I’m thankful that Meta still contributes to open source and shares models like this. I know there’s several reasons to not like the company, but actions like this are much appreciated and benefit everyone.
Meta took the open path because their initial foray into AI was compromised so they have been doing their best to kneecap everyone else since then.
I like the result but let’s not pretend it’s for gracious intent.
The retort was essentially "Can't you just be nice?" but people have the right to ask questions; sometimes the questions reveal much corruption that actually does go on
Yes, the 99% did NOT go straight into non-profits, instead being funneled into his foundation, which has donated millions into actual charitable organizations, but that's arguably millions that wouldn't have otherwise gone to those orgs.
Is it a bit disingenuous to say he's donating 99% of his wealth when his foundation has only donated a few hundred million (or few billion?), which is a single percent of his wealth? Yeah, probably. But a few billion is more than zero, and is undeniably helpful to those organizations.
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.
i prefer to say thank you when someone is doing something good
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)
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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
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PyTorch – 2017 85k+ stars · the #1 ML framework in research TensorFlow is basically dead in academia now
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React + React Native – 2013/2015 230k + 120k stars Still the de-facto UI standard for web & mobile
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FAISS – 2017 32k stars · used literally everywhere (even inside OpenAI) The vector similarity search library
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Segment Anything (SAM 1 & 2) – 2023-2024 55k stars Revolutionized image segmentation overnight
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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
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Zstandard (zstd) – 2016 Faster than gzip · now in Linux kernel, NVIDIA drivers, Cloudflare, etc. The new compression king
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Buck2 – 2023 Rust build system, 3-5× faster than Buck1 Handles Meta’s insane monorepo without dying
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Prophet – 2017 · 20k stars Go-to time-series forecasting library for business
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Hydra – 2020 · 9k stars Config management that saved the sanity of ML researchers
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Docusaurus – 2017 · 55k stars Powers docs for React, Jest, Babel, etc.
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Velox – 2022 C++ query engine · backbone of next-gen Presto/Trino
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Sapling – 2023 Git replacement that actually works at 10M+ file scale
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Meta’s GitHub org is now >3 million stars total — more than Google + Microsoft + Amazon combined.
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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.
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".
[1] I didn't take them up on the offer to interview in the wake of that and so it will be forever known as "I've made a huge mistake."