11,871 karma · joined May 29, 2013
github.com/deegles
(diego at vokkal dot co)
Imagine a 100 car parking lot for an apartment building, if everyone drives 20 miles per day average at an efficiency of 3.5kwh/mile, that's 7 megawatts that needs to be delivered every night or people can't get to work (assuming load balancing chargers). That seems like a lot. Multiply that by several buildings in a block plus the charging equipment for each parking spot... The money needs to come from somewhere.
I assume it would only work well in places where there are significant humidity swings, I didn't read the paper very carefully though.
https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.202300...
Finetuning seems to be a solution, but there is still the issue of the LLM not really "learning" facts.
What's the latest on actually adding knowledge to an LLM?
All of Texas (30m) could live in a high density city the size of Tokyo. Which is huge, but not as huge as the rest of Texas.
Rolls MX51S Mini Mix 2 Four-Channel Mixer https://a.co/d/48XLqLi
USB to RCA https://a.co/d/iam01Xj
Bluetooth 5.0 Transmitter 3-in-1 https://a.co/d/47TuAMn
I believe that no single person sits down and says "let's make kids get addicted to our product," but they do run A/B tests or new features and keep the better performing variant. The end result of many of these cycles is the same.