Discover more from Inefficiency
Things I read last week… (WB 7 Mar 2022)
How symbolic AI could help push deep learning past its limits.
“Software is famously eating the world, but Shenzhen is, too. The faster hardware cycle times get, and the more amenable they become to orchestration at the speed of software cycle times, the more entirely offline processes will migrate to this sort of hybrid existence.”
Lessons from Google’s TPU.
“Take the nucleus of an atom. It is made up of protons and neutrons. If we add or take away a neutron, it changes absolutely everything. It is no longer the same atom, and its properties will completely change. The lifespan of nuclear waste is fundamentally changed, and we could cut this from a million years to 30 minutes!”
Using high-powered lasers to deal with nuclear waste.
Interview with MicroStrategies’ Michael Saylor. [YouTube]
The science of cardboard. [YouTube]
Historian Bret C Devereaux’s primer on protracted war.
Roland 50 Studio, a digital celebration of 50 years of electronic synths.