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  • Hacker News
  • Sad. I thought Meta did a lot of things right when it came to using engineers, especially compared to Google. If I had a choice between React (Facebook) and Kubernetes (Google) I would pick the former anyday.

    Kubernetes has held back cluster technology for the last decade and prevented a better alternative for smaller companies or companies that can't piss away monopoly profits on unwieldy technology and process. It would have been much better had somebody tried to make an open source product based on IBM's old Parallel Sysplex but there gotta be patents in there (now expired though!)

    As much as people like to complain, React has come out on top in a highly competitive market. I've looked at a lot of systems for building UI objects which look superficially similar like Microsoft's XAML and Oracle's FXML and React's system is by far the most simple and flexible... An example that shows you can apply the ideas in On Lisp to any language which has basic functional programming practices with just a tiny compiler tweak on top to make it fluent.

  • Facebook and Instagram are such strong businesses that they could completely stop development work and the businesses would still be unbeatable monopolies for years to come.

    But what I don’t understand is how screen recording / keyboard recording is useful AI training data?

    It seems like a lot cost and a lot of pissing off people for something that is actually not very valuable.

  • On a complete tangent: there's a drawing of an iceberg halfway through the article, the typical vertical shape with 10% above the surface. It turns out that icebergs don't float that way; they rotate until they are mostly horizontal. It's one of those things that once I found out, I see wrong icebergs everywhere.

    For details, read the article https://axbom.com/iceberg/ and try the iceberg simulator https://joshdata.me/iceberger.html or read the tweet that started it https://xcancel.com/GlacialMeg/status/1362557149147058178

    by kens
  • Lots of people blame Zuckerberg, but my own view aligns with the author in that much of this is falls on Alexandr Wang's shoulders (Scale AI's founder). It's perhaps somewhat ironic that the "MEI" guy (Merit, Excellence, Intelligence) was permitted to poach high-performing subject matter experts from key engineering orgs and reassigned them to data labeling - something that, let's be honest, is not where you want to allocate your top performers at an org like Meta.

    This is one of those things where a (tech) celebrity founder was permitted to blew up a high-performing engineering culture. If shareholders knew the nuances of this they'd demand his ouster. His leadership has been lacking in merit, excellence, and intelligence.

  • > 30-50% of engineers on core teams have been forcefully reassigned to data labeling and RLHF, upsetting folks even more.

    This really doesn't sound believable to me, but who knows with all the craziness going on. Software developers in the US are seriously expensive, using them for data labeling would be a waste of resources. And the percentage sounds very high, unless "core teams" is only a small subset of the total developer count.

  • I do think you have to admire how almost comically insane Zuckerberg is to do stuff like this. If Facebook was being run by someone normal what would happen is it would spend the next 20 years pissing away everything slowly as social media advertising became less and less relevant. But not with Zuckerberg at the helm. He will burn that place to the ground trying to find some way to remain important. Its surprising that people working there apparently thought they weren't going to get burned.
  • I think the gloating in this thread is very misguided. Meta is evil, sure, but that's not the point. The point is that this kind of AI psychosis might be the new normal for our industry, or at least one of the new normals. My last workplace absolutely did a jump in toxicity when the CEO got obsessed with AI, instituted token leaderboards, told us all to drop all non-AI work for a time, etc. We were no Meta.
  • Having worked at meta, something I noticed is that the orgs that were well run were ones that were bought. WhatsApp, reality, insta, etc. I worked in an org that was not associated with those products and was purely homegrown and it was awful. Things got done but horribly inefficiently due to over hiring and extreme requirement and schedule shifts.

    I believe that the cultures that were developed outside of Meta are used to launder the image that meta as a whole has a good engineering culture.

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