Extropic publishes its thermodynamic computing case as AI power demand climbs
Guillaume Verdon's hardware startup is building probabilistic chips and new algorithms rather than accelerating transformer math.
By Ryan Merket · Published
Primary source: X
Why it matters
Extropic is testing whether AI's power constraint can create room for a new computing architecture, but its 10,000x result still comes from a simple benchmark and modeled hardware.
Guillaume Verdon (@GillVerd), the physicist who founded Extropic after working on quantum machine learning at Google and Alphabet's X, published a native article on X on July 29th as Extropic presses its case for rebuilding AI computing around thermodynamics.…
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