No, not at all. The gender pay gap is in the training data thousands of times, from online comments, studies, news articles, etc. Since AI is a dumb machine replicating what it has in its training data, it replicates that.

I'm pretty sure you can find religious believe, superstitions of all kinds, human fallacies and whatever in AI if you provide it with the right setup.

That wasn't the thing people didn't like about him.

He was wrong for doing a witch hunt, punishing people without due process of law.

If your intent in making the qualifications was to avoid hiring an American, then a judge (or jury) can rule that you broke the law.

Those are the contractors.

I don't really oppose H1b, but arrest one CEO who is hiring people illegally, and this will stop.

This is true. I like my H1b coworkers (so I definitely won't report anything), but I've never seen a company apply for one in a way that wasn't fraud.

There's no such thing as a 10.

Well, let's test your logic. Saying hearts can't do math is the same thing as saying people can't do math, because a heart is a subset of a person. Or how about this one ... saying that the Amygdala can't do math is the same thing as brains can't do math because the Amygdala is a subset of the brain. How about claiming that saying databases can't serve web pages is the same as saying a webserver can't serve web pages because databases are a subset of a web stack. Herp Derp.

"The Emmy Awards, or Emmys, are an extensive range of awards for artistic and technical merit for the television industry."(Emphasis mine).

Wow. Nothing screams confidence quite like platform-X needing to play its own awards show on platform-Y just to get enough eyes to make it worth the effort. So cooked the smoke detector battery already went dead.

"None of y'all watch any of what we're going to talk about tonight, but hey, we have a second-rate comedian hosting, and maybe a band or two if they can get rides from the nursing home! And, uh, one of the regu... uh... recurring Seinfeld cast is in the audience tonight! Your parents couldn't get enough of it!"

Slashdot doesn't have table support, so it's hard to do side-by-side well, but:

JPEG XL advantages:

Licensing:

JPEG XL: Fully royalty-free (Open source / Apache 2.0)
HEIC: Proprietary patent minefield (MPEG LA, Advance, Velos; royalties apply)

Legacy JPEG Migration:

JPEG XL: Lossless, reversible bitstream transcoding (~20% smaller); fast enough for real-time web servers
HEIC: Lossy re-encode only (generational quality loss; cannot reconstruct original JPEG)

Fine Detail & Textures

JPEG XL: Retains sharp text, fine lines, subtle textures, and film grain
HEIC: Video-derived coding (HEVC / X.265). Tends to smooth out high frequences and smudge grain.

Software Encoding Speed

JPEG XL: Extremely fast; highly parallelized SIMD architecture
HEIC: Exceptionally slow and computationally expensive in software

Software Decoding Speed

JPEG XL: Fast, lightweight multi-threaded CPU decoding
HEIC: Heavy CPU overhead (without using hardware acceleration)

Progressive Rendering:

JPEG XL: True progressive decode; smart saliency algorithm to focus bandwidth on critical details first.
HEIC: None; full file must be received and decoded before display

Lossless Compression
JPEG XL: Dedicated modular mode; vastly outperforms PNG and WebP
HEIC: Ill-suited; you basically have to try to do lossless compression with an inherently-lossy format

Bit Depth & HDR

JPEG XL: Native HDR; up to 32-bit floating point per channel
HEIC: Typically capped at 10-bit or 12-bit integer

Max Dimensions & Scaling

JPEG XL: Up to 1B x 1B; efficient viewport/crop loading without full decoding
HEIC: v5.2, 4096x2160; v6.2: 8192x4320; a tiling hack allows up to 16384 x 16384

Channels & Color Spaces:

JPEG XL: Arbitrary color spaces (hyperspectral); unlimited extra channels (alpha, depth, thermal, masks, CMYK, etc)
HEIC: Rigid container; limited auxiliary channels and standard video color spaces

HEIC advantages:

Rollout / acceleration:

JPEG XL: no dedicated hardware acceleration (thankfully, it's not as important because it's so much more efficient). Software adoption still rolling out.
HEIC: Hardware silicon (ASICs). Default capture format on modern iOS/Android; native capture in Sony, Canon, and Nikon cameras

Video:

JPEG XL: Supports animations (GIF/APNG replacement), with some optimizations** (it's not just a series of stills), but lacks the full set of optimizations that a proper video codec has.
HEIC: Container naively pairs full HEVC video tracks and audio with video.

** - JPEG XL can store up to 4 reference frames in a buffer, with multiple blending modes from the references (add, replace, multiply, etc); has subframe bounding boxes ("dirty rectangles") for when only part of a frame changes; invisible frames; modular deltas (differences between frames); etc. However, it lacks motion vectors (e.g. detecting a feature drifting across a scene and simply having to encode "move it" (followed by any needed deltas). So it's great for "GIFs", but if you wanted to encode a full movie, it'd be significantly larger than e.g. HEVC.

It all depends on who you are optimizing for.

• Parents with kids would do better on standard time, because they have to take their kids to school before work.
• Everyone else with a 9-to-5 job may do better on DST, assuming a short commute distance, because sunrise at 7:20 instead of 8:20 just adds useless time before the morning commute, while sundown at 5:53 means driving home before dark.

There is no one correct answer, because which one fits your circadian rhythms better depends entirely on what time you wake up.

It seems like you would have to take a special course to learn how to be as misinformed as you are. How do you do it? It is truly impressive in an inverse corollary way.

Let me guess ... you don't know how to read?

In order to believe your ridiculous claim you pretty much have to go out of your way in search of misinformation at this point. Leaving aside the fact that you don't know the difference between an LLM and a frontier AI model, you also have to know nothing about actual documented proof, time and again, that they have arrived at completely non-novel innovative solutions to real world challenges with zero human intervention.

that's an impressive list of differences. i'd like to see a side-by-side

NGL, I'm definitely liberal-leaning, yet I sincerely believed the "pay gap" was 99% explained by reproductive status and a general willingness to negotiate more aggressively for better pay (or similarly, willingness to apply for more aspirational jobs beyond the applicant's qualifications and experience level)>

The former is clearly protected under Title VII, but that doesn't change the physical reality of someone who left the workforce for five years having five years' less experience than their peers. The latter is a much harder social indoctrination (or maybe just a testosterone) problem.

This new study though... Holy shit, that's pretty black-and-white! Barring some non-obvious methodological issues, there's nothing here to argue with. We now have concrete data that even the label "male" or "female" applied to a genderless construct adversely affects perceived value.