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You're wrong here. Meta has released state of the art open source ML models prior to ChatGPT. I know a few successful startups (now valued at >$1b) that were built on top of Detectron2, a best-in-class image segmentation model.

The first thing the demo told me was that it was in a dark and scary forest.

I love an unhinged AI. The recent model releases have been too tame.

Microsoft Tay : Hello there.

Probably not. It's written in Hack, and heavily tied to internal frameworks, so it'll be practically impossible to extract into a standalone package, unless they do a "clean room" implementation (like they did for Sapling UI https://sapling-scm.com/docs/addons/isl/).

But it has some cool features that notebook developers can take inspiration from.


Yep. Zeus is a fork of Zookeeper, Hack is a fork of PHP, etc. It's usually needed to make it work with the internal environment.

The few things that don't have forks are usually the open source projects like React or PyTorch, but even those have some custom features added to make it work with FB internals.


This is also how things work at Google.

Google also maintains a monorepo with "forks" of all software that they use. History diverges, but is occasionally synchronized for things like security updates etc.


Am I completely off-base/confused thinking that the GFE originally started life (like back under csilver) as a fork of boa[0]?

[0]: http://www.boa.org/


I thought it was GWS that originally started as a fork of boa.

That's it, yes, thank you.

Few companies experienced the explosive growth fb did, though many will claim to have done so. Hack made the existing codebase of php scale to insane levels while reaching escape velocity for the overall company to even attempt to transition away or shrink the php codebase, as i recall (i was an SRE, not a dev)

zeus likewise.


You worked at FB, but you call yourself an SRE, not a PE? ;)

You still call it Facebook?

PEs are still quite new remember....

nit: HHVM was a completely new implementation of a runtime for a PHP-like language, it wasn't a fork of Zend.

As an aside, I haven't seen a .mobi domain out in the wild in the past 6 years.

The article does not make clear whether the photos are used to train recommendation systems (eg newsfeed, ads) or generative image models. The article makes it appear like the latter, but is most likely the former.

Why would it be most likely the former?

In 2018 when the article was written, Jeff was relatively unknown outside distributed research (ie MapReduce) and Google, and Sanjay probably completely unknown.

And they used this PR for what? This isn't a puff piece. Those guys are the real deal.

It elevates Google itself. “It’s a place where people like Jeff and Sanjay work!” Not saying that was the main motivation for producing the article and definitely not trying to question the protagonists’ achievements.

Google is already the most known and respected software company in the world, so I doubt that was the motivation.

You could say that about any article that is even slightly positive about anyone that works for Google. It's an absurd premise. It prevents the telling of stories that have good outcomes.

It elevates a Google of the past, which may no longer exist.

NYTimes games section is more popular than its articles. They're basically a mobile game company that happens to have a news division.

Not to mention they probably have plenty working on internal tooling/data analysis that assists their reporting.

I think people are underestimating how much tech it could take to run a company like the NYTimes.


Guilty. I've done the daily crossword for the last 445 days.

I was concerned you broke your streak on 6/23/23 but I heaved a great sigh of relief when you picked it up again on the 24th

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