![]() ![]() Everyone has long understood that the "personal assistant" represents really the pinnacle of not just what AI but the personal computer should be able to offer - the mistake this past decade was thinking that had to do with then current ML paradigms or with these completely useless voice agents. Honestly, it speaks mountains to Apple as an organisation that they did not invest all of their resources into Siri, especially when you consider how Amazon invested in Alexa etc. ![]() Ramblings over, just wanted to ask you to opine as to Apple LLM related information if you have any additional context! The OCR stuff in Photos is cool and useful and I use it every day, usually to look up my Known Traveler Number. The Neural Engine architecture especially considering M1/M2 hardware leaps (which are absolutely mind-bogglingly impressive) are both really superb technologies from my layman view as a mere software engineer, with improved battery life as well as performance, a real improvement over Intel x86 architectures - I just don't see Apple as a serious AI player right now, despite head start in AI w/ Siri acq, despite these hardware leaps that may make it easier to do cool stuff in the future like this post. But I am not an expert with these systems or APIs. It can do cookie-cutter, super well-traveled code paths that were engineered together for demos, basically just one off tricks without cohesion, but the whole infrastructure around Siri is not open and has not been improved in any way in many OS versions in any way that I've discerned. I haven't built anything against Siri APIs, but I've used Siri and various integrations and every single time I give her a shot, she disappoints me. Apple has a ridiculous, almost unfathomably deep moat for training and running personalised, customised LLMs and other AI models on the 'edge' with these Apple Silicon chips in all their devices.ĭo they? I can completely fathom, given my own anecdotal experiences, how garbage Siri quality is today. ![]()
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