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JAX

trend score: 0.50
sources: 3
mentions: 3

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1.32B steps1
13ish GPU hrs1
1B tokens1
2.5ish days1
AI Agent1
C++1
Claude Opus 5.51
CPU benchmarks1
CUDA1
data1

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Latest articles

Deepity: a hand-tuned C++/CUDA predictive coding library, beats jpc (JAX) and ngc-learn on MNIST (CPU benchmarks + source inside) [P] (opens in a new tab)
r/MachineLearningOct 26
Released: A JAX-native stream learning engine with Mondrian tree routing that processes data 50x faster and cuts memory nodes by 3x. (opens in a new tab)
r/deeplearningOct 26
Inspired by u/Gold-Deal8281's post, I decided to see if Opus 5.5 could build a JAX based env for "Getting over it" with enough parity to transfer to the real game. 2.5ish days, ~13ish GPU hrs on a 3090, and 1.32B steps, and 1B tokens later, the agent wins ~85% of its rounds. (opens in a new tab)
r/reinforcementlearningOct 26

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