ChatGPT is impressive but it makes a lot of mistakes. Siri can't afford that rate of errors for PR and legal reasons, so they need to use a technology that's less flexible but more reliable / safer. This is similar to self-driving cars: it's relatively easy to come up with a proof-of-concept but making it into a safe mainstream product is a different story.
The title of this submission is editorialized and misleading. @dang, please change to the original title "Three Lessons from Threema -- Analysis of a Secure Messenger".
How does this differ from the Notes app which has many (most?) of the features in the description? Is Freeform just supposed to make these features more discoverable?
Sounds promising, thanks. The most annoyingly slow thing is the agenda buffer which takes ages to build. (Have to admit that the files from which it is sourcing entries are humongous after 15 years of managing my life with org mode.)
I'm building from source because I want the latest features and bug fixes. It's really not that complicated. On Ubuntu, the following builds and installs Emacs into your home directory:
You say "it just isn't accessible to [you]". If I'd install vanilla Emacs today or one of those distros, I'd probably feel the same, i.e. that Emacs is not for me. However, what makes Emacs great is that I can make myself at home in Emacs and design everything the way that works best for me personally, even if that is perhaps highly idiosyncratic. So my advice would be: Install Emacs and if there is something that you don't like, don't ask what you're missing, but simply change it. One thing I hated about Emacs were the RSI-inducing keybindings. And this is how I became one of the first 5 users of evil-mode (which provides vim keybindings). Over the last 15 years my Emacs config has grown to 4k+ lines and that seems bizarre, but the result is an editor that works really well with my personal way of thinking. It almost feels like an extension of my body, which means that I use it without thinking about it. It gets out of my way cognitively and doesn't add extra friction to my work which is already complicated enough. That's worth a lot to me.
I moved to Mastodon for political / philosophical reasons (I favor decentralized infrastructure, grass-roots initiatives, libre software, etc.) but I'm staying ... because the content is better. On Twitter I get memes, drama, crypto scams, politics, tons of content from people that I'm not following, and, did I mention memes? On Mastodon I find precisely the stuff that I was hoping to find on Twitter when I joined 10 years ago: information from experts about the things they are experts on. Is Mastodon going to replace Twitter? I hope not! I see Twitter's role as giving a home to junk content, so that people in other places like Mastodon can have a some fun.
I think a lot of packages are not yet using threads. And to be honest, I'm a bit scared of packages starting to use threads because there are a million ways in which you can mess up with threads especially given Emacs’ architecture. What if two threads start manipulating the same buffer? Emacs wasn’t built with these scenarios in mind. But perhaps I'm too pessimistic and there are good answers for that.
I did some experiments and posted the same content on Twitter and Mastodon. I got 50% more engagement on Mastodon, despite the fact that I have 5 times more followers on Twitter. Engagement per follower was therefore 7.5 higher on Mastodon. This is my academic bubble. In other areas, the numbers will look different, of course. But it shows that your general claim of no engagement is simply wrong.
Causality also doesn't need to be unidirectional. Perhaps cognitive performance has an impact on video gaming, but video gaming likely also has some impact on cognitive performance.
I exchange e-mails with people who don't use Gmail and it's pretty reliable. Let's not pretend that Google is the only company who knows how to run a mail server. In fact I have more problems with e-mails coming from Gmail accounts (low quality text/pain, broken threads, etc.).
I use Emacs for everything except web-browsing. Performance has never been a major concern for me. When Emacs is slow it’s almost always due to a faulty configuration. E.g., spellchecker configured to run is gigantic .csv files and similar. When native compilation dropped a while ago, Emacs became technically 2-4 times faster but I hardly noticed it. I think the perception of Emacs being slow is 90% due to the Spacemacs distro. But Doom or hand-written configs should be fine.
Hasn’t Cardano already shown that POS works and it did not have the effect that you predict? I’m afraid most people in the crypto world don’t care one bit about the carbon foot print of these technologies.
Power analyses for repeated measures designs are usually done with Monte Carlo simulations: you generate fake but plausible data sets with a hypothesized effect size, then analyze these data sets and count how often the effect is detected.
I agree that N=34 seems low. The effect would have to be quite large to be detected and there may be a risk of Type M (magnitude overestimated) and Type S (incorrect sign) errors. The results should therefore be interpreted in the light of a power analysis.
Completely unsurprising. The bottleneck in reading is not visual recognition of words or eye movements. Source: decades of actual research on this topic.
The fact that GitHub charge only 10$/month suggests that they themselves don’t believe in their product. Because if it would actually work, i.e. speed up software development by, say, >10%, developers should be happy to pay 10 times as much or more.