V699

joined 1 year ago
[–] V699@kbin.social 4 points 1 year ago

love the image

[–] V699@kbin.social 2 points 1 year ago

I logged on and was like wtf because the site still works. Thought my phone was hacked heh

[–] V699@kbin.social 31 points 1 year ago (1 children)

This is my biggest fear. The hidden weakness of the fediverse is that the largest implementation gets to set the rules of federation

[–] V699@kbin.social 9 points 1 year ago

Self imposed gatekeeping. Damn that's real

[–] V699@kbin.social 2 points 1 year ago

the at protocol is federated under the hood. they just use data brokers so it's more centralized, but it's still decentralized in that you can run your own data broker and communicate with the network. i feel like they get the best of both worlds

[–] V699@kbin.social 1 points 1 year ago
[–] V699@kbin.social 1 points 1 year ago

oof this is too real lol

[–] V699@kbin.social 2 points 1 year ago (1 children)

I've seen people talk this way about lemmy on a kbin magazine heh

[–] V699@kbin.social 4 points 1 year ago (3 children)

this is one thing I feel like bluesky got right. it's decentralized but "feels" like a monolith

[–] V699@kbin.social 2 points 1 year ago (1 children)

What's a modlog?

 

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.

 

Documentation for GitLab Community Edition, GitLab Enterprise Edition, Omnibus GitLab, and GitLab Runner.

 

Image upload isn't working for me

#kbinMeta

 

I don't seem to be getting notifications for interactions with my content

#kbinMeta

 

Can you post to multiple magazines at once?

#kbinMeta

 

Why the name "magazine"? a magazine isn't a community

#kbinMeta

 

#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

 

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

#fediverse

 

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".

 

TypeScript 5.2 introduces 'using', a keyword that disposes anything with a Symbol.dispose function upon leaving scope, making resource management easier.

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