541–550 of 674 posts
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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.
Forget Siri, I have a much lower bar — I’ll be happy if they just improve iOS typing corrections/completions, which often don’t make any sense given the rest of the sentence.
Not just rest of the sentence. In my opinion, autocorrect desperately needs to take into account the context of the current screen. There are many times I want to type the same word that is already on the app screen but it autocorrects me to something completely different.
The current system suggests words I have never used, will never use and have never heard before instead of the obvious choice.
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Weeeeelllll that was mainstream a long long time before they adopted it. And I'm still annoyed that the only devices with Lightning in our house are my Airpods en iPhone mini 12 and wife's iPhone 14 Pro. Always need to attach an adapter to my Anker chargers and powerbanks.
I think the person you’re replying to meant MacBooks. They were USB-C exclusively way before Windows machines.
I hope they can forgive me for doubting their benevolent wisdom, I promise never to do it again.
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It is more like Apple have no need to spend billions on training with questionable ROI when it can just rent from one of the commodity foundation model labs.
It’s such a commodity that there are only 3 SOTA labs left and no one can catch them. I’m sure it’ll be consolidated further in the future and you’re going to be left with a natural monopoly or duopoly. Apple has no control over the most important change to tech. They have control to Google.
No one can outpace them in improving the SOTA, everyone can catch up to them. Why are open-weight models perpetually 6 months behind the SOTA? Given enough data harvested from SOTA models you can eventually distill them.
The biggest differentiator when training better models are not some new fancy architectural improvements (even the current SOTA transformer architectures are very similar to e.g. the ancient GPT-2), but high quality training data. And if your shiny new SOTA model is hooked into a publicly available API, guess what - you've just exposed a training data generator for everyone to use. (That's one of the reasons why SOTA labs hide their reasoning chains, even though those are genuinely useful for users - they don't want others to distill their models.)
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> Definitely. At at this point, Apple just needs to get anything out the door They don't though, Android is clearly ahead in AI integration (even Samsung are running TV ads mocking iPhones AI capability) yet still iPhones sales are breaking records - the majority of their phone buyers still prefer an iPhone over an AI capable other phone. They can take their time to develop AI integration that others can't deploy - '…
The reality is that almost nobody actually wants LLMs in their phones. They're not good enough for that usecase, currently - so almost all interactions make the UX worse, currently. Might change in the future, I'm just taking about today in January 2026
I don’t think that’s true. People just use the LLM apps. What people don’t feel like they need right now is deep LLM integration across the whole OS. IMO, that’s more of just not showing people the killer product yet.
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"pace at which the models are getting smart is accelerating". The pace is decelerating.
My impression is that solar (and maybe wind?) energy have benefited from learning-by-doing [1][2] that has resulted in lower costs and/or improved performance each year. It seems reasonable to me that a similar process will apply to AI (at least in the long run). The rate of learning could be seen as a "pace" of improvement. I'm curious, do you have a reference for the deceleration of pace that you refer to? [1] http…
If its reasonable, then reason it. Because it is a highly apples to oranges comparison you are making
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The reality is that almost nobody actually wants LLMs in their phones. They're not good enough for that usecase, currently - so almost all interactions make the UX worse, currently. Might change in the future, I'm just taking about today in January 2026
I’m almost certain even something as ad-hoc as Opus 4.5 with access to iOS native APIs at the level of Siri exposed via MCP would run circles around Siri in January 2026.
Pity they don't have their own thing at that level. They had a great start introducing Siri then totally missed the train.