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damn. spatial intelligence can be FAST asf! "D4RT can continuously understand what's moving while running 18x–300x faster than previous methods - processing a 1-minute video in roughly 5 seconds on a single TPU chip."

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Bilawal Sidhu

105,018 subscribers

33,587 görüntüleme • 9 ay önce •via X (Twitter)

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A bear can reach 40 mph, faster than a sports car; running can be fatal. [📹 tom.maley]
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A bear can reach 40 mph, faster than a sports car; running can be fatal. [📹 tom.maley]

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Grok-1 support in gpt-fast at faster(?) than anyone else has reported so far. 75 tok/s for a 300B+ parameter model on an 8xA100 node. If I understand correctly, ColossalAI reported 15 seconds to generate 100 tokens. gpt-fast takes 4.2 seconds to generate *400* tokens.

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SAM + Optical Flow = FlowSAM FlowSAM can discover and segment moving objects in a video and outperforms all previous approaches by a considerable margin in both single and multi-object benchmarks 🔥
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SAM + Optical Flow = FlowSAM FlowSAM can discover and segment moving objects in a video and outperforms all previous approaches by a considerable margin in both single and multi-object benchmarks 🔥

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A mongoose can react to a cobra's strike in just 0.06 seconds, which is faster than the blink of an eye
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Simplex, now running at 200Hz in the commonware Library. Sequence blocks faster than a typical monitor can refresh. Finalize them across a global network in 300ms.
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Simplex, now running at 200Hz in the commonware Library. Sequence blocks faster than a typical monitor can refresh. Finalize them across a global network in 300ms.

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UI selection seems much faster, you can lock in legit 2-3 seconds if you're fast with the selection

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