Below 95% accuracy recovery, I consider the degradation too large. At that point, you are probably better off using a smaller model at a healthier quantization level rather than forcing a heavily quantized 27B model to fit on your GPU.
Watch Duty gives live updated maps based on satellite hotspot monitoring. It can sometimes see hotspots that aren’t there due to smoke covering, but nothing is faster and more updated than live satellite data.
Zoom.earth gives you live satellite imagery if you want to see how smoke is blowing and up-to-date images.
Northrop Grumman’s answer was to build something that spends most of its working life parked on the ocean floor with nearly everything switched off. It is called Manta Ray. It can be transported anywhere in the world in five shipping containers, gets bolted together on a dock in two days, swims out by pumping seawater through itself instead of turning a propeller, then anchors to the ocean floor and sleeps there until someone wakes it.
The big problem with drones almost always comes down to the battery – especially underwater where it is nearly freezing. Instead of spinning a propeller, this drone acts like an underwater glider. It pumps seawater in to get heavy and sinks. It then pumps water back out to get light and rise. To move forward, it uses it’s wings convert all that vertical rising and falling into forward motion.
Additionally, to extend mission time, they have also been experimenting with ways to attach to the sea floor and passively collect energy to recharge batteries and extend total mission time.
It’s uncertain how well all the trials went, there’s been no further information since May 2024. The drone the Navy actually keeps ordering in volume is a 10-foot tube called Lionfish.
The hires rate today looks a lot like the hires rate did coming out of the Great Recession. You pretty clearly see that the labor market softened over the years. We saw that payroll employment growth slowed pretty substantially.
After Nicholas Carlini’s famous talk at Black Hat conference this year, his predictions have become shockingly real. Critical bugs are being found at an alarming rate. This means patches are also coming at a never before seen rate – and system developers and software engineers must now deal with this historic flood of patches. How many? Most companies would release in the low double digits of bug fixes in a given period. Now we’re seeing hundreds – in mere days.
None of this appears to be slowing – and we have AI to thank for it. AI is able to find bugs at a rate never before seen. It’s a reminder to the software development world, and especially security specialists, that they have been leaving a LOT of bugs and issues in some of the most secure software (BSD) that was undiscovered for decades.
Now people are talking about how to deal with astronomical numbers of patches coming out every week. It’s definitely something your production pipeline must be prepared for – because this will likely be the new normal for the rest of this year.