V699 Now • 100%
love the image
V699 Now • 100%
I logged on and was like wtf because the site still works. Thought my phone was hacked heh
V699 Now • 97%
This is my biggest fear. The hidden weakness of the fediverse is that the largest implementation gets to set the rules of federation
V699 Now • 100%
Self imposed gatekeeping. Damn that's real
Would be kinda cool if there was a system to donate money to a magazine and then have that revenue automatically get split between highly ranked content of that magazine.
V699 Now • 100%
Even if you have money unless you have a job housing is hard to get. I'm currently living out of hotels because I'm unemployed and no one wants to rent to me.
V699 Now • 100%
People over complicate federation. I write federated software so lemme break it down. Federation just means data sharing. When you post something on a federation enabled website it sends a copy of your post to everyone who follows you and tells their service to store your data in their database in addition to their own data. What this means is that you can't just blow up a server to shut it down because everyone in the game has a copy.
V699 Now • 100%
Kbin is a good ui. Lemmy has good data.
V699 Now • 100%
What if we called it kaboomy
V699 Now • 100%
All kbin microblog posts have to be to a magazine. The "profile" magazine is called "random"
V699 Now • 100%
I use the micro blogging feature inside magazines where I'm asking for help that doesn't require a link to anything. It acts like a standard forum in that mode
V699 Now • 100%
I realized why I like kbin more while I was writing a front end for Lemmy. On Lemmy you have very limited control over filtering and sorting e.g
"Top" granularity is only at the day level whereas in kbin you can do hours. Lemmy only has a single "hotness" filter whereas kbin has the same granularity for hotness as it does top.
V699 Now • 100%
Our mayor literally has a town named after his family
V699 Now • 100%
Sitting around waiting for things to compile is one of my least enjoyable life experiences
V699 Now • 92%
I've been using Linux for over 25 years but I hate using it as desktop. Wsl provides a nice environment for development and app running in a Linux environment without sacrificing the manifold reasons for running windows. Since wsl2 Linux gui programs even run natively without having to install an x server
V699 Now • 100%
I was recently diagnosed with a personality disorder. High emotion is a symptom. Might want to talk to a psychologist
V699 Now • 100%
We got the smart people from Reddit
V699 Now • 100%
I believe they recently lowered the limit.
Documentation for GitLab Community Edition, GitLab Enterprise Edition, Omnibus GitLab, and GitLab Runner.
I don't seem to be getting notifications for interactions with my content [\#kbinMeta](https://kbin.social/tag/kbinMeta)
Can you post to multiple magazines at once? [\#kbinMeta](https://kbin.social/tag/kbinMeta)
Why the name "magazine"? a magazine isn't a community [\#kbinMeta](https://kbin.social/tag/kbinMeta)
[\#Feedback](https://kbin.social/tag/Feedback) Please allow us to click through to a link to read article before we read comments. I find myself double clicking a lot just to get to article. [\#kbinMeta](https://kbin.social/tag/kbinMeta)
www.frontiersin.org
Identifying hit songs is notoriously difficult. Traditionally, song elements have been measured from large databases to identify the lyrical aspects of hits. We took a different methodological approach, measuring neurophysiologic responses to a set of songs provided by a streaming music service that identified hits and flops. We compared several statistical approaches to examine the predictive accuracy of each technique. A linear statistical model using two neural measures identified hits with 69% accuracy. Then, we created a synthetic set data and applied ensemble machine learning to capture inherent non-linearities in neural data. This model classified hit songs with 97% accuracy. Applying machine learning to the neural response to 1st min of songs accurately classified hits 82% of the time showing that the brain rapidly identifies hit music. Our results demonstrate that applying machine learning to neural data can substantially increase classification accuracy for difficult to predict market outcomes.
testing federation [@flancian](https://social.coop/@flancian) [\#fediverse](https://kbin.social/tag/fediverse)
finance.yahoo.com
President Joe Biden said on Monday the threat of Russian President Vladimir Putin using tactical nuclear weapons is "real", days after denouncing Russia's deployment of such weapons in Belarus. On Saturday, Biden called Putin's announcement that Russia had deployed its first tactical nuclear weapons to Belarus "absolutely irresponsible".
www.totaltypescript.com
TypeScript 5.2 introduces 'using', a keyword that disposes anything with a `Symbol.dispose` function upon leaving scope, making resource management easier.
I feel like /m/tech is better than hacker news [\#tech](https://kbin.social/tag/tech)