• Apple’s progress with Siri and artificial intelligence has been slow, and features promised in June remain delayed.
  • At a Siri team meeting, senior director Robby Walker acknowledged the frustration within the team, describing the delays as “ugly.”
  • Features like Siri understanding personal context and taking action based on a user’s screen are still not ready and may not make it into iOS 19.
  • Challenges include quality issues that caused these features to malfunction up to a third of the time and conflicts with Apple’s marketing division over showcasing incomplete features.
  • Apple has withdrawn related advertisements and added disclaimers on its website, citing extended development times.
  • Senior executives, including Craig Federighi and John Giannandrea, are reportedly taking personal accountability for the delays.
  • Walker emphasized that the team’s work is impressive and that the delayed features will be released once they meet Apple’s standards.
  • IAmLamp@fedia.io
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    1 day ago

    Well, first they’ll need to dig up and reanimate the corpse of Jobs. It’s amazing to see how they repeat the same failure track when he’s not pushing them to innovate. Even when he was (back) in the top dog seat, they still fell behind the competition and took forever to come up with features that other companies had been doing for years.

    • baggachipz@sh.itjust.works
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      1 day ago

      That’s always been their MO though. Take a recent innovation, and implement it better. That always means it’s later than tech from other places, but they get it “right”. Yes, I know that’s subjective.

      In the case of AI, they scrambled to announce the feature with barely any work done on it. Had they kept mum about Apple Intelligence features for a year or so and then revealed, that would be the Apple way.

      • Aceticon@lemmy.dbzer0.com
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        3 hours ago

        Also by all indications the current direction in Machine Learning (stuff like LLM) is a dead end which will never yield a “reasoning artificial intelligence” (even whilst quite a lot of other areas in ML have already reached sufficient capabilities in their domain to actually be useful) so there really isn’t any space to “implement (the main subdomain of ML that has been promoted as) AI better” IMHO.

      • nickwitha_k (he/him)@lemmy.sdf.org
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        8 minutes ago

        It probably doesn’t help that the tech in question, LLMs, are kinda shit, to put it plainly. You make the shiniest, most polished turd and it’s still just a turd. They are interesting and can be neat to play with but, they lack practical applications where cost to run them actually makes sense and benefits humanity. The iPod shuffle was more impactful, when measuring positive impact on people’s lives.