Aside from the article's content, I really like the inline exercise for the reader with the hidden/expandable answer section. It's fun and it successfully got me to read the proceeding section more closely than I would have otherwise.
+1 to the Voyager. I switched to it a few years ago from the Moonlander and have been really happy with it. I like the smaller footprint, and the fact that it has fewer keys. Having fewer keys has forced me to create layers that keep everything within a closer reach so I'm stretching my fingers out to the edge keys less than I did with the Moonlander.
I split my time about 50/50 between the Voyager and my macbook's keyboard and mostly have no problem with the difference in layouts, but I wish I could set up layers on the macbook keyboard the same way I can with the Voyager.
You can do some of it with Karabiner Elements and/or Kanata, but I don't think it's quite as good. I couldn't get the timing working as well with those so the layers were more trouble than they were worth.
> if that wide shelf will mean the phone doesn't wobble when placed on a table, that is a good usability improvement.
That's what I had hoped too, but from the images I've seen it looks like the cameras themselves bump out past the shelf far enough that it will still wobble.
They're actually not videos! They're using asciinema: https://asciinema.org/, which is rendering actual text in the webpage - try selecting some while the recording is playing.
I was surprised by this too! I actually did a search for that character in order to check before posting this: https://hn.algolia.com/?q=%E2%87%84
I was a bit concerned that HN's algorithm might down-weight posts with non-ASCII characters in titles to discourage people from trying to attract attention with them, but it seems like it's fine?
I suspect that the strategy I've described in my the post (forwarding a signed email with some modified headers) isn't actually new, and that it's just the first time I've looked closely enough to become interested in how it works.
The whole "put a misleading string in the PayPal name field" thing may be new.
> How would they even validate their new attack vector? I would like to think that there’s scam A/B testing or something similar…
I'm curious about that as well. My guess is that there's nothing as sophisticated as A/B tests with measured results going on, but I'd love to learn more.