Potentially better idea, add a gyroscope to the key fob, and stop broadcasting after the fob is perfectly still for some threshold. That way when you set it down inside it can’t be relayed, but if it’s in your pocket, it won’t remain perfectly still, and will start transmitting. Could also add an IR blaster to detect if you set it down in the car. Battery life would start to become a bigger issue, but I think solutions to these problems could be engineered.
Indexing and lookups on datasets as big as companies like Google and Amazon are running also take trillions of operations to complete, especially when you take into account the constant reindexing that needs to be done. In some cases, encoding data into a neural network is actually cheaper than storing the data itself. You can see this in practice with gaussian splatting point cloud capture, where they are training networks to guide points in the cloud at runtime, rather than storing the position of trillions of points over time.
I firmly believe it will slow down significantly. My prediction for the future is that there will be a much bigger focus on a few “base” models that will be tweaked slightly for different roles, rather than “from the ground up” retraining like we see now. The industry is already starting to move in that direction.
While I agree in principle, one thing I’d like to clarify is that TRAINING is super energy intensive, once the network is trained, it’s more or less static. Actually using the network isn’t dramatically more energy than any other indexed database lookup.
Actually, Windows does allow you to use an alternate “compositor”— a feature which is used quite frequently in the industrial/embedded space. Windows calls them “custom shells”. The default is Explorer, but it can be set to any executable.
https://learn.microsoft.com/en-us/windows/iot/iot-enterprise/customize/shell-launcher
Autopilot maintains altitude and bearing between waypoints in the sky, and in some (ideal) situations can automatically land the aircraft. In terms of piloting an aircraft, it can handle the middle of the journey entirely autonomously, and even sometimes the end (landing).
Autopilot (the Telsa feature) is not rated to drive the car autonomously, requires constant human supervision, and can automatically disengage at any time. Despite being sold as an “autonomous driver”, it cannot function as one, like autopilot on a plane can. It is clearly using the autopilot feature of an aircraft to imply that the car can pilot itself through at least the middle of the journey without direct supervision (which it can’t). That is misrepresentation.
Investigate it? The dude literally named it “autopilot”, what is there to investigate, they market this explicitly in their advertising.
I could 100% see them offering user replaceable memory, but with a slower max speed than factory installed. Gotta have something to point to when the regulators come a-knockin.
proceeds to explicitly name 10 different biases back to back, requiring that the agent adheres to them
“We just want an unbiased AI guys!”
That’s for historians and professional researchers. It may not sway the field at large, but it’s still a huge risk to public opinion. I shudder to think of the propaganda implications for rewriting history in a near indistinguishable way.
No, he’s right.
You don’t need to exercise your stock options to access their value. It’s common practice to take loans out against their value, which allows you to access your money effectively tax free by instead paying interest against the loan. This is (again) a fairly commonplace practice used to make collecting tax difficult, and allow them to make the argument to regulators that they aren’t actually being paid that much, it’s totally just options they would never sell off. That’s why C suite has such a “burn everything to the ground, as long as our stock price goes up” mentality, because if it doesn’t, they have to start worrying about interest on their loans— because they have fairly low liquidity (percentage wise).
Base pay is a meaningless figure in tech. Total comp is all that matters. The true high rollers intentionally keep their base pay low to dodge taxes. This doesn’t mean they aren’t still getting and using this money, it’s just an intentional straw man to allow them to make this exact argument.
Everyone seems to be missing the point of the external display. It’s to keep you somewhat tethered to the real world, not to look super impressive. It gives people around you enough information to know if they can see you, and if they are looking at you, that’s it’s purpose. And it does that really well from what I’ve seen. Does it look a little weird? Sure, but it’s doing what it was designed to do.
Or go club anyway, for free. Just went to one with no cover, and didn’t drink anything. They actually had a raffle I did pay for, but I ended up winning. So technically, I profited 🤔
They stormed the most secure building in our country with the express purpose of stealing control of our government while openly shouting they wanted to hang the VP and members of congress, with the gallows they brought.
If that isn’t the textbook example of seditious treason, what is? They should have the book thrown at them. To do any less is to endorse and encourage this behavior.
You can attach a fake one in software via XVFB (X Virtual Frame Buffer). It’s a little involved if you aren’t familiar with X, but it only took me an hour or so to get setup. Then you don’t need any hardware at all, and can set whatever resolution you’d like.
If that were solely true, there would be a lot more competition in the field right now. Amazon, (and to a much lesser extent the other 2 big names, GCP and Azure) are so massive not because they have a lot of power (plenty of other companies like digital ocean or OVM have plenty of scaling power too)— but because the integrations between their products are so seamless. Most of that functionality has a foundation in FOSS software that they’ve built on top of.
Regulate does not equal stop, or even really slow for that manner. There are a number of measures we can mandate that wouldn’t slow any real research, but that would curtail malicious activity, like mandating some form of detection research to go alongside models, or pushing for better watermarking technology for genuine content.
I van totally believe that it detects AI generated content 99% of the time, that’s trivial. What I really wanna know is the false positive rate. If I write a program that flags everything, it’d have a 100% hit rate. It’d also however have a crazy high false positive rate.