Source: Hacker News
Source: Schneier on Security
Ukraine is using $400 drones to destroy tanks:
Facing an enemy with superior numbers of troops and armor, the Ukrainian defenders are holding on with the help of tiny drones flown by operators like Firsov that, for a few hundred dollars, can deliver an explosive charge capable of destroying a Russian tank worth more than $2 million.
[…]
A typical FPV weighs up to one kilogram, has four small engines, a battery, a frame and a camera connected wirelessly to goggles worn by a pilot operating it remotely. It can carry up to 2.5 kilograms of explosives and strike a target at a speed of up to 150 kilometers per hour, explains Pavlo Tsybenko, acting director of the Dronarium military academy outside Kyiv.
“This drone costs up to $400 and can be made anywhere. We made ours using microchips imported from China and details we bought on AliExpress. We made the carbon frame ourselves. And, yeah, the batteries are from Tesla. One car has like 1,100 batteries that can be used to power these little guys,” Tsybenko told POLITICO on a recent visit, showing the custom-made FPV drones used by the academy to train future drone pilots.
“It is almost impossible to shoot it down,” he said. “Only a net can help. And I predict that soon we will have to put up such nets above our cities, or at least government buildings, all over Europe.”
Science fiction authors have been writing about drone swarms for decades. Now they are reality. Tanks today. Soon it will be ships (probably with more expensive drones). Feels like this will be a major change in warfare.
Source: Hacker News
Source: Hacker News
Source: Hacker News
Source: Hacker News
Source: OSNews
Dave Cutler is a seminal figure in computer science, renowned for his contributions to operating systems. Born in 1942, he played pivotal roles in the development of several OSes, most notably VMS for Digital Equipment Corporation (DEC) and Windows NT for Microsoft. Cutler’s design principles emphasize performance, reliability, and scalability. His work on Windows NT laid the foundation for many subsequent Windows versions, solidifying its place in enterprise and personal computing. A stickler for detail and a rigorous engineer, Cutler’s influence is evident in modern OS design and architecture. He’s a recipient of the Computer History Museum’s Fellow Award for his unparalleled contributions.
I don’t often link to videos, but when I do, it’s a good one.
Source: Hack a Day
Interpolation and digital cropping are two techniques which are commonly used by marketing folk to embellish the true specifications of a device. Using digital cropping a fictitious zoom level can be listed among the bullet points, and with frame interpolation the number of frames per second (FPS) recorded by the sensor is artificially padded. This latter point is something which [Yuri D’Elia] came across with a recently purchased smartphone that lists a 960 FPS recording rate at 720p. A closer look reveals that this is not quite the case.
The smartphone in question is the Motorola Edge 30 Fusion, which is claimed to support 240 and 960 FPS framerates at 720p, yet the 50 MP OmniVision OV50A sensor in the rear camera is reported as only supporting up to 480 FPS at 720p. To conclusively prove that the Motorola phone wasn’t somehow unlocking an unreported feature in this sensor, [Yuri] set up an experiment using three LEDs, each of which was configured to blink at either 120, 240 or 480 Hz in a side-by-side configuration.
As [Yuri] explains in the blog post, each of these blinking frequencies would result in a specific pattern in the captured video, allowing one to determine whether the actual captured framerate was equal to, less than or higher than the LED’s frequency. Perhaps most disappointingly about the results is that this smartphone didn’t even manage to hit the 480 FPS supported by the OV50A sensor, and instead pegged out at a pedestrian 240 FPS. Chalk another one up for the marketing department.
Source: Ars Technica
Reddit ignited a war this year. Dramatic changes in API access pricing (from free to unaffordable) was one of its most polarizing moves ever. It resulted in apps beloved by long-time Reddit users, including moderators and people with accessibility needs, closing shop. Community trust was sacrificed, too. Disgusted with Reddit for how it handled third-party apps, abruptly ushered in pricing changes, and treated moderators who protested, numerous valuable, knowledgeable users quit the platform.
Originally, Reddit framed its API pricing changes as a way to prevent generative AI companies from using Reddit data to train large language models (LLMs) without Reddit getting anything in return. With Reddit no longer dealing with small third-party developers—all of which are now either paying Reddit or getting some sort of exemption—Reddit is reportedly taking the fight to where it should have been focused the entire time: generative AI firms.
On Friday, The Washington Post, as spotted by The Verge, said Reddit "has met with top generative AI companies about being paid for its data," citing an anonymous source.
Source: Hacker News
