Interesting read, thanks! I’ll finish it later, but already this bit is quite interesting:
Without access to gender, the ML algorithm over-predicts women to default compared to their true default rate, while the rate for men is accurate. Adding gender to the ML algorithm corrects for this and the gap in prediction accuracy for men and women who default diminishes.
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.
After all these years, I’m still a little confused about what Forbes is. It used to be a legitimate, even respected magazine. Now it’s a blog site full of self-important randos who escaped from their cages on LinkedIn.
There’s some sort of approval process, but it seems like its primary purpose is to inflate egos.
It was an SEO hellhole from the start, so this isn’t surprising.
Do Forbes next!
However, it is still comparatively easy for a determined individual to remove a watermark and make AI-generated text look as if it was written by a person.
And that’s assuming people are using a model specifically designed with watermarking in the first place. In practice, this will only affect the absolute dumbest adversaries. It won’t apply at all to open source or custom-built tools. Any additional step in a workflow is going to wash this right out either way.
My fear is that regulators will try to ban open models because the can’t possibly control them. That wouldn’t actually work, of course, but it might sound good enough for an election campaign, and I’m sure Microsoft and Google would dump a pile of cash on their doorstep for it.
simply logging out or using an alt account
It is increasingly difficult to use X without an account. Not sure what the signup process is like nowadays. IIRC it used to require phone number verification in the Twitter days, but perhaps Musk relaxed the requirements in order to better pad the usage stats with spambots?
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.
You might want to look at the LibRedirect browser extension. You can have it convert all YouTube links to point to your preferred Invidious instance instead.
Hmm, I’ll have to double-check it on my build. Pretty sure it was working, but it’s possible I was only getting OpenCL or Vulkan acceleration. Out of curiosity, what’s your GPU model? I think only the 7900XT[X] is officially supported for ROCm.
I recently tried Bazzite, and I have to agree. Switching from a traditional Linux distro to an immutable distro is harder than switching from Windows to Linux. I’m not kidding. When it comes to immutability, my experience can be split into two general cases:
I have yet to encounter a scenario where immutability offered a tangible benefit. The supposed advantages seem rather abstract. I can’t break my system? Okay…but…well, I already had snapper for the rare occasions when something got royally borked. This is a problem that has already been solved without major compromises, so why are we now compromising so much to solve it again?
It comes with 4 different package management systems (or 6 if you count Distrobox and Waydroid), and they all come with big caveats. I’ve had to reboot more in the past week than I previously had in the past year on Debian, because every time I need to install something from the main Fedora repo with rpm-ostree (which has been many times already), it needs to reboot. They recommend against using rpm-ostree, but there is no reasonable alternative for a rather wide array of software. It’s either rpm-ostree or build a whole mess of things from source and manage them manually. Both options suck very hard.
Still, overall, Bazzite delivers. Everything you see on their web site works out of the box. It’s hard to recommend, but it’s also hard to criticize. I’ve never had a smoother gaming experience, and this is the first time I’ve ever had to spend zero minutes configuring my GPU drivers (outside of macOS, anyway). You get CUDA and ROCm out of the box. You get the latest drivers. It’s awesome.
If you’re wondering if an immutable distro is right for you, the answer is probably “no”. But if you’re up for the, erm, “adventure” of learning this new paradigm, Bazzite fucking rocks.
My favorite episode of the season so far. It was just fun.
I loved Encyclopedia Brown when I was a kid, and I enjoyed seeing Leela and Bender play Sally and Leroy.
I’m certain that if someone did collect data from the Fediverse; it would become a hot topic
I’d assume bad actors (or at least chaotic neutral actors) are slurping up the entire fediverse already. It is trivial to do, and nobody would know.
I mean, the whole point is that anyone can spin up a server and federate with others. I could start my own server, which would by default federate with almost all other servers. That means I wouldn’t even need to write a scraper. All that data would be sent straight to my server. All I need is access to my own database at that point. With Lemmy, I’d even get users’ upvote/downvote history, which is not visible in any clients AFAIK. The only barrier would be to subscribe to communities on different servers to kickstart federation.
As long as you don’t run obvious spam/bot accounts, nobody would block your instance.
Alternatively, if you want to write a scraper, that’s also pretty easy. Most servers are publicly accessible. Every community has an RSS feed. You don’t even need an account in general. Again, the whole point is to be open and accessible, in contrast to closed-off data-misers like Facebook, Reddit, and X.
The fediverse is friendly to users, with very little regard for what those users might do. I believe this is the correct philosophy, but I won’t pretend that it doesn’t leave us open to bad behavior.
Have you used Facebook in the last 5 years?
The UX is godawful. More than half my feed is just random crap suggestions and ads.
Now that you mention it, yeah, I wonder if they haven’t updated recently.
Isn’t the 7950X3D the best at basically everything? I mean, disregarding value per dollar, it’s still better than any of the other Ryzens for gaming, isn’t it?
https://www.logicalincrements.com/ is a good starting point.
If you want to beat the PS5 Pro in terms of raw performance, you’ll probably want to look at the “great” tier and higher. It’s hard to say now since we don’t have any real-world benchmarks to go by.
$700 seems like a lot for a PS5 Pro, but if it’s really as powerful as they claim then it will still compare well to PCs under $1k.
I explained why that data does not contradict what the previous commenter was trying to say.
Speed is less of a factor than endurance in a persistence-hunting scenario where we’re much slower than our prey anyway.
I don’t know the facts for this specific claim, but the logic is fair. One group can be better suited for endurance without being faster. One group could also be faster on average without having the individual fastest performers. Not only because of cultural factors, but also because the distribution curves might have different shapes for men vs women. There could be greater outliers (top performers) among men even if the average is higher among women in general. It’s not necessarily as straightforward as, say, height, where men’s distribution curve is almost the same shape as women’s, just shifted up a few inches.
I don’t have the data to draw any real conclusions, though.
One of the problems looking at athletic records is that it’s really just the elite among a self-selected group of enthusiasts, which doesn’t tell us a whole lot about what might have been the norm 100,000 years ago, or what might be the norm today if all else were equal between genders. These are not controlled trials.
I’ve read that the top women outperform the top men in long-distance open-water swimming, supposedly due in part to higher body fat making women more buoyant, helping to regulate body temperature, and providing fuel. This is the first time I’ve read that women might have an advantage in running, though.
I wish the article provided citations. The reality is probably too complex to fit into a headline or pop-sci writeup.
Same on macOS. Apple has “case-sensitive HFS+” as an option for UNIX compatibility (or at least they used to) but actually running a system on it is a bad idea in general.
What part of this is misinformation, exactly? Seems pretty well-supported.
Wait, isn’t it the other way around? You should arrive in NY earlier than you left London, since NY is 5 hours behind London. So if you leave at 8:30 and arrive 1.5 hours later, it should only be 5AM when you arrive.
You might need a third breakfast before your elevenses in that case.