Why Apple believes it’s an AI leader–and why it says critics have it all wrong
This piece is interesting because Apple was saying this all along but no one really believed them because it sounded like excuse making. But here JG is basically saying the same thing:<p>&gt;Yes, I understand this perception of bigger models in data centers somehow are more accurate, but it&#x27;s actually wrong. It&#x27;s actually technically wrong. It&#x27;s better to run the model close to the data, rather than moving the data around. And whether that&#x27;s location data—like what are you doing— [or] exercise data—what&#x27;s the accelerometer doing in your phone—it&#x27;s just better to be close to the source of the data, and so it&#x27;s also privacy preserving.<p>A few years ago was when this narrative was at its peak and I believe it was mostly because Google (and to a lesser extent Facebook) were talking about machine learning and AI in basically every public communication. What came of it? Were all the people who claimed Apple&#x27;s privacy stance would leave them in the dust proven right? For one, being &quot;good at machine learning&quot; is like saying you&#x27;re good at database technology. It&#x27;s a building block, not a product. Maybe Google and Facebook are doing cutting edge research in the field, but so was Xerox PARC.