Yeah, I was just saying it's a limited number and that the specific number isn't important. The important thing is that there a limited number. That doesn't imply anything about infinity except that infinity is off the table as an option.

I personally feel we need large scale collaboration, not each lab having a small increase. Something like a James Webb telescope or a CERN. If they make a large cluster that's just time shared between labs that's not as useful IMO as allowing many universities to collaborate on a truly public LLM that competes with the biggest private AI organizations.

Is that you Chad?

I don't take any CEO's words at face value without considering the monetary values and incentives behind that tongue.

A large project like this being open-sourced, even if it's a very old or heavily stripped down version, is always a great thing for the community.

Most infrastructure code like computer vision code, device drivers, etc are either not culturally relevant or have little cultural relevance.

I don't think it makes any sense to prioritize them when things like twitter have much more direct cultural impact. It would be great if my network card driver was open source, but does it really matter? Is it worth prioritizing? Will it likely have any cultural relevance? To most people the answer to all these questions is no.

I'm still able to access this link though, even on private browser

Then who did, if not the owner/CEO

>Consciousness is having a subjective experience.

and what's the definition of subjective?

Elon didn’t open source it.

>An aside, if you want a chuckle, search the term "Elon" in the repo:https://github.com/twitter/the-algorithm/search?q=elon

annnnnd.... it's gone

Well devil is in the detail, don't miss the fun part in commit messages :)

Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future.

It's kinda nice to see PageRank is still being used as one of the components of the algorithm

I wonder if this is an effort to save face after the source code leak

Seems to be deleted now, which wouldn't be surprising...

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This quite obviously isn't the repo used by twitter.

It is a pretty large and well put together documentation epic & consolidation of multiple microservices.

Whether the content is 100% reflective of whats deployed is completely unclear. But its not "fake" that's for sure, its genuinely too many man-years of work to not be in-essence real.

Idk man as a fairly well seasoned MLE I find their general architecture and scale of their combined models to be fascinating in-and-of itself.

Twitter sucks ass - but this is a beautiful piece of ML Engineering.

One thing I've seen with these LLMs is that you can prompt them with the classes using sort of a multiple choice style. It would be interesting to experiment with whether this can stabilize the outputs and reduce the amount of out of vocabulary predictions you get

Yup it gets totally discarded. Hopefully, the conditional probability of bird is higher than cat or dog.

What are the dominant methods for solving contextual bandit problems?

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I'm curious to get your thoughts about a simple example where you have three classes: cat, dog, and bird. What happens if the top-1 prediction is "eagle"? Does that probability mass get discarded? Because it should probably go into the bird category

He can’t accept that nobody wants him on their timeline

I think we can safely go with Occam's Razor here. I would assume the "influential celebrity" is the "power_user" type, see: https://i.imgur.com/s6ntUil.png

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Either way, I'm not surprised they are giving tweets from Musk their own type. Why wouldn't they. It probably became necessary to deal with his antics.

However, it does not seem to affect the recommendation algorithm.