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Fantastic reference. I remember pirating this from microcrap.com in about 1996.
> 1996 I'm chuckling at the idea of pirating software in 1996. iirc even in 1999, I couldn't figure out why Windows update required me to use internet exploder. It would take forever to download updates over dialup.
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The other day I was trying to navigate to a Costco in my car. So I opened google maps on Android Auto on the screen in my car and pressed the search box. My car won't allow me to type even while parked... so I have to speak to the Google Voice Assistant. I was in the map search, so I just said "Costco" and it said "I can't help with that right now, please try again later" or something of the sort. I tried a couple mo…
Siri on my Apple Home will default to turning off all the lights in the kitchen if it misunderstands anything. Much hilarity ensues
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Fantastic reference. I remember pirating this from microcrap.com in about 1996.
> 1996 I'm chuckling at the idea of pirating software in 1996. iirc even in 1999, I couldn't figure out why Windows update required me to use internet exploder. It would take forever to download updates over dialup.
Talk about being there when the deep magic was written.
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The point is that once Siri is switched to a Gemini-based model, the baseline presumably won't be low anymore.
Doubt it. Of all the issues I run into with Siri none could be solved by throwing AI slop at it. Case in point: if I ask Siri to play an album and it can't match the album name it just plays some random shit instead of erroring out.
Why is Apple's self-developed AI progressing so slowly that they still need to collaborate with Google? What's going on with their AI team? In this era of AI, it seems like Apple has already fallen behind.
They let others run that costly costly costly race. It's not where Apple is most competitive.
If nothing else, this was likely driven by Google being the most stable of the AI labs. Gemini is objectively a good model (whether it's #1 or #5 in ranking aside) so Apple can confidently deliver a good (enough) product. Also for Apple, they know their provider has ridiculously deep pockets, a good understanding and infrastructure in place for large enterprises, and a fairly diversified revenue stream. Going with An…
> Gemini is objectively a good model (whether it's #1 or #5 in ranking aside) so Apple can confidently deliver a good (enough) product Definitely. At at this point, Apple just needs to get anything out the door. It was nearly two years ago they sold a phone with features that still haven't shipped and the promise that Apple Intelligence would come in two months.
To the extent Cupertino fucked up, it's in having had this attitude when they rolled out Apple Intelligence.
There isn't currently a forcing function. Apple owns the iPhone, and that makes it an emperor among kings. Its wealth is also built on starting with user problems and then working backwards to the technology, versus embracing whatever's hot and trying to shove it down our throats.
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I'm genuinely curious about this too. If you really only need the language and common sense parts of an LLM -- not deep factual knowledge of every technical and cultural domain -- then aren't the public models great? Just exactly what you need? Nobody's using Siri for coding. Are there licensing issues regarding commercial use at scale or something?
Pure speculation, but I’d guess that an arrangement with Google comes with all sorts of ancillary support that will help things go smoothly: managed fine tuning/post-training, access to updated models as they become available, safety/content-related guarantees, reliability/availability terms so the whole thing doesn’t fall flat on launch day etc.
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It's a very low baseline with Siri, so almost anything would be an improvement.
Ollama! Why didn’t they just run Ollama and a public model! They’ve kept the last 10 years with a Siri who doesn’t know any contact named Chronometer only to require the best in class LLM?
Same reason they switched to Intel chips in the 2000s. They were better. Then Cupertino watched. And it learned. And it leapfrogged.
If I were Google, my fear would be Apple launching and then cutting the line at TSMC to mass produce custom silicon in the 2030s.
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For some context with numbers, in mid-2024 Apple publicly described 3B parameter foundation models. Gemini 3 Pro is about 1T today. https://machinelearning.apple.com/research/apple-intelligenc...
That 3B model is a local model that eventually got built into macOS 26. Gemini 3 Pro is a frontier model (cloud). They're very different things.