I wouldn't say they necessarily aren't personally concerned as well. I think quite often if people disagree with their employer but don't want to lose their jobs, it's more amenable to phrase disagreement like they have there. Yes it would be braver to just come out and say "I really don't like this", but at least it's braver than saying nothing at all.

Apple should have used that one for the 2016 MacBook.

The Leaf is one of those cars now too: https://www.caranddriver.com/photos/g65082021/2026-nissan-le...

Ultimately even with that tech, you can still take a photo of an AI generated scene. Maybe coupled with geolocation data in the signature or something it might work.

Any thoughts on attempted multiple camera/360 camera solutions? Can make it cost prohibitive to generate exceptional fakes… for a little while

Kind of like showing the proctor around your room with your webcam before starting the exam.

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I think legacy media stands a chance at coming back as long as they maintain a reputation of deeply verifying images, not being fooled.

I see signing chains as the way to go here. Your camera signs an image, you sign the signed image, your client or editor signs the image you signed etc etc. Might finally have a use for blockchain.

I feel it's too much of a perfect match to be generated from the model's memory. It's pixel perfect. Gotta be a mistake.

The links Gemini references are also to articles about the Skoda bell, so it's just a circular reference to the same claim anyway.

That diagram is pure marketing nonsense. The real chart is on page 10 of their paper[1]. It shows a modest ~3dB less attenuation around 800Hz across several brands.

[1] https://cdn.skoda-storyboard.com/2026/04/Skoda-DuoBell-Resea...

I'd say 'MIDI music' became a catch-all for music that's represented as data that is in turn triggering samples, rather than being a pure audio file. Might be actual MIDI or might be tracker music etc.

In light of "AI singer now occupies eleven spots on iTunes singles chart" being on the front page of Hacker News right now, I wanted to share this related post from prolific Australian musician Nick Cave.

It mirrors some of my own thoughts on AI and art, but he puts it into words more clearly than I have been able to.

Just in case you didn't read the full article, this is how they describe finding the bugs in the Linux kernel as well.

Since it's a large codebase, they go even more specific and hint that the bug is in file A, then try again with a hint that the bug is in file B, and so on.

very interesting. i think "verbal biasing" and "knowing how to speak" in general is a really important thing with LLMs. it seems to massively affect output. (interestingly, somewhat less with Opus than with GPT-5.4 and Composer 2. Opus seems to intuit a little better. but still important.)

it's like the idea behind the book _The Mom Test_ suddenly got very important for programming