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Apple is behind in AI. Google has Google Lens, real-time transcription of audio recordings, live captions. And Google Assistant is leaps and bounds ahead of Siri in nearly every way. What is there in AI that Google doesn't beat Apple at?
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I’m not an Apple fankid but the predictive keyboard and speech to text work wonderfully on my iPhone and I use Siri everyday with no problems. Google’s is probably better, but the different is not a meaningful one from what I can tell.
As someone that bought the first Android phone and now has an iPhone...it is extremely noticeable how much better Android is on these fronts. But depending on the person that gap may not be important. For me, it is night and day. I felt Google had a long way to go on these fronts, so I was stunned at just how bad Apple was :(.
Also googles keyboard swipe is WAY better than the iOS implementation
Its behavior is totally bizarre. It’s like an underpowered chess engine that makes flagrant blunders: capitalizing random words in the middle of a sentence (rock -> Rock), the context sensitivity of an actual rock, forcing the same correction multiple times (i.e. you go back to fix its error, and it defiantly repeats it), contraction mixups, blindness to off-by-one-keystroke errors (consentuallt -> ), and of course the occasional random word substitution. Only martial artists want to duck people (and it—no joke—just now substituted [duck -> suck]. You had one job autocorrect.)
Is this just me? Is it actually 2020? What is going on?
Fluff Piece. Apple PR machine learning that techies read ars Technica.
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I think a lot of people have underrated the benefits Apple reaps in this area from being so far ahead in chip design and controlling their hardware. As regards to successfully productizing ML I’ve recently become convinced that Apple has been more successful at it than Google so far. Translation was already well within Google’s wheelhouse and they had been doing it for years, and their work with cameras is going to i…
Pixel is Google being aware of their handicap in this in-house hardware prototyping and research area, and ironically and obviously and predictably for Google, they apply ML to it too. Apple can come at this same problem from the hardware and software sides all at once, with their own internal dev cycles aligning with the yearly iOS/iPadOS software drops, and iPhone/iPad hardware drops timed to a month or two of each…
If there was a way to sideload apps then Amazon would probably create a 3rd party app store to compete with the main one. This would probably result in major apps moving over so they can abuse users in all kinds of ways banned from the app store.
I'm not really sure what the middle ground is here where iOS continues being the privacy OS while also letting the user do whatever they want.
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As someone that bought the first Android phone and now has an iPhone...it is extremely noticeable how much better Android is on these fronts. But depending on the person that gap may not be important. For me, it is night and day. I felt Google had a long way to go on these fronts, so I was stunned at just how bad Apple was :(.
As someone who switched to iOS from android I’ll second this. Also googles keyboard swipe is WAY better than the iOS implementation
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Apple photos should introduce an unlimited compressed picture upload like Google photos does
I mean Google is analyzing your photos for that service. You can pay for iCloud storage. I’m totally fine paying 2.99/mo for my wife and I to not worry about our backups or having space on our phones for photos.
Apple is behind in AI. Google has Google Lens, real-time transcription of audio recordings, live captions. And Google Assistant is leaps and bounds ahead of Siri in nearly every way. What is there in AI that Google doesn't beat Apple at?
I haven’t seen an Android phone with good face recognition yet.
Setting aside all the other work Apple is doing in this area, can someone explain why iMessage autocorrect is unacceptably bad (to put it diplomatically) in the era of weapons-grade language models? Its behavior is totally bizarre. It’s like an underpowered chess engine that makes flagrant blunders: capitalizing random words in the middle of a sentence (rock -> Rock), the context sensitivity of an actual rock, forcin…
As for specific errors, does rock capitalize when "the" is before it? (The Rock) The models learn from how users write. But when you think about it, it is actually fairly difficult to predict what words are going to be, you can test it with your friends. Have them create a sentence and feed you one word at a time. The better you know the person the better you'll do, but I'm guessing you still won't be that good.