Comment by anamexis
The point is that once Siri is switched to a Gemini-based model, the baseline presumably won't be low anymore.
The point is that once Siri is switched to a Gemini-based model, the baseline presumably won't be low anymore.
> But I don’t see why the actual software integration part needs to be difficult.
That’s not the issue. The issue is that once Gemini is in place as the intelligence behind Siri, the bar is now much higher than today and so you have to be more careful if you consider replacing Gemini, because you’re as likely as not to make Siri worse. Maybe more likely to make it worse.
Oh well that’s a good problem to have, isn’t it? Siri being so good that they don’t want to mess it up.
That gives them plenty of runway to test and optimize new models internally before release and not feel like they need to rush them out because Siri sucks.
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.
Um if I ask an LLM about a fake band it literally say I couldn't find any songs by the fake band did you type is correctly and it's about a millions times more likely to guess correctly. Why do you say it doesn't solve loads of things? I'm more concerned about the problems it creates (prompt injection, hallucinations in important work, bad logic in code), the actual functionality will be fantastic compared to Siri right now!
Why do you say it doesn't solve loads of things?
Um if I ask an LLM about a fake band it literally say I couldn't find any
songs by the fake band did you type is correctly and it's about a millions
times more likely to guess correctly
I’m not so sure. Just think about coding assistants with MCP based tools. I can use multiple different models in GitHub Copilot and get good results with similarly capable models.
Siri’s functionality and OS integration could be exposed in a similar, industry-standard way via tools provided to the model.
Then any other model can be swapped in quite easily. Of course, they may still want to do fine tuning, quantization, performance optimization for Apple’s hardware, etc.
But I don’t see why the actual software integration part needs to be difficult.