Also the most "diverse" genetically.
What are saying? Spell it out for us.
Readit Newsriotnrrd commented on Gen Z first generation since 1800's with lower cognitive performance commerce.senate.gov/servi... · Posted by u/Swizec
riotnrrd commented on Flock CEO calls Deflock a “terrorist organization” (2025) [video] youtube.com/watch?v=l-kZG... · Posted by u/cdrnsf
The trouble with that logic is that we also had a fair few wars against Communists.
We'll worry about that when the Presidency and both houses of Congress are controlled by the Communist Party
riotnrrd commented on Lessons learned shipping 500 units of my first hardware product simonberens.com/p/lessons... · Posted by u/sberens
Oh boy, I want one of these. This would absolutely perfect for winter depression (I suspect much better than the "SAD lamps" marketed for this purpose which are bright not even close to this bright). But £889 is a lot of money for a lamp!
If you're not afraid of DIY and it looking (much) uglier than these lamps, you can buy extremely bright "cob lights" and make something yourself: https://meaningness.com/sad-light-lumens
riotnrrd commented on FBI raids Washington Post reporter's home theguardian.com/us-news/2... · Posted by u/echelon_musk
riotnrrd commented on Turn a single image into a navigable 3D Gaussian Splat with depth lab.revelium.studio/ml-sh... · Posted by u/ytpete
Cool, is there a way to upload several photos of a room from different angles to fuse it all together? Is there an api?
That's a pretty well-solved problem at this point, if you want to do it yourself. You'll want some kind of NeRF tool and a way to calculate the camera poses of the photos you took. COLMAP is the tool most people use for the latter.
I'd recommend trying Instant Neural Graphics Primitives (https://github.com/NVlabs/instant-ngp) from NVIDIA. It's a couple years old, so not state-of-the-art, but it runs on just about anything and is extremely fast.
> horizontal wires were the hardest common object to avoid... Traditional stereo won't help you localize them
This makes a lot of sense. I wonder if it wouldn't be better for autonomous vision to use three cameras instead of two for better spatial reasoning.. maybe in a triangle pattern?
We experimented with a rig with more cameras on it (four, in a square) but the baseline of the cameras on the drones we were using could be measured in centimeters, so the vertical stereo pairs didn't provide much better results. Further, more cameras means more power, more weight, and much more expensive on-board processing (which also will require more power).
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Cables don't move often. Why not simply have a map of all of them?
Google sell maps of things like this from street view data.
All cables? Everywhere in the entire country? Accurate to the centimeter level and updated on the hour?
Edit: This was flippant, but the real issues are: any map you get will be incomplete and obsolete almost immediately and cables move and sway in the breeze.
riotnrrd commented on It’s been a very hard year bell.bz/its-been-a-very-h... · Posted by u/surprisetalk
The claim of theft is simple: the AI companies stole intellectual property without attribution. Knowing how AIs are trained and seeing the content they produce, I'm not sure how you can dispute that.
Statistics are not theft. Judges have written over and over again that training a neural network (which is just fitting a high-dimensional function to a dataset) is transformative and therefore fair use. Putting it another way, me summarizing a MLB baseball game by saying the Cubs lost 7-0 does not infringe on MLB's ownership of the copyright of the filmed game.
People claiming that backpropagation "steals" your material don't understand math or copyright.
You can hate generative tools all you want -- opinions are free -- but you're fundamentally wrong about the legality or morality at play.