I’ve read through Apple’s Intelligence architecture and I liked what I saw (context graph on device; how the integrations work; if doing remote inference only sending the relevant parts; the architecture of private compute).
I haven’t upgraded my phone in a while, and this will be the final push for me to get their next phone, personally, and I’ve been using ChatGPT and now Claude from the moment they got to a sensible level.
That all of them are taking their sweet time with this makes me think it was just hard to get something production-ready out that will work for 99% of the population well.
I know of one: transgender people often would like to alter the timbre of their voice and spend a lot of time training their voice. At least for online scenarios, this can just do it.
But other than that AI voice altering research seems like it benefits mostly scammers? I’m just wondering what they tell themselves they’re doing. I didn’t see this in the paper.
this is....more popular than i expected. the server's gonna be having some problems for a while
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Whether it's vibe coding, agentic coding, or copy pasting from the web interface to your editor, it's still sad to see the normalization of private (i.e., paid) LLM models. I like the progress that LLMs introduce and I see them as a powerful tool, but I cannot understand how programmers (whether complete nobodies or popular figures) dont mind adding a strong dependency on a third party in order to keep programming. Programming used to be (and still is, to a large extent) an activity that can be done with open and free tools. I am afraid that in a few years, that will no longer be possible (as in most programmers will be so tied to a paid LLM, that not using them would be like not using an IDE or vim nowadays), since everyone is using private LLMs. The excuse "but you earn six figures, what' $200/month to you?" doesn't really capture the issue here.