Modern web browser engines are complex beasts, and so is modern web content. The WebKit team delivered massive speedups on the Speedometer 3.0 benchmark. Here's technical deep dive into just a few of the dozens of individual optimizations.

webkit.org/blog/15249/optimizi

In these examples, the cost of the headset is not an issue because if the application is valuable enough to take the users' time, the hardware cost will be a small concern. Software development will be a concern, though, until the right tools are available, I guess.

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New long press release from Apple about : apple.com/newsroom/2024/04/app with several specific examples of real, serious, productive use of VisionOS. The Porsche engineers following a race in real-time video is an interesting example (apple.com/newsroom/videos/appl).

Fits with @mimsical WSJ article from March 29th (wsj.com/tech/personal-tech/app - paywall) about how knowledge workers are a key audience. "I think I've described using the Vision Pro to other people as like, just having an infinite number of iPads to pull out for work," Steve Caruso is quoted in the article.

@lauren Should you explain it...? (What I get from doing NYTimes so regularly.)

@lauren (Nice pun.) However, in the olden days, to compute, we did have to rub two sticks together, just like making a fire...

@mikesax Yes! That’s one of the fun things about it. Imagining the author chuckling as they put them in.

@danb It must be great fun to make them, trying to divert our minds in the wrong direction with misleading pairs.

I just love doing the NYTimes’ Connections game. When playing it I feel like I’m zigzagging around my brain, looking at so many angles and points of view and enjoying the matches (or potential matches). I feel so clear when it all fits into place. Such an inner- and cerebrally-focused thing in today’s externally messed up and stressful world. (I do “cheat” some at times, though, by looking up definitions…)

@danb Traditional search engines have operated in a fairly straightforward model of a value exchange, primarily providing links back to the sites from which information has been gathered. Generative AI systems for all practical purposes are a Take Everything and Give Nothing Back model, either not offering by default useful links back to sources, or making users take extra steps (that they're unlikely to do) to see those links. There simply is no comparison, and in essence these firms have now violated the unwritten understanding which was the basis for their being permitted to access that data in the first place.

@lauren @danb Even before AI, Google has been breaking that deal for a while, since their search result page has scraped answers from sites, so that many users never click a link to go to the sites the answers came from. But at least there were links.

@lauren That's the type of more specific discussion I was looking for. It addresses the history of scraping. Of course, there's nuance in what the search engines do, too, as @not2b points out. Thanks!

@lauren Hmm. A thought: Compare and contrast crawling the web to fill AI's models vs in order to index the web for search (e.g., AltaVista in the 1990's, Google, Bing, et al, since then). I believe there is a difference, but it's worth exploring the intent, expectations (of authors), and how much value (and what type of value) goes to whom.

Joy of being a grandparent: One of my granddaughters showed me her newest prized possession: A Foxtrot comic by @billamend that he signed in front of her at PAX East. I had introduced her to Sunday comics, and especially Foxtrot, a few years before. She ended up buying lots of Foxtrot books. One reason Foxtrot is special to me is because years ago it had one of the earliest times I saw my creation (VisiCalc and its descendants) being referenced in mass media as something accepted. It was a strip where you needed to know at least something about a spreadsheet to appreciate the humor. (The first time I remember was a WSJ editorial.)

Here’s a great video about some of the engineering behind the original Nintendo GameBoy. Lots of fascinating little details presented in a fashion even non-super technical people will enjoy.

(The whole channel is great)

youtu.be/BKm45Az02YE?si=IVaI95

@michaelslade It may be what we have been trained on. Also, it's not just less-sharpness in vision, it's multiprocessing of cues from what we are seeing. In old graphical games terms, as I have found as we age, we can track fewer sprites simultaneously.

@danb I also wonder if older eyes like yours and mine are more susceptible to disorientation. Even if true, for an age agnostic event like sports, there needs to be a happy medium. Leave disorientation to popular music videos.

@michaelslade I wonder, Michael, if it's related to Edward Tufte's teachings about the disruption of context switching. You can switch quickly if it's a logical next step. If you are following a ball left to right and suddenly it's top to bottom without the right type of cues you have to stop and think and reorient. Slow zoom requires little extra thinking.

@danb In the history of visual media this is akin to the popularization of the zoom lens in the ‘60s where there were so many rapid, silly zooms (Laugh In, for example). The serious use of the zoom lens came with shots like the slow push to increase intensity of a scene with the audience not even being aware.

@danb I found the cuts between shots aggressive/disorienting as well. Love the idea of some focus groups here. This felt like a tech demo relative to the other immersive videos they have released so far.

@danb I agree. Some of the shots were amazing. But overall it was a little disjointed and felt too much like a short demo as opposed to telling a sports story.

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