• 0 Posts
  • 516 Comments
Joined 1 year ago
cake
Cake day: June 15th, 2023

help-circle


  • We find that the MTEs are biased, signif-icantly favoring White-associated names in 85.1% of casesand female-associated names in only 11.1% of case

    If you’re planning to use LLMs for anything along these lines, you should filter out irrelevant details like names before any evaluation step. Honestly, humans should do the same, but it’s impractical. This is, ironically, something LLMs are very well suited for.

    Of course, that doesn’t mean off-the-shelf tools are actually doing that, and there are other potential issues as well, such as biases around cities, schools, or any non-personal info on a resume that might correlate with race/gender/etc.

    I think there’s great potential for LLMs to reduce bias compared to humans, but half-assed implementations are currently the norm, so be careful.







  • Yeah, AMD is lagging behind Nvidia in machine learning performance by like a full generation, maybe more. Similar with raytracing.

    If you want absolute top-tier performance, then the RTX 4090 is the best consumer card out there, period. Considering the price and power consumption, this is not surprising. It’s hardly fair to compare AMD’s top-end to Nvidia’s top-end when Nvidia’s is over twice the price in the real world.

    If your budget for a GPU is <$1600, the 7900 XTX is probably your best bet if you don’t absolutely need CUDA. Any performance advantage Nvidia has goes right out the window if you can’t fit your whole model in VRAM. I’d take a 24GB AMD card over a 16GB Nvidia card any day.

    You could also look at an RTX 3090 (which also has 24GB), but then you’d take a big hit to gaming/raster performance and it’d still probably cost you more than a 7900XTX. Not really sure how a 3090 compares to a 7900XTX in Blender. Anyway, that’s probably a more fair comparison if you care about VRAM and price.








  • Yep. If it uses a cloud service, they’re probably going to squeeze you, pull a bait-and-switch, or go out of business. The only exceptions that spring to mind are services with significant monetization in the corporate space, like Dropbox. And I’m not really confident that Dropbox’s free tier will remain viable for long, either.

    Even non-cloud-based apps are risky nowadays because apps don’t remain compatible with mobile OSes for very long. They require more frequent updates than freeware/shareware generally did back in the 90s. I remember some freeware apps that I used for 10 years straight, across several major OS versions, starting in the 90s. That just doesn’t happen anymore. I’ve been using Android for over 10 years and I don’t think there’s a single app I used back then that would still work.

    Single-purchase apps are basically dead, at least on mobile platforms. Closed-source freeware is dead, too. If it’s open-source, if push comes to shove someone can always pick up the torch and update it. It’s very rare for an open-source project to be completely abandoned without there at least being a viable open-source alternative available.

    At this point, I don’t even look at Google Play. It’s F-Droid or bust.




  • That is probably true for podcasts on exclusive platforms like Spotify, but those are few and far between. Even with those, I don’t think Spotify is delivering customized audio files to each user.

    It’s more like with broadcast TV, where they have general demographic information that they use to attract advertisers.

    The general case is a plain ol’ RSS feed accessed by any arbitrary client. There’s not much data to be tracked there. And there’s not a whole lot you can do with an IP address without introducing highly-visible problems. You can infer the general geographic location of your listeners, but that’s about it. If you try to do personal tracking via IP address, it’s going to be messy. Cell phones don’t typically have persistent unique IPs, and even most laptop users are going to be running on a shared external IP (e.g. at a college campus, business, or any ISP that does not provide users with a dedicated IP). And again, they’re not customizing audio files per user. It’s a mostly static medium.