Say all you want about hallucinations, but AI will never be able to outperform humans at bullshitting, so sales and marketing is safe.

“It’s popular so it must be good/true” is not a compelling argument. I certainly wouldn’t take it on faith just because it has remained largely unquestioned by marketers.

The closest research I’m familiar with showed the opposite, but it was specifically related to the real estate market so I wouldn’t assume it applies broadly to, say, groceries or consumer goods. I couldn’t find anything supporting this idea from a quick search of papers. Again, if there’s supporting research on this (particularly recent research), I would really like to see it.

If there is any research from the last 50 years suggesting this actually works, I’d love to see it.

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.

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.

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

It’s 14,000 to 75,000, not millions.

Microplastics are in the range of one micrometer to five millimeters, not nanometers.

They link to the full source paper: https://www.nature.com/articles/s41598-020-61146-4

That seems more like your problem than OP’s.

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!

It says:

Available Architectures
aarch64, x86_64

And it uses Android Translation Layer. Interesting. I’ll give it a shot on my desktop later.

Better links to the community:

!taneggs@lemmy.ca

/c/taneggs@lemmy.ca

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.

So yeah, I use Comcast. And I hate it.

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.

Who thought it was a good idea to let an internet ad company control our internet client?

It seemed a lot more reasonable 15 years ago. The default on Windows at the time of Chrome’s rise was Internet Explorer.

I am watching Ladybird with great interest. The world needs a new-from-the-ground-up browser.