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Twitter's Recommendation Algorithm

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Re: Twitter's Recommendation Algorithm

#991

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Maybe it's weird, but for all the work I have ever done, I have never used CI/CD in the way that it was meant to be used, or never really leveraged it. Maybe all of my past jobs were unprofessional, but like, I see a lot of jobs using "CI/CD experience required" and I think... huh I wonder if they actually do it

Wait so you just merge right into prod? That sounds scary. The thing I work on runs like tens of thousands of tests on large PRs. It's reassuring but sometimes annoyingly slow.

Hah no we don't just merge right into prod. Typically a feature branch, then testing and merging, and then pre-release testing.

Re: Twitter's Recommendation Algorithm

#992

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Maybe it's weird, but for all the work I have ever done, I have never used CI/CD in the way that it was meant to be used, or never really leveraged it. Maybe all of my past jobs were unprofessional, but like, I see a lot of jobs using "CI/CD experience required" and I think... huh I wonder if they actually do it

I wouldn't say it's necessarily weird, and I'd never call it unprofessional, but I have also been using CI of some shape or form since I entered the industry in the '00s. From home brewed scripts that were cobbled together internally, to CI servers on-prem, to CI servers in the cloud, and now back to on-prem. At work, I am literally in the middle of a massive migration of my teams multiple CI servers. We have dozens,…

maybe I just get hung up on the "professional" aspect. I'd say for the most part I've always had some form of testing, just nothing that ever fit neatly into something like gitlab or github's CI/CD products.

Re: Twitter's Recommendation Algorithm

#993
post #294

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Care to comment on this? [0] Surely Twitter hasn't open sourced and released the recommendation algorithm as you predicted right? Or perhaps when a prediction didn't go according to plan, let us complain about another thing... [0] https://news.ycombinator.com/item?id=35213705

He's not going to fuck you.

Says the one who cared to comment in the first place, 16 days ago and you getting angry after taking a simple joke too seriously after the fact that Twitter open sourced it's algorithm.

HNer's like you just make me laugh all the time with silly replies like that just being unable to cope.

Re: Twitter's Recommendation Algorithm

#994

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Or an alternative view: no matter what he does there will always be haters and there are massive (political) incentives to destroy his public persona. Those incentives also align nicely with those of hedge funds that are short TSLA as well as family offices that are short Tesla (hello Billy boy Gates).

> ... no matter what he does there will always be haters. Yes. Why? Because he's an jerk that deserves it. He's done and said enough dumb shit that people should take him with an ocean's worth of salt.

He's also said... extremely smart things? And built amazing things?

Re: Twitter's Recommendation Algorithm

#995
post #813

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Or an alternative view: no matter what he does there will always be haters and there are massive (political) incentives to destroy his public persona. Those incentives also align nicely with those of hedge funds that are short TSLA as well as family offices that are short Tesla (hello Billy boy Gates).

Or, hear me out, maybe he is just a terrible person with some insane level of narcissism who will talk shit about everything without being half competent at that, and recently the consequences of his very own shitty decisions have been catching up to him. You can be only so stupid to acquire Twitter overpriced and drive it to the ground, there is no need for “political incentives”, when he is quite good at destroying…

Name 1 Musk company that failed? Incompetent how?! If Musk is considered incompetent, I might as well drop whatever I'm doing forever because I'll never ever even come close?

Driving into the ground? Sounds like pure speculation based on nothing as long as Twitter isn't bankrupt?

You don't like Musk. OK, fine, you're allowed not to like him, but I don't get your reasoning.

Re: Twitter's Recommendation Algorithm

#996

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Or an alternative view: no matter what he does there will always be haters and there are massive (political) incentives to destroy his public persona. Those incentives also align nicely with those of hedge funds that are short TSLA as well as family offices that are short Tesla (hello Billy boy Gates).

You can't argue this alternative view in good faith because he now has such a long record of pulling the wool over people eyes. Its just mainstream now and so it looks likes its partisan but to be honest people in the legacy auto and space industry have been screaming from the rooftops for years but no one listened to them.

Any substantiation? Pulling the wool over people's eyes? Like what? Missing planned deadlines?

What where they screaming from the rooftops and how was he wrong?

Re: Twitter's Recommendation Algorithm

#997

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Seems dumb of them. Cost is trivial and their competition that isn’t so politically motivated will have a much further reach. The smart move would be silent on the policy change, pay, and support rival platforms as they can. Instead they will eventually pay and look like they lost.

> Seems dumb of them. Cost is trivial and their competition that isn’t so politically motivated will have a much further reach. It's wild hubris for twitter to try to invoice/penalize the very users and organizations that make twitter anything but insolvent. There should be money exchanged here, but it should be flowing generously and most importantly in the other direction .

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Re: Twitter's Recommendation Algorithm

#998

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Eh, 1 is sort of why I see implicit negative feedback as more useful here. Namely, tracking the duration a user is probably giving their attention to a given item, weighted in accordance with how long you'd expect someone to give their attention to an item based on how long it is. For example, I might see a some specific word or pattern of words in a tweet and quickly skip to the next one. That's very low friction bu…

> Namely, tracking the duration a user is probably giving their attention to a given item, I pay a lot of attention to classes of things I don't want to see at all .

Then, according to the algorithm, you do want to see them.

Re: Twitter's Recommendation Algorithm

#999
post #60

Context: I teach at Princeton and study social media and recommendation systems. From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are…

Did you also skim the accompanying (or rather, main) repo, https://github.com/twitter/the-algorithm ? From a quick clone and line-count, it has: 235 kLOC .scala 136 kLOC .java 22 kLOC .py 7 kLOC .rs So I don't think you did, since you posted so quickly and that's a LOT of code. I also haven't skimmed this code except very superficially, but perhaps you should since you're out there making statements with your Princet…

I think you misunderstood. He's saying the training models are not there.

Re: Twitter's Recommendation Algorithm

#1000

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The vast majority of self-proclaimed independents vote with one party just as reliably as registered members.

Majority? Probably. Vast majority? No way. If that were true we'd not keep switching parties between presidents. And Florida, a mostly independent voter state, wouldn't have had DeSantis win in a landslide when he just barely tied last time around.

That's attributable to turnout.

You tell me if 90% is a "vast" majority or not. https://www.pewresearch.org/politics/2019/03/14/political-in...

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