting approach. levon003.github.io/2026/01/07/v...

i liked @odannyboy.bsky.social 's breakdown of the four visions of AI futures -- odannyboy.medium.com/the-four-hor...

I really can’t imagine how different my human–computer interaction PhD would have been if building reasonable-fidelity prototypes took me weeks instead of months…

New post! There was a lot of innovation in medicine and biomedical research this year, and I've tried to summarize the biggest ones in this blogpost. Medical breakthroughs in 2025. Plus a serious note at the end. www.scientificdiscovery.dev/p/medical-br...

Black pill

This but unironically

In a new blog post, I argue that CS is already an empirical discipline, even though we often act as if it is not (mostly to our students). doomscrollingbabel.manoel.xyz/p/the-empiri...

Interesting argument, worth reading. I respect Togelius for biting the bullet and explicitly arguing that "expanding humanity's collective knowledge" is more morally important than acquiring life-saving technology developments, although I think this is a (very) hard view to support.

This is particularly impressive to me because Arcadia sucks! Proof you can find value in anything 🤗

This has been a challenge for cs.HC: we need folks to step up and support that category. Please contact me if you are interested in moderating either DH or HC! Thanks!

I regularly see critiques of pleasing-but-false ideas, but I've also had to work quite hard to shape my information feed to include that kind of information. There's a lot of low-hanging fruit here: human–computer interaction researchers should build tools that make feed-shaping easier for people.

Worth reading. Some nice reflections here.

“look how much better my favorite model is compared compared to these other TRASH MODELS😒😒😒 when I specifically chose a DGP that matches my models assumptions and not the others’😌”

Feeling major #CSCW2025 FOMO this week! But I enjoyed virtual participation and I'm honored to share that I won a Best Paper Award. Here's a blog post about my study: levon003.github.io/2025/10/22/c...

Love this story about how Wikipedia fends off censorship and disinformation: "Wikipedia’s first and best line of defense is to explain how Wikipedia works." www.theverge.com/cs/features/...

Created a small tool for updating a Slack channel when new papers are added to a Zotero library. Totally free using Google Cloud Run's basic tier. levon003.github.io/2025/09/19/z...

A quick love letter to the Internet Archive's free online book loans: it makes it so easy to verify extremely obscure facts! I'm constantly using it to verify info on Wikipedia.

Thinking again about AI as tarmac. (Here's Fred Turner, writing in 2017.) levon003.github.io/2024/05/19/m...

This genuinely shocked me. A Qualtrics heatmap included in a 2019 Nature Comms paper, turned into a far-right meme by the Department of Homeland Security. levon003.github.io/2024/07/27/m...

Starting to get excited for #CSCW2025! I have a paper on peer support via recommender systems in the virtual session. Recommender systems should treat people matching as a serious design goal! levon003.github.io/2025/02/25/c...

The @acm-cscw.bsky.social Starter Pack is growing ahead of #CSCW2025 ! (go.bsky.app/SPumuMT) 🔥 A warm welcome to all of our new members 🔥: @imanm02.bsky.social @jesanovi.bsky.social @shadinz.bsky.social @jaytee-ess.bsky.social @jaewonk.bsky.social @sypark9.bsky.social New member thread 1/x

This article was a supreme delight: grab a cup of tea, set aside 10 or 15 minutes, and enjoy this story about The Hardest Working Font in Manhattan. aresluna.org/the-hardest-... (via @ferociousj.bsky.social)

Very interesting bill. I wrote up a few initial thoughts, including on the peer support exemptions. levon003.github.io/2025/08/11/i...

Amazing things are happening in the UK www.ft.com/content/6256...

I wrote about how AI chatbots strip cultural and historical context away from language. What remains is merely a ghost in the machine, and it's repeatedly making people confused and scared www.wired.com/story/chatgp...

This post tries to explain why I find language models exciting. But it doesn't try to persuade skeptics that they should agree. It's aimed more at people already working with AI, and its goal is to sharpen our collective sense of what the upside potential might be. #MLSky 🤖 🧪