I think a lot of people are not hype about AI in their toaster, but... I don't think people are generally turned off form deeper integration in their OS itself. Especially when for some people this is representing ideas similar to how programmer-types get excited about Shortcuts.

Decently accessible automation and discovery, without having to go figure out a bunch of stuff

The competition has also attached it to a toxic brand and heavily integrated it with actively user-hostile applications. It doesn't matter if your tech is years ahead when people expect using it will mean your image content info will be sold to anyone willing to pay a cent for it.

Remember when Google added Car Crash Detection to Pixel in early 2020? Nobody does.

But when Apple added it in iPhone 14 (2022)...

But everyone talks about it like it was Apple, and isn’t that what matters (to Apple)?

You can explain away every failed product launch with "it's a developer product", not meant for consumers.

This wasn't like HoloLens or Google Glass. They marketed these devices to consumers and then sold these devices to consumers.

Depending on price I would or would not buy an Apple car; but I am quite interested in options for a car that (1) is electric; (2) doesn't spy on me and sell my data; (3) doesn't take video of me and my passengers and do weird things with it; and (4) doesn't support Republicans / white supremacists / Elon Musk.

And I imagine that like-minded consumers are a pretty large market.

All the king's horses and all the king's men couldn't come up with a killer app.

How is changing the architecture of a platform that only you make hardware for doing the impossible?

They could change the architecture again tonight, and start releasing new machines with it. The users will adopt because there is literally no other choice.

Every machine they release will be fastest and most capable on the platform, because there is no other option

It's also notably not the first time they switched. They did the Motorola (I think MIPS?) Archictecure, then IBM PowerPC, then Intel x86 (for a single generation, then x86_64) and now Apple M-Series.

None of those are the best product in their category, and all are only huge sellers because Apple anti-competitively privileges them in its ecosystem.

Apple's AI stuff also uses cloud features, though you can't use them on other platforms. The problem with Apple's new cloud features is that they generally just suck. I'm surprised iCloud works so well with how hard they're fumbling basic stuff like this.

Siri does not do it fine, it's literally the example the above commenter showed.

I would argue that they are as bad as each other. I have to repeat most voice commands to Siri and Alexa than getting it right first time. No experience with Google.

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.

> How do you know Gemini is losing money on inference?

It's not. People make this claim with zero evidence.

But Google made around $20B profit on Google search in 2025 Q4, and that includes AI search.