@cHHillee: In modern ML accelerators, FLOPS have absolutely exploded. Often though, the bottleneck is not FLOPS but memory bandwid…
Summary
Thinky identifies human-to-AI bandwidth as a growing bottleneck akin to memory bandwidth issues in ML accelerators, proposing solutions to address this limitation.
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Cached at: 05/13/26, 10:19 AM
In modern ML accelerators, FLOPS have absolutely exploded. Often though, the bottleneck is not FLOPS but memory bandwidth. Similarly, model intelligence has exploded, causing the bottleneck to be human<->AI bandwidth. At Thinky, we think that it’s important to solve this. 1/4 https://t.co/59ViQcj0BF
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