Jerboa is solid, but it's not feature-rich. Not great for media browsing. It's still my main client since I use Lemmy mostly for text, not images or videos.
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.
Being factually incorrect about literally everything you said changes nothing? Okay.
More importantly, humans are capable of abstract thought. Your whole argument is specious. If you find yourself lacking the context to understand these numbers, you can easily seek context. A good starting place would be the actual paper, which is linked in OP's article. For the lazy: https://www.nature.com/articles/s41598-020-61146-4
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.
I think there are two problems that make this hard to answer:
Not all sentences that can be parsed grammatically can also be parsed logically.
Human-language sentences do not contain all the information needed to evaluate them.
It is impossible to fully separate context from human language in general. The sentence "it is cold" is perfectly valid, and logically coherent, but in order to evaluate it you'd need to draw external information from the context. What is "it"? Maybe we can assume "it" refers to the weather, as that is common usage, but that information does not come from the sentence itself. And since the context here is on the Internet, where there is no understanding of location, we can't really evaluate it that way.
It's hot somewhere, and it's cold somewhere. Does that mean the statement "it is cold" is both true and false, or does that mean there is insufficient information to evaluate it in the first place? I think this is largely a matter of convention. I have no doubt that you could construct a coherent system that would classify such statements as being in a superposition of truth and falsehood. Whether that would be useful is another matter. You might also need a probabilistic model instead of a simple three-state evaluation of true/false/both. I mean, if we're talking about human language, we're talking about things that are at least a little subjective.
So I don't think the question can be evaluated properly without defining a more restrictive category of "sentences". It seems to me like the question uses "sentence" to mean "logical statements", but without a clearer definition I don't know how to approach that. Sentences are not the same as logical statements. If they were, we wouldn't need programming languages :)
Apologies for the half-baked ideas. I think it would take a lifetime to fully bake this.
I claim ownership of the microorganisms in and on my body. I am not merely human; I am a glorious amalgamation of trillions of distinct beings, working in harmony to bring you shitposts!
As a begrudging Comcast customer myself, allow me to explain. They are the least shitty option because the only alternatives in my area are 5G and Verizon DSL. Verizon DSL has a max download speed less than 1mbps.
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.
I also sometimes use the mbasic.facebook.com site from a private Firefox tab on my iPhone, but FB has just started telling me I need to use Chrome
WTF.
But really, using a Chromium-based or Safari-based browser in private/incognito mode will not be much different as far as tracking goes.
You might also be able to install a user-agent switcher extension in Firefox. I thiiiiiink Firefox supports extensions on iOS now, right? If not, you can try an alternative browser like Duckduckgo or Orion.
It's a bit complex to set up, but Syncthing can do one-way syncing. So you can have it set to upload photos from your phone to your PC. Then you can delete those photos from your phone and they'll stay on the PC.
Then you just need a good backup strategy for your PC.
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?
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.
Jerboa is solid, but it's not feature-rich. Not great for media browsing. It's still my main client since I use Lemmy mostly for text, not images or videos.
Eternity and Voyager are worth looking at, too.