The article gave me the opposite impression. Basically their database contains lawn signs and bumper stickers on accident - they save all images where text is found but they keep it just in case it had a license plate (because they aren’t sure what is or isn’t a license plate). These kinds of databases are so massive there’s little to no human eyes on images. Anyway I don’t think it would be very hard to send garbage into their database.
Readers are not smart. They are trained on data with license plates, and I doubt their training had license plates with extra characters on both sides.
It varies by state and there are no laws that say it needs to be machine readable. It only needs to be human readable.
I’m looking for some adversarial material - numbers and letters at various angles that I can stick to the left and right of my license plate. To a human it will be obvious which part is my license plate but it might be sufficient to confuse an ALPR algorithm.
Hope he can make it to at least a million steps to bring down his per step cost below 10 cents.
371k steps over 10 years is like 100 steps per day. Is it really slow, or did he only use it once a week?
iOS 18 Beta 7 it crashes and reloads back to search so fast it looks like your query is just erased. Band-aid fix maybe.
You mean xAI?
I am joking
It’s possible to make a rasterized pdf - that would just be an image with specs for printing. I think teachers need to specify their expectations. Submit a plain text file? Submit a markdown document? Submit a Word doc? Is hand-written okay? What about a type-writer?
A pdf is just a digital version of paper, and since paper is obsolete, the pdf is probably a bit archaic for somebody who has no intention of printing it.
I learned to type from instant messaging: ICQ and AIM. I know I did Mavis Beacon too but that was the practice that solidified it.
Hopefully my rough estimate of 1995 was not too exclusive. I’m sure there’s not a hard cutoff, and the same goes for pre-1975. But being right in the middle of that range, it was pretty cool to use the full spectrum of PCs, and all the game consoles, and see the internet bloom and explode and decay.
Lol screenshot, pdf, what’s the difference really?
I believe the most computer proficient people were born between 1975 and 1995. Before that and they were too old to figure it out without a lot of effort. After that they grew up with touch screens and it’s all just magic. Right in the middle we were able to grow along with advancements in computing.
I was teaching a class with mostly students born after 2000. One of them had never used a computer with a keyboard and mouse. Never used folders and files. Kind of blew me away.
Sound and light don’t propagate well through changes in media. The reason rainbows exist is because light does not travel in a straight line through drops of water, across the full spectrum. Radar is used to sense how hard it’s raining so it obviously gets returns from rain (and through it). But it will depend on the processing they do from the sensors. But just so we’re clear, cameras also work in the rain and snow. I don’t think one is clearly better than others.
Radar and Lidar also get a lot of noise from heavy rain or snow. Fog can be just as bad. Some conditions just aren’t safe to drive in, regardless of who’s driving. I don’t think either of them are trying to design a system for those conditions.
On a personal note, I have no interest in getting a ride in a self driving car. I do have an interest in an empty car that can drive itself. Drop myself off at the airport, valet parking downtown, easier to share one car per household, river shuttling, through hike shuttling - I would use it a lot. I understand the more profitable goal is taxi services, but I don’t want that. So in my narrow use case, I hope Tesla succeeds since that approach can be used on personal vehicles anywhere while Waymo is strictly city taxis, which I don’t use.
Chess is a very complex rules game, while Checkers is quite simple. Waymo has a complex approach to self driving:
While Teslas approach is simple:
Waymo’s successful approach scales linearly. They have to high-res map every city they want to operate in, and they can gradually bring down the cost of the sensors. They will require fewer remote operator interactions over time.
Teslas success is more difficult, but it scales exponentially. They already produce vehicles at scale and full control over all the equipment on board. The existing fleet would be able to participate as well. If they succeed, they may want to offer buy-backs for customers who didnt buy FSD - the cars would be worth more to Tesla than the owner.
In both checkers and chess, the player gains super powers for reaching the other side of the board. Time will tell who reaches the other side of the board first. They are playing different games on the same board. Okay that’s fair.
Interesting, my rake makes some sounds when I use it. It’s pretty loud on hard surfaces.
My takeaway from that article is mostly that primate research is a big emotional topic for some people, and maybe tech writers shouldn’t write about medical research. Do you think it would be so interesting if it was done on mice? The primate research center in Davis has been there since 1962, and it’s always been controversial. Do you think they’ve just been twiddling their thumbs for 55 years waiting for Neuralink to come along? No, that shit is routine for them. They keep doing it because primate research is still an important step before human trials.
There is no need to ethically green light a medical procedure that is voluntary, of sound mind, and of one’s own will. It’s not your body. It’s not your life. People implant beads and magnets into their bodies and tattoo their faces. People hang themselves from meat hooks for fun. People get circumcised, and pierced. It’s all none of your business.
Assuming the desktop takes the same power saving techniques from their laptops, there is no real reason to turn it off.