It's pretty sad that Apple's app review doesn't include checking to make sure an app isn't impersonating an existing popular app. Especially for crypto/financial apps!
I've used Linux on desktops/laptops intermittently since the year 2000, but I've been using mostly MacOS in recent years. With Apple not inspiring confidence lately, I wanted to try using Linux as a daily OS again. So I installed Fedora on a laptop last month. After installation I noticed that the colors on my OLED display were very oversaturated. After some frustrating attempts to get ICC profiles working, I was dismayed to read this:
Sounds like Wayland color management is... almost done? But the lack of a complete implementation didn't stop my distro from making Wayland the default. So now I'm left having to choose between using the cool new Wayland compositors and having accurate colors in my photo editing apps :(
The procession of screenshots showing the Pages toolbar changing over the years is incriminating. For years the UI has been sliding in the direction of being simpler and (arguably) prettier, at the cost of being harder to understand and use. But all of the designs through Big Sur seem to at least be usable, even if they were making compromises to UX for the sake of clean-looking design.
And then you get to Tahoe and both the UX and visual design completely fall apart. The separation between chrome and content is literally blurred, and the visual hierarchy is unclear. (Are the buttons on the right part attached to the top toolbar or the sidebar? There's no way to tell!) It doesn't look clean, it's just a mess.
The Adobe DNG standard for raw camera images is based on TIFF as well. DNG is used in lots of places, including the raw capture support built into all modern iOS and Android smartphones.
I’ve been using both TIFF and DNG this very week in my work (https://filmlabapp.com), so I was happy to read this post and learn about Steve Carlsen aka Mr. TIFF, whose work we’re still building on 39 years later.
Ha! The article made me imagine a scene like this one in Sneakers, where over the course of dinner someone tricks their target into saying the complete set of training phrases for one of these iPhone voices. But then I realized that if the goal was to impersonate someone's voice, they'd probably just use a different voice model that was more flexible about its training data.
I read this article and was surprised it was written yesterday because I could have sworn I read it a few months ago. Turns out I was remembering a post by a different author making the same arguments, discussed on HN here: https://news.ycombinator.com/item?id=32807969
Discussions of photographic materials usually use density instead of opacity. Density is a logarithmic value equal to -log10(transmission), where transmission is the amount of light passed through (or reflected) on a scale of 0 to 1.
So to give some examples, a material with 100% transmission would have a density of 0, a material with 10% transmission would have a density of 1.0, and a material with 1% transmission would have a density of 2.0.
Density values have some advantages, including:
- They can be combined with simple addition
- Compared to transmission or opacity values, they correspond more closely to human visual perception
Develop and Fix, Inc. is seeking an AI/ML expert to help us train and deploy machine learning models for identifying, analyzing and segmenting scans of photographic film.
Our app FilmLab is used by film photographers and archivists for digitizing film negatives. There are a number of tasks that we believe can be automated with machine learning. We're looking for a freelancer who can help us get our first ML features built and deployed. If you have experience developing and deploying machine learning models, especially related to image recognition and segmentation, we'd love to talk to you.
To apply, please send an email to [email protected] with a brief description of your experience, rates, and availability. Thanks!
I find Apple's suggestion to use Siri to control the volume on the AirPods Pro [0] to be worse than some of the ideas on that page. The idea of having a spoken conversation in public in which I must request a volume change via a branded AI (and then repeat that request multiple times if necessary to reach my desired volume) just feels humiliating.
It would be interesting to get the stats on fumbles during kickoff/punt returns (when a neutral kicking ball is in use, not a team-supplied offensive ball), and on plays involving interceptions or fumble recoveries (where they would be using the other team's ball). If they rank highly in fumble prevention in those situations, it would suggest that this is a result of coaching, not using a particular ball.