Recent submissions

Comment · 4 days ago
yes, between about 1948 to about 1973, real hourly wages rose approximately in lockstep with worker productivity.
Comment · 18 days ago
this stuff is a game changer for implementing workflows with some user-facing interaction. I was working on a desktop publishing webapp with a specific slant, the previous iteration of the graphical editor UI was not very good, in order to build anything you have to specifically instruct the agent how every little interaction works, and my recollection and description was often different from how the "standard" desktop publishing flow works (i.e.: this is the sequence of actions to expand a selected entity preserving the aspect ratio, here's how to preserve the center-point, here's how to multi-select, etc). I told the agent "take the frontend from vectorcraft, adopt this specific subset of tools, build it for wasm, and plug in my agent tools and storage backend" - and within a day of deciding to adopt it, I had a much higher quality editor interface that anyone with desktop publishing experience will immediately know how to use, plugged into my storage format.
Comment · 19 days ago
I'm not sure if I understand the concern; for clarity, I'm just making a general comment about the state of contributing AI to open-source software related to resvg, not related to QGIS itself. svg2 spec says css geometry attributes only support cartesian coordinates.
Comment · 19 days ago
I implemented css geometry properties for svg2 in resvg with claude. I know it works and I've read the relatively small diff. But I'm afraid to send a PR because it might offend a artisanal handcrafted free-range software enthusiast. I guess any other AI enjoyer who needs this feature, which is standard functionality in svg2, will just burn a few tokens and do it themselves to keep the luddites from smashing the factories.
Comment · 1 month ago
There are definitely long books I've read where I didn't feel like I got enough out of them for it to have been worth it, like I read (listened to) Gravity's Rainbow right after and a lot of the characters and plot lines just annoyed or disgusted me, but I'm sure that book means a lot to a lot of people. In the interview "Of course you end up becoming yourself," the author talks a lot about how in avant-garde literature you have to make the payoff good enough to reward the reader for doing the work, and that equation is going to be different for everybody.
Comment · 1 month ago
still legal in 32 states, and Scotland and Northern Ireland, BBC
Comment · 1 month ago
I just implemented this with oauth - basically I have a tool that returns a signed URL that the client can PUT the file to. Works in ChatGPT Work mode. My use-case was to have the client generate an image and upload it.
Comment · 1 month ago
the last scene is absolutely bonkers, if that helps you get through it
Comment · 1 month ago
it's not for everybody, but there were some specific things going on in my life when I started it that deeply connected to the subject matter for me
Comment · 1 month ago
The end notes are interspersed throughout the book where they're referenced, and then a bell rings before returning to the main text. That's why I listened to it twice. I remember towards the end of the first listen-through, I sort-of recalled some of the earlier end-notes, like for example Himself's filmography, which I had basically ignored the first time through, but listened to intently the second time through.
Comment · 1 month ago
Just finished a David Foster Wallace kick. I listened to the new 30th anniversary audiobook of Infinite Jest (twice) and then The Pale King (twice). Then I listened to "Of course you end up becoming yourself" which is a long-form interview with Wallace by David Lipsky, traveling with him on the Infinite Jest book tour.

I had to listen to the books twice because there are a lot of details that you won't get the first time through unless you're extremely intentional and detail oriented, but I found it was worth it to listen again. I'll probably listen to Infinite Jest again sometime soon, even though it's 64 hours long. IJ is actually really great sci-fi with some important questions for our time.

Comment · 1 month ago
what good is a phone if it isn't on a network?
Comment · 1 month ago
I'm not trying to say that other apps don't also provide great advice (especially RP, I love watching Dr Mike and have learned a ton from him), but I think that a lot of the flexibility in the programs in these apps are primarily for marketing purposes (like are you really gonna look like Black Adam after following the Black Adam program? unlikely..)

My marketing is for a different niche - people who lift weights, see that they have variability set to set and day to day, and want a program that will help them quantify that variability and understand what it means. One thing that works really well in my program is detecting when you need a rest or deload, because the baseline comparison is rigorous and sensitive - if you have one bogey set, it might not mean much, but when you see that even your opening sets are at or below baseline after a stretch of workouts, that's a pretty good signal, and that's hard to get with most apps.

Comment · 1 month ago
I don't intend to monetize, I only want to compete for data. I think it's an interesting field and I'd like to be able to contribute back to the science by using the data gathered. I think these workout apps try to be opinionated about what an effective program is, but they try harder to make money, so they generally bend over backwards to accommodate whatever program the paying customer wants to do. Mine is more opinionated. I think this is the best way to lift weights for a wide range of athletes who are interested in getting stronger and bigger with the least amount of wasted effort and lowest chance of injury, the simplest way to record it, and the best way to get a statistically defensible understanding of how your strength is changing over time. If you want to do something different, as you mention, the space is crowded with apps.
Comment · 1 month ago
physiological papers. My main interest is contributing to the research by developing a fatigue model. My hypothesis is that athlete recovery factors like accrued fatigue in-day and cross-day can be used to predict workout log outputs of total tonnage, combination of weight and rep count, and proximity to failure. Eventually I hope to be able to link these recovery factors directly to provide targeted advice about your overall program's effectiveness, deload planning, etc. in order to most efficiently achieve strength, endurance, and hypertrophy goals.

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