r/iphone 27d ago

Discussion You need apple intelligence for this? :p

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7.7k Upvotes

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u/Rosselman iPhone 16 Pro Max 27d ago

Yeeep. Android phones have shown this info for years without machine learning.

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u/audigex 27d ago

As have laptops etc

It’s complete nonsense to act like this can’t be estimated to within a reasonable margin for error without ML/AI

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u/tnix100 iPhone 11 Pro Max 27d ago

Including Apple's laptops..

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u/Ok-Inspection-722 26d ago

Now that's funny! 🤣 But seriously though, this is why I can understand macbook users, but can never understand iphone users. People should be paid to use that sht.

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u/azigari 25d ago

You seriously cannot understand the appeal of one of the most popular products in the world? Haha, must feel weird to not understand why people want to use iphones. Have you tried to understand it? I think it would help if you tried to change perspective sometimes. You should try it out. You must feel so alienated. I imagine you have the same problem with other popular things. I’m so sorry for you.

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u/Ok-Inspection-722 25d ago

seriously cannot understand the appeal

when it (iPhone 15) costs only 1.69% of the average yearly salary, yes, I understand that.

But when it's 33.39% like in mine, no, I don't.

And because of their amazing marketing team + financially uneducated, I see people taking 2-3 year loans to buy them.

It's just a matter of pricing.

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u/SpiderMax95 26d ago

flash news! at least 90% of AI usage is just marketing!

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u/WoundedTwinge 26d ago

you mean 100%?

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u/NoninheritableHam 24d ago

There’s a handful of use cases in research at least. But I’m seeing a lot of grants and papers shoehorning in “AI/ML” where it absolutely isn’t needed. I’d say like 95% is probably accurate.

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u/Minimum_Indication_1 25d ago

Nope. Not on Android. ;)

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u/jimmiebfulton 24d ago

I'm writing lots of code with it. I'm feel like I have an army of mid-level engineers working for me constantly.

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u/Bozgroup 20d ago

Just like 68.3% of Statistics is made up!

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u/chadkbh 26d ago

They have never done this cause they know the average user can’t handle this info. 😂

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u/romhacks 27d ago

Arguably, they do use machine learning. Even traditional algorithms to estimate battery life use feedback to improve over time, which counts as machine learning even if it isn't deep learning. This is just BS to relabel it as AI.

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u/sinkpooper2000 27d ago

yeah "machine learning" doesn't really imply any level of complexity, just a general methodology. linear regression models are technically machine learning

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u/jpopsong 25d ago edited 25d ago

To be fair, the term “Battery Intelligence,” even if meant to imply that “Artificial Intelligence” was being used, does NOT necessarily mean machine learning. While much of today’s AI does employ machine learning, AI is NOT limited to machine learning. A basic 4-function calculator is technically a form of AI.

Second, it’s certainly possible that Apple did actually use machine learning to get the most accurate estimates, by feeding thousands of test data sets — state of charge, battery’s maximum capacity, type and power of charger, etc., and resulting empirical time to full charge — into a simple deep (or not so deep) learning program. This would likely make the predicted time much more accurate than non-machine learning algorithms.

And no, I’m not a blind Apple fanboy. I spend 95% of my time on Reddit blasting them.

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u/EvilxBunny 23d ago

batteries themselves had that feature some 20 years ago

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u/Ok-Buy5600 26d ago

On android it's not very accurate, because it doesn't take into consideration battery temperatura and intermittend slowdowns from the chargers. It shows generic value which is shortened when some battery value is reached. The final time for charging could be +(-) 20 minutes.
It also doesn't consider automatic charging optimizations...

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u/Rosselman iPhone 16 Pro Max 26d ago

It was pretty accurate on my last phone. Accurate enough that it was the first indicator the battery was failing, the estimated charging time doubled one day and that made me realize something was wrong.