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Reposted by Dominik Moritz

sarahquaint @sarahquaint.bsky.social · 4d

While providing tech support for my FIL:

FIL: What's that screen?

ME: The terminal. You should never use it.

FIL: Never?

ME: So you know how I'm allowed to watch you open the electrical panel and swap out breakers, but I'm not allowed to ever open up it myself?

FIL: Ah! I understand, thank you.

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Reposted by Dominik Moritz

EmmanuelSPV @emmanuelspv.bsky.social · 5d

Before (2012) / After (2025) Rue le Vau, Paris 20. The change here is so radical that perceiving the photos as aligned is difficult (see the orange building and the trees on the left). In 2024, this section was converted into a school street with a bike lane running through the greenery.

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Dominik Moritz @domoritz.de · 6d

Area is definitely better than radius, but not perfect. Area perception isn't itself linear. See en.wikipedia.org/wiki/Stevens.... Basically, people perceive larger circles as less large than they are.

In general, I tend to avoid size for accurate perception of magnitudes for this reason.

Stevens's power law - Wikipedia

en.wikipedia.org

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Dominik Moritz @domoritz.de · 13d

Why don't AI people ask an AI model to help with naming? (Or maybe that's what they all did...)

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Dominik Moritz @domoritz.de · 13d

While I do research that is intended to live on, I don't think it would be sustainable for everyone to do the same.

It's good and necessary that people do different research with different goals. Reproducibility is a shared goal, though, that probably all research types should strive for.

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Dominik Moritz @domoritz.de · 13d

There is a lot of great work on how viewers interpret uncertainty and how to visualize uncertainty at the last few years of the @ieeevis.bsky.social conference.

For example Hypothetical Outcome Plots (HOPs) by @jessicahullman.bsky.social. idl.cs.washington.edu/files/2015-H...

idl.cs.washington.edu

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Dominik Moritz @domoritz.de · 13d

Great post. I agree that research should be abstracting away from the implementation.

I will add that protocol design itself can be a research activity and that software artifacts can be enablers of follow up research. I talked about this at the Stanford HCI seminar youtu.be/6DIIkX19ihs.

Stanford Seminar - Build less, design more (interactive systems)

YouTube video by Stanford Online

youtu.be

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Reposted by Dominik Moritz

Terri @terriclarke.bsky.social · 16d

Zürich has passed parking reform similar to what Halifax Council has been debating this year.

Residents of Zürich will pay parking fees based on the weight of their car. A goals of this reform is to reduce the number of large SUVs in the city and thus use public space more fairly and sustainably.🧵

archive.ph

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Dominik Moritz @domoritz.de · 15d

That’s super interesting. Writing thoughts to to files could make it behave very differently from other systems making it harder to switch between models. I was kinda hoping for commoditization but I guess we get specialization.

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Reposted by Dominik Moritz

Michelle Lam @mlam.bsky.social · 16d

A huge thank you to co-authors @fredhohman.bsky.social, @domoritz.de, @jeffreybigham.com, @kenholstein.bsky.social, and Mary Beth Kery! This work was done during my summer internship w/ Apple AIML, and I’m thankful to work with this wonderful team :)

arxiv.org/abs/2409.18203
#UIST25 talk: Wed 11am!

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in the context of large language models (LLMs): how do you ensure coverage over a vast behavior space? We introd...

arxiv.org

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Reposted by Dominik Moritz

Michelle Lam @mlam.bsky.social · 16d

LLM safety work often reasons over high-level policies (be helpful & polite), but must tackle on-the-ground cases (unsolicited money advice when stocks are mentioned). This can feel like driving on an unfamiliar road guided by a generic driver’s manual instead of a map. We introduce: Policy Maps 🗺️

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Dominik Moritz @domoritz.de · 27d

It fells like too much of US politics depends on an honor system rather than clear separation of power.

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Reposted by Dominik Moritz

Jo Wood @jwolondon.bsky.social · 28d

🚨#datavis Job alert 🚨

Fancy working with us in London as a researcher using @observablehq.com Plot for accessible #datavis?

