Your phone will never take a good photo of the moon except for this one rare exception.

A photo of the thing literally described in the main text of the post.

Reading a book about Sicily, set in Sicily, by a Sicilian, and at one of the many, many parts of this Sicilian story where the Sicilian characters mention Sicilian things in Sicily, a previous reader has made a marginal note: “Sicilian”.

bsky.app/profile/bruc...

Interestingly most of the research into POTS (postural orthostatic tachycardia) happens because of space science; it astronauts who have been in space for long periods of time suffer from it when they return to earth.

Hard not to be jealous of anyone bobbing gently the Pacific with three friends and no signal right now.

⚒️🧪 Got an @earthscope.org email saying that the #ArtemisII re-entry shockwave may be audible in coastal southern California between 17:00 and 17:15 PDT or so today!
If you're in this area, fill out a USGS felt report with details of what you do (or don't) hear! earthquake.usgs.gov/earthquakes/...

it’s actually the ceaseless april of time

Fake or real, the “inside traders” on Polymarket are great engagement bait Welcome to the age of fake insider trading

I strongly suspect that this is part of a much larger pattern and a lot of the “people are using AI for THAT?!”/“people are taking out loans just to XYZ”/“did you hear about the weird fad on that one social platform?” news is this kind of countersignaled PR. www.theverge.com/business/905...

Who do I ask for the raw for art002e000193? I know JSC has a process for releasing them.

A screenshot of a Pitchfork story headed “Bob Dylan Launched a Patreon for Some Reason: It includes letters and essays that appear to have utilized AI”, by Nina Corcoran, dated March 29, 2026.

That’s a great question. A man doesn’t have to walk down any roads at all before you call him a man—he’s already a man. Would you like me to suggest some better ideas for songs, or should we explore the wonderful world of children’s riddles?

Sending a box of angry hornets to the work address of everyone who distributes data in the netCDF family of formats with a smug little note letting them know the hornets are self-documenting.

I think that if the intro to your video is “Thing – you know, [complete description of thing]”, as if you don’t know how the phrase “you know” works, but really you’re just too lazy to write a carefully pitched intro, you should have to post a no-excuses apology, sincerely reflect, and make amends.

Struggling with matplotlib’s fucking awful way of doing absolutely everything is what gives meaning to life, though. Otherwise we might as well be brains in jars.

Please make all necessary preparations to read my wonderful partner’s wonderful book.

Sending good vibes to the adult whose feelings I hurt as a teen in 1998 for suggesting that Deepak Chopra might in some way lack credibility or integrity.

(But also: hire me!)

(Mostly off social media right now due to The Horrors, which I do not optimally digest in this format. If I follow you, I would welcome an e-mail or other asynchronous communication from you. Otherwise, expect me when you see me.)

So in the actual implementation, Potato expects (1) a pan band, (2) the particular spectral sensitivities, and (3) the particular spatial artifacts of the WV-2/3 sensors. However, almost everything in it on a conceptual level should translate for … pretty much any visible sensor.

checking my spam folder

GitHub - celoyd/potato: A small pansharpening model A small pansharpening model. Contribute to celoyd/potato development by creating an account on GitHub.

github.com/celoyd/potato/ :)

this is obviously ai

You gotta hear this song, it'll change your life I swear. (plays the Shins cover of "Wonderful Christmastime")

(Some of it is in the source data. You can see Potato drawing some non-physical “shadows” around the boats, for example; it’s definitely not filtering as much as it should be here. But that can only be part of what’s going on.)

Yeah. I have some hunches about what’s going on, but I’ve tried not to spend time even informally reverse-engineering it. Knowing exactly what’s going on here wouldn’t help me do anything I want to do.

This one is less subtle. Look at the paddleboards’ colors and the ringing artifacts (dark halos) around the paddleboards, boats, etc. Also, those faint diagonals in the water in the standard image? They don’t diffract. They’re artifacts, not ripples.

A side by side image of part of a marina in two versions. The one on the left is slightly grainy and lacks color detail. The one on the right is imperfect but noticeably better.

Stand-up paddleboards and boats, Marina Del Rey, 2025-01-16 (CID 103001010C12B000). L: standard, R: Potato.

One of the big aims is to make images that look like photos, pictures, not just visualizations of data that happens to be visible light. (Nuance on this is in the essay in docs/personal.md.) So putting aside technical details, what I’m looking for here is a sense of seeing a real moment.

A side-by-side comparison of a beach, a breakwater, and colorful boats tied to the breakwater.

Boats at a breakwater, Manila. A subtler one, maybe – zoom in? 2025-11-13, latitude 14.5818, longitude 120.9576, CID 10400100770EF000. Commercial off-the-shelf pansharpening on the left, Potato on the right.

A screenshot of a CSV showing satellite image catalog IDs with various numbers and notes.

Secret Potato lore (it’s in the docs, but not the interesting part of the docs): I hand-rated more than 1,400 satellite images on several quality axes to filter the training data. I put a lot of city miles on QGIS. This was a terrible idea, but I chose to be guided by the sunk-cost fallacy.