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2.5M views
Leaving Meta and PyTorch
I'm stepping down from PyTorch and leaving Meta on November 17th.
tl;dr: Didn't want to be doing PyTorch forever, seemed like the perfect time to transition right after I got back from a long leave and the project built itself around me.
Eleven years
1.2M views
apparently Google laid off their entire Python Foundations team, WTF!
( @SkyLi0n who is one of the pybind11 maintainers just informed me, asking what ways they can re-fund pybind11)
The team seems to have done substantial work that seems critical for Google internally as well.
694.7K views
Can finally talk some GPU numbers publicly 🙃
By the end of the year, Meta will have 600k H100-equivalent GPUs.
Feel free to guess what's already deployed and being used 😉!
583.6K views
If you have questions about why Meta open-sources its AI, here's a clear answer in Meta's earnings call today from @finkd
📊 Post performance
🔥 Top post: i might have heard the same 😃 -- I guess info like this is passe · 2.6M views
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Leaving Meta and PyTorch
I'm stepping down from PyTorch and leaving Meta on November 17th.
tl;dr: Didn't want to be doing PyTorch forever, seemed like the perfect time to transition right after I got back from a long leave and the projec…
I love how @FFmpeg is conducting themselves online.
It's a project that's created billions of dollars in actual value and has captured practically none of it.
Their stance seems to be simple: fund substantial development or STFU with the…
i'm comically impressed that people are coping on deepseek by spewing bizarre conspiracy theories -- despite deepseek open-sourcing and writing some of the most detail oriented papers ever.
read. replicate. compete.
don't be salty, just ma…
@francoisfleuret There's three parts.
1. Fitting as large of a network and as large of a batch-size as possible onto the 10k/100k/1m H100s -- parallelizing and using memory-saving tricks.
2. Communicating state between these GPUs as qui…
apparently Google laid off their entire Python Foundations team, WTF!
( @SkyLi0n who is one of the pybind11 maintainers just informed me, asking what ways they can re-fund pybind11)
The team seems to have done substantial work that seems c…
Here's details on Meta's 24k H100 Cluster Pods that we use for Llama3 training.
* Network: two versions RoCEv2 or Infiniband.
* Llama3 trains on RoCEv2
* Storage: NFS/FUSE based on Tectonic/Hammerspace
* Stock PyTorch: no real modificat…
Based on all the user-request videos that @sama's been posting, it looks like sora is powered by a Game Engine, and generates artifacts and parameters for the Game Engine. 🤔
If you have questions about why Meta open-sources its AI, here's a clear answer in Meta's earnings call today from @finkd
Can finally talk some GPU numbers publicly 🙃
By the end of the year, Meta will have 600k H100-equivalent GPUs.
Feel free to guess what's already deployed and being used 😉!
PyTorch's design origins, its connection to Lua, its intertwined deep connection to JAX, its symbiotic connection to Chainer
The groundwork for PyTorch originally started in early 2016, online, among a band of Torch7's contributors.
Tor…
No More GIL!
the Python team has officially accepted the proposal.
Congrats @colesbury on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make…
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Estimated- Est. 85% real, active audience · Low fake-follower risk.
- Engagement (~1.8× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (17+ years old).
- 0.97% engagement — below the ~2.2% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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