Gemma4 in my view is good enough to do things similar to Gemini 2.5 flash, meaning if I point it code and ask for help and there is a problem with the code it’ll answer correctly in terms of suggestions but it’s not great at using all tools or one shooting things that require a lot of context or “expert knowledge” If a couple more iterations of this, say gemma6 is as good as current opus and runs completely locally o…
Apple's accidental moat: How the "AI Loser" may end up winning
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Re: Apple's accidental moat: How the "AI Loser" may end up winning
#42Re: Apple's accidental moat: How the "AI Loser" may end up winning
#43Re: Apple's accidental moat: How the "AI Loser" may end up winning
#44But why do I feel like the quality of the software from Apple declined sharply in recent years? The liquid glass design feels very unpolished and not well thought out throughout almost everywhere… seems like even Apple can’t resist falling victim to AI slop
Rather, I feel that Apple has forgotten its roots. The Mac was “the computer for the rest of us,” and there were usability guidelines backed by research. What made the Mac stand out against Windows during a time when Windows had 95%+ marketshare was the Mac’s ease of use. The Mac really stood out in the 2000s, with Panther and Tiger being compelling alternatives to Windows XP.
I think Apple is less perfectionistic about its software than it was 15-20 years ago. I don’t know what caused this change, but I have a few hunches:
0. There’s no Steve Jobs.
1. When the competition is Windows and Android, and where there’s no other commercial competitors, there’s a temptation to just be marginally better than Windows/Android than to be the absolute best. Windows’ shooting itself in the foot doesn’t help matters.
2. The amazing performance and energy efficiency of Apple Silicon is carrying the Mac.
3. Many of the people who shaped the culture of Apple’s software from the 1980s to the 2000s are retired or have even passed away. Additionally, there are not a lot of young software developers who have heard of people like Larry Tesler, Bill Atkinson, Bruce Tognazzini, Don Norman, and other people who shaped Apple’s UI/UX principles.
4. Speaking of Bruce Tognazzini and Don Norman, I am reminded of this 2015 article (https://www.fastcompany.com/3053406/how-apple-is-giving-desi...) where they criticized Apple’s design as being focused on form over function. It’s only gotten worse since 2015. The saving grace for Apple is that the rest of the industry has gone even further in reducing usability.
I think what it will take for Apple to readopt its perfectionism is if competition forced it to.
Re: Apple's accidental moat: How the "AI Loser" may end up winning
#45But... what's the argument that the bulk of "AI value" in the coming decade is going to be... Siri Queries?! That seems ridiculous on its face.
You don't code with Siri, you don't coordinate automated workforces with Siri, you don't use Siri to replace your customer service department, you don't use Siri to build your documentation collation system. You don't implement your auto-kill weaponry system in Siri. And Siri isn't going to be the face of SkyNet and the death of human society.
Siri is what you use to get your iPhone to do random stuff. And it's great. But ... the world is a whole lot bigger than that.
Re: Apple's accidental moat: How the "AI Loser" may end up winning
#46This is the classic apple approach - wait to understand what the thing is capable of doing (aka let others make sunk investments), envision a solution that is way better than the competition and then architect a path to building a leapfrog product that builds a large lead.
When have they done that since the first iPhone in 2007? The watch maybe? Though not sure that's "leapfrog" better than anyone else's smartwatch, but I don't have one so maybe I'm wrong.
Re: Apple's accidental moat: How the "AI Loser" may end up winning
#47Earlier quoted context omitted.
How do you know Gemini is losing money on inference?
They're talking about free inference like Android and Google Home devices. No one is paying subscription fees for these and they're running their inference in the cloud. Apple Intelligence, for the most part, is running on the device.
Re: Apple's accidental moat: How the "AI Loser" may end up winning
#48Re: Apple's accidental moat: How the "AI Loser" may end up winning
#49This is the classic apple approach - wait to understand what the thing is capable of doing (aka let others make sunk investments), envision a solution that is way better than the competition and then architect a path to building a leapfrog product that builds a large lead.
> wait to understand what the thing is capable of doing My parents use Android to ask “What are the 5 biggest towers in Chicago” or “Remove the people on my picture” while apparently iPhone is only capable of doing “Hey Siri start the Chronometer / There is no contact named Chronometer in your phone”. My iPhone is lagging a ridiculous 10 years behind. It’s just that I don’t trust Google with my credit card.
Re: Apple's accidental moat: How the "AI Loser" may end up winning
#50Nvidia restricts gamer cards in data centers through licensing, eventually they will probably release a cheaper consumer AI card to corner the local AI market that can't be used in data centers if they feel too much of a threat from Apple. Imagine a future where Nvidia sells the exact same product at completely different prices, cheap for those using local models, and expensive for those deploying proprietary models…