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My email is such a cluster of noise. The only time i actually use it is to find out I have to do my security training or something. All communication is slack now days.
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Amy Schumer Reveals Cushing syndrome Diagnosis Following Fan Discourse on Puffier Face | THR News Video
Amy Schumer revealed she has been diagnosed with Cushing syndrome following social media comments about her recent appearance. Schumer revealed the news in journalist Jessica Yellin’s newsletter ‘News Not Noise.’ The actress said, “I feel reborn…There are a few types of Cushing. Some that … ⌘ Read more
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The Universe’s Background Noise with Neil deGrasse Tyson ⌘ Read more
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How to communicate like a GitHub engineer: our principles, practices, and tools
Learn more about how we use GitHub to build GitHub, how we turned our guiding communications principles into prescriptive practices to manage our internal communications signal-to-noise ratio, and how you can contribute to the ongoing conversation.
The post [How to communicate like a GitHub engineer: our principles, practices, and tools](https://github.blog/2023-10-04-how-to-commu … ⌘ Read more
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@wincent@twtxt.net I had one of those blade servers some years back, I could not have it in my house, crazy noise level on those. I almost build a box for it outside the house, haha.
@wincent@twtxt.net No, they are not noisy. I have one of these my self as well, and it does not make much noise (can sleep in the same room). They are not like rack servers with turbo fans, hehe.
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I played around with parsers. This time I experimented with parser combinators for twt message text tokenization. Basically, extract mentions, subjects, URLs, media and regular text. It’s kinda nice, although my solution is not completely elegant, I have to say. Especially my communication protocol between different steps for intermediate results is really ugly. Not sure about performance, I reckon a hand-written state machine parser would be quite a bit faster. I need to write a second parser and then benchmark them.
lexer.go and newparser.go resemble the parser combinators: https://git.isobeef.org/lyse/tt2/-/commit/4d481acad0213771fe5804917576388f51c340c0 It’s far from finished yet.
The first attempt in parser.go doesn’t work as my backtracking is not accounted for, I noticed only later, that I have to do that. With twt message texts there is no real error in parsing. Just regular text as a “fallback”. So it works a bit differently than parsing a real language. No error reporting required, except maybe for debugging. My goal was to port my Python code as closely as possible. But then the runes in the string gave me a bit of a headache, so I thought I just build myself a nice reader abstraction. When I noticed the missing backtracking, I then decided to give parser combinators a try instead of improving on my look ahead reader. It only later occurred to me, that I could have just used a rune slice instead of a string. With that, porting the Python code should have been straightforward.
Yeah, all this doesn’t probably make sense, unless you look at the code. And even then, you have to learn the ropes a bit. Sorry for the noise. :-)
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@bender@twtxt.net I do not like that either. too much noise there. Does not feel meaningful in any way yet.
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A smarter, quieter Dependabot
Dependabot is getting a little smarter—and, a little quieter—by reducing bot-based noise from repositories based on your interaction with Dependabot. ⌘ Read more
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What Actually Is White Noise? | Neil deGrasse Tyson Explains… ⌘ Read more
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