12,931 karma · joined June 8, 2009
home page: https://www.xonaspace.com/
[1] https://www.engadget.com/osma-pro-cold-brew-coffee-machine-r...
Trying the examples now, semantic search usually works better. But if I trim extra phrasing (e.g. how do diffusion models work -> diffusion models) they're about the same (but Algolia is much faster).
MER is the right metric for most uses. But for comparing growth no currency conversion is needed, obviously.
In every period to 2023 from 1995 (1995-2023, 1996-2023, 1997-2023 etc) US GDP growth has exceeded EU GDP growth.
US output is 59% higher than in the year 2000. EU output is 36% higher. (Constant local currency data from the respective governments.)
Tweet by one of the creators: https://twitter.com/debfx/status/1777075250364362895
Diamond's book is full of nonsense like this.
Howabout materials? It says this weighs 28 tons and makes 1.2 MW. That's 21g/W assuming a 100% capacity factor, no balance of plant, and assuming those are short tons. Compare to an iPhone 15, which consumes about 1W per 150g in use. That's a materials intensity multiple (EROI estimate) of ~ 7. An average automobile on an average commute dissipates about 67kW, or 27g/W for a multiple of ~ 1.
[1] https://en.wikipedia.org/wiki/Magnet_school
[2] https://en.wikipedia.org/wiki/Charter_schools_in_the_United_...