Lukas Fisch @codingfisch
Don't panic! Just build! https://t.co/FNuUXBB6HY Joined December 2013-
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Lukas Fisch retweeted
Couldn't agree more with Linus here. Making your code running as fast as possible (or just faster than someone's else code) is the best feeling you can get from programming The issue that it is extremely hard to find the project that will pay you for instruction level efficiency
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Lukas Fisch retweeted
AMD is on a good path. Since signing the contract with them, we're putting the majority of our resources on MI350X software. And I'm sure it's not just us they are working with in this way. Open source will win.
AMD is on a good path. Since signing the contract with them, we're putting the majority of our resources on MI350X software. And I'm sure it's not just us they are working with in this way. Open source will win.
🧐view(your_data) in the terminal🧐 "pip install viiew" for a - colorfull - scrollable - sortable view of your array/Tensor/DataFrame! Supports numpy, pandas, torch, jax & @__tinygrad__ and is tiny: 4.1kB (0 dependencies)!
Lukas Fisch retweeted
Our thesis at Ndea: simple theories should be discoverable using little data and little compute. And everything humans have ever invented is a fairly simple composition of fairly simple theories.
Our thesis at Ndea: simple theories should be discoverable using little data and little compute. And everything humans have ever invented is a fairly simple composition of fairly simple theories.
Lukas Fisch retweeted
Recently, there has been a lot of talk of LLM agents automating ML research itself. If Llama 5 can create Llama 6, then surely the singularity is just around the corner. How can we get a pulse check on whether current LLMs are capable of driving this kind of total…
Lukas Fisch retweeted
We've been negotiating a $2M contract to get AMD on MLPerf, but one of the sticking points has been confidentiality. Perhaps posting the deliverables on X will help legal to get in the spirit of open source!
Lukas Fisch retweeted
NCCL sending the loss value from the last pipeline parallel stage back to rank 0 so the user can print it
NCCL sending the loss value from the last pipeline parallel stage back to rank 0 so the user can print it
Lukas Fisch retweeted
I’m speaking at 2pm on Wednesday at the Upper Bound AI conference. I am in the “business of AI” track, but my talk will be about reinforcement learning research. Video should be available after the conference.
🚀 Release of tinygym: RL in tinygrad 🚀 It learns Pong in 5 minutes on a 3090! Like in flashrl you can ✅ Play against your RL agent ⚔️ ✅ Add your env by adding one .pyx file! Hopefully leads to another RL stream from @realGeorgeHotz @__tinygrad__ github.com/codingfisch/ti…
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