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Not of fan of the company for the social media but have to appreciate all the open sourcing. none of the other top labs release thier models like meta.


> none of the other top labs release thier models like meta

Don't basically all the "top labs" except Anthropic now have open weight models? And Zuckerberg said they were now going to be "careful about what we choose to open source" in the future, which is a shift from their previous rhetoric about "Open Source AI is the Path Forward".


They're not doing it out of the goodness of their heart, they're deploying a classic strategy known as "Commoditize Your Complement"[1], to ward off threats from OpenAI and Anthropic. It's only a happy accident that the little guy benefits in this instance.

Facebook is a deeply scummy company[2] and their stranglehold on online advertising spend (along with Google) allows them to pour enormous funds into side bets like this.

[1] https://gwern.net/complement

[2] https://en.wikipedia.org/wiki/Careless_People


Not even closely OK with facebook. But none of the other companies do this. And Mark has been open about it. I remember him saying in an interview the same very openly. Something oddly respectable about NOT sugar coating with good PR and marketing. Unlike OpenAI.


Well, when your incentives happen to align with those of a faceless mega-corporstion, you gotta take what you can get.


You dont have to thank them for it though.


I spend years working on training these models. Inference is always the fruit. The effort going into getting the data is the most time consuming part. I am not a fan of meta from a long time. But open sourcing the weights help move the field in general. So I have to be thankful for that.


you don’t, that’s true

i prefer to say thank you when someone is doing something good


We can still like it. We're not nominating Nobel Prizes or something.


Among the top 10 tech companies and beyond, they have the most successful open source program.

These projects come to my mind:

SAM segment anything.

PyTorch

LLama

...

Open source datacenters and server blueprints.

the following instead comes from grok.com

Meta’s open-source hall of fame (Nov 2025)

---------------------

Llama family (2 → 3.3) – 2023-2025 >500k total stars · powers ~80% of models on Hugging Face Single-handedly killed the closed frontier model monopoly

---------------------

PyTorch – 2017 85k+ stars · the #1 ML framework in research TensorFlow is basically dead in academia now

---------------------

React + React Native – 2013/2015 230k + 120k stars Still the de-facto UI standard for web & mobile

---------------------

FAISS – 2017 32k stars · used literally everywhere (even inside OpenAI) The vector similarity search library

---------------------

Segment Anything (SAM 1 & 2) – 2023-2024 55k stars Revolutionized image segmentation overnight

---------------------

Open Compute Project – 2011 Entire open-source datacenter designs (servers, racks, networking, power) Google, Microsoft, Apple, and basically the whole hyperscaler industry build on OCP blueprints

---------------------

Zstandard (zstd) – 2016 Faster than gzip · now in Linux kernel, NVIDIA drivers, Cloudflare, etc. The new compression king

---------------------

Buck2 – 2023 Rust build system, 3-5× faster than Buck1 Handles Meta’s insane monorepo without dying

---------------------

Prophet – 2017 · 20k stars Go-to time-series forecasting library for business

---------------------

Hydra – 2020 · 9k stars Config management that saved the sanity of ML researchers

---------------------

Docusaurus – 2017 · 55k stars Powers docs for React, Jest, Babel, etc.

---------------------

Velox – 2022 C++ query engine · backbone of next-gen Presto/Trino

---------------------

Sapling – 2023 Git replacement that actually works at 10M+ file scale

---------------------

Meta’s GitHub org is now >3 million stars total — more than Google + Microsoft + Amazon combined.

---------------------

Bottom line: if you’re using modern AI in 2025, there’s a ~90% chance you’re running on something Meta open-sourced for free.


OSQuery


I dont think it's open source. It says SAM license. Most likely source available.




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