Skip to content

The weaponization of Waymo

Technology
26 19 23
  • 960 Stimmen
    100 Beiträge
    17 Aufrufe
    M
    While you're right to be skeptical, if they just wanted to collect data they would have an Android version. And their stated reason for not supporting it, is that push notifications on Android would require them to at store device-IDs, which they want to avoid for privacy reasons and being vulnerable to subpoenas.
  • PSA: Stop Using These Fire-Prone Anker Power Banks Right Now

    Technology technology
    56
    1
    357 Stimmen
    56 Beiträge
    85 Aufrufe
    Y
    Agreed here. Frequently people charge these near where they sleep and the failure mode is... sudden. Couches and beds tend to be really good kindling too. Urgency in this case is probably warranted.
  • You're not alone: This email from Google's Gemini team is concerning

    Technology technology
    298
    1
    838 Stimmen
    298 Beiträge
    405 Aufrufe
    M
    My understanding is that, in broad strokes... Aurora acts like a proxy or mirror that doesn't require you to sign in to get Google Play Store apps. It doesn't provide any other software besides what you specifically download from it, and it doesn't include any telemetry/tracking like normal Google Play Store would. microG is a reimplementation of Google Play services (the suite of proprietary background services that Google runs on normal Android phones). MicroG doesn't have the bloat and tracking and other closed source functionality, but rather acts as a stand-in that other apps can talk to (when they'd normally be talking to Google Play services). This has to be installed and configured and I would refer to the microG github or other documentation. GrapheneOS has its own sandboxed Google Play Services which is basically unmodified Google Play Services, crammed into its own sandbox with no special permissions, and a compatibility layer that retains some functionality while keeping it from being able to access app data with high level permissions like it would normally do on a vanilla Android phone.
  • 615 Stimmen
    254 Beiträge
    753 Aufrufe
    N
    That’s a very emphatic restatement of your initial claim. I can’t help but notice that, for all the fancy formatting, that wall of text doesn’t contain a single line which actually defines the difference between “learning” and “statistical optimization”. It just repeats the claim that they are different without supporting that claim in any way. Nothing in there, precludes the alternative hypothesis; that human learning is entirely (or almost entirely) an emergent property of “statistical optimization”. Without some definition of what the difference would be we can’t even theorize a test
  • 52 Stimmen
    2 Beiträge
    14 Aufrufe
    kolanaki@pawb.socialK
    Same. That's probably why I suck ass at math, but my spatial awareness is off the chart. 🫠
  • 179 Stimmen
    13 Beiträge
    9 Aufrufe
    S
    I will be there. I will be armed. I will carry a gas mask. I will carry water and medical for my compatriots. I will not start shit. I will fight back if it comes to it.
  • Why doesn't Nvidia have more competition?

    Technology technology
    22
    1
    33 Stimmen
    22 Beiträge
    70 Aufrufe
    B
    It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.
  • AI cheating surge pushes schools into chaos

    Technology technology
    25
    45 Stimmen
    25 Beiträge
    80 Aufrufe
    C
    Sorry for the late reply, I had to sit and think on this one for a little bit. I think there are would be a few things going on when it comes to designing a course to teach critical thinking, nuances, and originality; and they each have their own requirements. For critical thinking: The main goal is to provide students with a toolbelt for solving various problems. Then instilling the habit of always asking "does this match the expected outcome? What was I expecting?". So usually courses will be setup so students learn about a tool, practice using the tool, then have a culminating assignment on using all the tools. Ideally, the problems students face at the end require multiple tools to solve. Nuance mainly naturally comes with exposure to the material from a professional - The way a mechanical engineer may describe building a desk will probably differ greatly compared to a fantasy author. You can also explain definitions and industry standards; but thats really dry. So I try to teach nuances via definitions by mixing in the weird nuances as much as possible with jokes. Then for originality; I've realized I dont actually look for an original idea; but something creative. In a classroom setting, you're usually learning new things about a subject so a student's knowledge of that space is usually very limited. Thus, an idea that they've never heard about may be original to them, but common for an industry expert. For teaching originality creativity, I usually provide time to be creative & think, and provide open ended questions as prompts to explore ideas. My courses that require originality usually have it as a part of the culminating assignment at the end where they can apply their knowledge. I'll also add in time where students can come to me with preliminary ideas and I can provide feedback on whether or not it passes the creative threshold. Not all ideas are original, but I sometimes give a bit of slack if its creative enough. The amount of course overhauling to get around AI really depends on the material being taught. For example, in programming - you teach critical thinking by always testing your code, even with parameters that don't make sense. For example: Try to add 123 + "skibbidy", and see what the program does.