To support people with language disability in the use of data visualization for everyday decision making.

www.citystgeorges.ac.uk/about/jobs/a...

Details | City St George's, University of London

Details of job vacancy at City St George's,, University of London

www.citystgeorges.ac.uk

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Reposted by Dominik Moritz

Frank Elavsky ⌁ @frank.computer · Sep 13

Feels surreal to have professional milestones amidst current events, but I'm sharing for folks who still want to learn about accessibility in visualization.

Back in June I spoke at @datavizsociety.bsky.social's Outlier about "softerware" (below) and now our paper has been officially accepted! 🎉🎉

Frank Elavsky—Re-imagining Data Visualizations as Malleable Interfaces (Outlier 2025)

YouTube video by Data Visualization Society

youtu.be

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Reposted by Dominik Moritz

Vega, Vega-Lite, and Altair @vega-vis.bsky.social · Sep 15

github.com/vega/altair hit 10k ⭐️ on GitHub recently. Congrats to the Altair team and the amazing community.

GitHub - vega/altair: Declarative visualization library for Python

Declarative visualization library for Python. Contribute to vega/altair development by creating an account on GitHub.

github.com

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Reposted by Dominik Moritz

sam henri gold @samhenri.gold · Sep 6

Did you know your MacBook has a sensor that knows the exact angle of the screen hinge?

It’s not exposed as a public API, but I figured out a way to read it and make it sound like an old wooden door.

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Dominik Moritz @domoritz.de · Aug 27

Please use timeful.app 📆 when getting people's availability. Ty!

Timeful (formerly Schej) - Find a time to meet

Timeful helps you find the best time for a group to meet. It is a free availability poll that is easy to use and integrates with your calendar.

timeful.app

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Reposted by Dominik Moritz

Transit @transit.app · Aug 25

🎆 Say hello to Transit 6.0! 🎆

It’s our love letter to public transportation — the brightest, boldest, and best version of ourselves yet 🌟

Meme of two old pictures side-by-side blocking someone's face with superimposed screenshots of Transit's old UI. Caption: "Only Transit could take this and this, and give you...”

Meme of revealed makeover face with a superimposed icon of Transit’s 6.0 branding. Caption: “A masterpiece.”

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Dominik Moritz @domoritz.de · Aug 18

I used AI to take a bunch of pictures of the movie list on a flight and make me a table with ratings before the flight so I can be strategic about what to watch.

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Dominik Moritz @domoritz.de · Aug 14

You're selling yourself very very short here. But that was impressively fast.

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Dominik Moritz @domoritz.de · Aug 11

Did something happen?

notification reading: 2 people reacted to your review US Steel Clairton Mill Works • "Major air polluter in the area that consistently breaks
laws that are here to protect people."

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Reposted by Dominik Moritz

The Upshot @upshot.nytimes.com · Aug 3

www.nytimes.com/interactive/...

We updated our rent vs. buy calculator.

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Dominik Moritz @domoritz.de · Aug 1

Also check out the research paper at arxiv.org/abs/2505.06386.

Embedding Atlas is an Apple project by Donghao Ren, @fredhohman.bsky.social, Halden Lin, and me.

Embedding Atlas: Low-Friction, Interactive Embedding Visualization

Embedding projections are popular for visualizing large datasets and models. However, people often encounter "friction" when using embedding visualization tools: (1) barriers to adoption, e.g., tediou...

arxiv.org

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Dominik Moritz @domoritz.de · Aug 1

Built with Mosaic and @duckdb.org, it's optimized for speed and scales to millions of points—right in your browser.

👉 Try it out: apple.github.io/embedding-at...

We'd love to see what you build with it—feedback and contributions are welcome!

Embedding Atlas

Interactive visualizations for large-scale embeddings. Effortlessly explore, filter, and search through rich metadata.

apple.github.io

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Dominik Moritz @domoritz.de · Aug 1

With Embedding Atlas, you can:

🗺️ Explore 2D UMAP projections of embeddings
🏷️ Discover auto-labeled clusters and view density contours
🔍 Search and cross-filter text and metadata

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