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Your proposed solution is in itself a privacy nightmare. Imagine Apple having to know your entire network of non-apple users just to not mess up your videos with friends.

Apple already knows those in your network and has for years. If you have an iPhone open the camera app and look under "People & Pets."

You have to specifically identify and name the people in the photos, otherwise all it knows is that it's a person and throws it into that folder. And if you don't use icloud none of it leaves your device. It does the photo processing locally on the phone. It only knows what you tell it.

https://support.apple.com/en-ca/108795

https://applemagazine.com/find-people-and-pets-in-photos/


I've never took any action it just recognizes faces of those ive taken a good amount of pics with and shows them in my network including automatically naming some of them. Tho not all of them seen under People & Pets have their name automatically listed. But and again it automatically already knows whose in my network so if I take a pic of them using my Apple Glasses the glasses tech or app on iPhone could have the pic focused on them and either blur out others in public or anonmyize/randomize all other faces. This is just an idea that would help solve people's concern with smart glasses and Apple is the privacy company.

That’s not how it works. Being trained a ton of human text doesn’t mean you can complete the next token for a program that needs to be logically coherent.

Imagine all your data is Reddit threads and now I ask you what follows “goto”, how would Reddit help you?

The opposite is likely true - there isn’t a ton of publicly available cobol code compared to e.g React, so an LLM will degrade.


Yeah it’s exhausting. Part of me wants the bubble to pop but another part realizes a lot of my stock is now tied up in it lol

Yah and this seems to be supported by preliminary evidence on the impact of AI on things like retention and cognitive ability.

The last one you list is hardest to fix. And that in turn causes the others. For example, if you have a stressful job, you might:

1. Sleep less (job stress or long hours keeping you up)

2. Eat less healthy (coping mechanism for job stress, and it’s faster)

3. Have less time for the higher quality social interactions.


So from the Article they claim:

"PayPal has since rolled back the code change responsible for this error, which potentially exposed the PII. We have not delayed this notification as a result of any law enforcement investigation."

That does little to explain the 2 month-ish delay in disclosing it. I presume they could have disclosed _at least_ that account data was leaked even if the underlying bug wasn’t yet closed?

Obviously without disclosing the nature of the bug in that case.


It's one of those "suspiciously specific denials"

They didn't delay the release because of law enforcement investigation, it doesn't say they didn't delay the release. There's a whole host of reasons besides "law enforcement investigation" to delay an embarrassing release, including "I don't wanna"


The quote is: "We have not delayed this notification as a result of any law enforcement investigation"

The obvious example here would be if the NSA or other agency that isn't law enforcement led the investigation.

But further abuse of the English language reveals a different conclusion. This was not delayed as a result of any law enforcement investigation. It could have been delayed as a result of a specific law enforcement investigation. Furthermore, the word "result" implies that it is tied to the conclusion of said investigation(s). It could in fact have been delayed because of a pending law enforcement investigation.


if they were trying to hide an investigation, they just wouldn’t mention it

Just before Christmas? I doubt it

There's also this website which shows ancient Roman roads: https://itiner-e.org/. Note that some roads are speculative / hypothetical though. But regardless it's also a cool road map related to Rome.

Yeah I wanted to point out the same. This sizing problem is not as prevalent outside of the US/Mexico (leaders in obesity).

It’s less prevalent in EU and even less so in some East Asian countries.


That's actually what the article points out. But I do think the language of normal vs abnormal obfuscates some of the intent. It's a 'deviation from healthy baseline' that they're talking about, and there are multiple such deviations in the grouped 'anomalies'.

From the article:

The language in particular should change given that “abnormalities” are ubiquitous—thus normal—and shouldn’t be described in terms that indicate a need for repair, like “tear.”


“Why should Americans trust them”, I’d go further and say you shouldn’t trust any company.

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