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3 months agoThis is true. I asked my LLM.
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Joined 11 months ago
Cake day: August 14th, 2023
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Like search bars.
If you think of LLMs as a thing to replace search bars then this kind of makes sense.
It’s amazing how context matters on these things, because I was pretty peeved for her when I saw the original article.
Her comment feels a little callous and manipulative with this context, but I am going to give the benefit of the doubt that she didn’t have these details when she made her post.
Fortunately for you, this lawsuit doesn’t involve the Mac.
Fortunately for the rest of us, Apple doesn’t have anywhere near a monopoly in any industry, which is honestly where this case should be dismissed.
If you have to take a specific month out of the year, limit the region, and define a category as “performance” to get your numbers fudged and you still only get to 70% you’re not exactly making a strong case for a monopoly.
I tried to keep it super subtle but you got me!
That’s fair. Corporations are people. And people are the worst.
Thank you!
Searching for what you said got me this recent article which does a better job of explaining all the issues and complaints:
Yes yes. Apple Bad pls upvote me.
But in this case I pointed out some things that are wrong with the DOJ’s complaints, one thing that is valid, and asked questions about two that nobody, and my searches, have answered. They seem to also be completely wrong on the DOJ side.
I doubt you use their products or will be affected by them being altered in any way, but I do and will, so this case interests me as do the details.
Right?
The complaints that they did list, many aren’t valid anymore. But they didn’t call out a lot of common complaints.
Let me put it this way, superapps rely on harvesting and exploiting massive amounts of user data for profit, which is much worse than anything that Apple does. That aspect should be banned.
The quality of the service or content they provide is not my preference, but that’s not what I was referring to as hot garbage in this case.
Edit: an upstream comment led me to be able to find this article which does a way better job of explaining the DOJ complaints:
Honestly, I would be happy if Apple addressed all of these things as long as doing so has absolutely zero chance of degrading my experience as their customer.
My original comment:
Apple already announced that it’ll be supporting RCS sometime this year. Cloud streaming games have been available on iOS for years now, but prior they had to be a Web App and as of earlier this year that is no longer the case. Now they can be a regular app in the app store.
Superapps are hot garbage and should be banned. But WeChat exists on iPhone so I am honestly confused about this one. What features is it not allowed to have?
The NFC and wallet issue is a thing still.
The watch thing is a head scratcher. What API does Apple Watch currently use which 3rd party watches don’t have access to? Because it seems like Apple is being blamed for other companies not making better products.
Doesn’t it require a separate process to be using the cryptographic algorithm in the first place in order to fill the cache in question?
If it’s done in-process of a malicious app that you’re running, why wouldn’t the app just steal your password and avoid all of this in the first place?
An efficient and fast version of this in Javascript would be worrisome. But as-is it’s not clear if this can be optimized to go faster than 1-2 uninterrupted hours of processing, so hopefully that doesn’t end up being the case.
Yup, but they’re probably as likely to beat you up to get your passwords.
That’s the sentiment I was going for.
There’s reason to care about this but it’s not presently a big deal.
It depends, some M-devices are iOS and iPadOS devices, which would have this hardware issue but don’t have actual background processing, so I don’t believe it’s possible to exploit it the way described.
On Mac, if they have access to your device to be able to set this up they likely have other, easier to manage, ways to get what they want than going through this exploit.
But if they had your device and uninterrupted access for two hours then yes.
Someone who understands it all more than I do could chime in, but that’s my understanding based on a couple of articles and discussions elsewhere.
This requires local access to do and presently an hour or two of uninterrupted processing time on the same cpu as the encryption algorithm.
So if you’re like me, using an M-chip based device, you don’t currently have to worry about this, and may never have to.
On the other hand, the thing you have to worry about has not been patched out of nearly any algorithm:
And they didn’t test any of them, and linked to an actual test which ALSO didn’t test any of them as if it supported the claim that these apps are, as you (but not the article) say, are grifter apps.
I read the article and its linked sources in a few cases. How else would I have been able to directly address them?
When Australian scientists tested the accuracy of popular mushroom ID apps last year after a spike in poisonings, they found the most precise one correctly identified dangerous mushrooms 44 percent of the time.
Notice this paragraph which links to https://pubmed.ncbi.nlm.nih.gov/36794335/
The extract for which talks about the following apps:
Picture Mushroom (Next Vision Limited©), Mushroom Identificator (Pierre Semedard©), and iNaturalist (iNaturalist, California Academy of Sciences©)
None of which use LLMs and predate the issue that the article is talking about. I checked, before my comment, all of their pages on the iOS App store, at least. They’re all 4+ years old and none use LLMs.
Amusingly enough, the Public Citizen article linked earlier in OP’s article calls out iNaturalist as something they’ve been working with to positively improve the experience of identifying mushrooms:
https://www.citizen.org/article/mushroom-risk-ai-app-misinformation/
The Fungal Diversity Survey, a project devoted to correcting the many gaps in understanding regarding fungal biodiversity, partners with iNaturalist to document and verify mushroom observation
But ultimately there were no apps ACTUALLY TESTED that use OpenAI or LLMs for their identification.
I haven’t tried LLMs myself, but even completely made up garbage would be better than today’s search engine results.
You either get advertisements for things that have nothing to do with what you’re trying to find or you get privacy preserving links to sites that have nothing to do with what you’re trying to find.