AI supercomputing — the art of coaxing mind-boggling numbers of machines to perform their part of a single precisely-orchestrated computation — presents both the hardest & most rewarding technical challenge I've ever worked on.

Feb 15, 2022 · 4:37 PM UTC

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Replying to @gdb
Wow! Congrats on this. It's never easy to achieve faster gradient synching when distributed data parallel training is done across 100s of GPUs. At Q Blocks we are after one of such problems but across a decentralized network of nodes. This just ups the challenge by 100x
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Replying to @gdb
spectra.mathpix.com/article/…

Spectra

Publishing platform for STEM authors.

spectra.mathpix.com
Replying to @gdb
Lucky man!
Replying to @gdb
With nothing but ones & zeros...
Replying to @gdb
Here you have a mix between quantum circuits and DNA... opensea.io/assets/matic/0x29…

Quantum circuit from DNA - Translating DNA sequences to quantum circuits

in the beginning of time, all places were the same and the only rule to exist was not to belong

opensea.io
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Replying to @gdb
Have you checked out AI/Machine learning using a decentralized edge network? Check out @Theta_Network