weew
Had a friend, super advanced in math/science. Basically finished high school in 2 years, went to university at 14/15, took computer engineering or some similar hard STEM program, was a teaching assistant tutoring people older than him, snuck into the university bars a few times showing his student ID while he was underage because his many people expect a 17 year old graduate student?
Anyways he became a pastor.
Easy, because over here it’s already dark at 4pm.
I always do early voting. Usually no wait but unfortunately I picked a sunny weekend day to do it once, had to wait 15 minutes.
Thank goodness
First one that someone bought for me: Riva TNT2
First one I bought myself: ATI Sapphire 9600 pro
Who cares if they release a new one every year? Just buy a new phone when you actually need one.
Instant Pot.
Apparently they went bankrupt because they built their units too well. Everyone bought one and never needed to buy a replacement.
Like I said, the argument is that if AI vision is actually solved, at that point it’s like walking with perfect vision and a blind cane.
LIDAR’s true strength isn’t even useful for driving at speed. LIDAR is super precise - useful for parking perhaps, but when driving at 50km/h or faster, does it really matter if the object in front is 30.34m ahead or 30.38m?
Also, the main problem with LIDAR is that it really doesn’t see any more than cameras do. It uses light, or near-visible light, so it basically gets blocked by the same things that a camera gets blocked by. When heavy fog easily fucks up both cameras and LIDAR at the same time, that’s not really redundancy.
I’d like to see redundancy provided by multiple systems that work differently. Advanced high resolution radar, thermal vision, etc. But it still requires vision and AI 100%: the ability to identify what an object is and its likely actions, not simply measure its size and distance.
