{"id":39524,"date":"2023-05-29T15:10:06","date_gmt":"2023-05-29T19:10:06","guid":{"rendered":"https:\/\/mjtsai.com\/blog\/?p=39524"},"modified":"2024-06-10T14:13:25","modified_gmt":"2024-06-10T18:13:25","slug":"apple-intelligence","status":"publish","type":"post","link":"https:\/\/mjtsai.com\/blog\/2023\/05\/29\/apple-intelligence\/","title":{"rendered":"Apple Intelligence"},"content":{"rendered":"

Daniel Jalkut<\/a>:<\/p>\n

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People are justifiably less confident about Apple’s prospective plans in the area of artificial intelligence (AI), and particularly in the realm of large language models: the technology behind such imagination-captivating products as OpenAI’s ChatGPT<\/a>, and GitHub Copilot<\/a> (which itself uses another OpenAI language model).<\/p>\n

I zeroed in on ChatGPT and Copilot because it’s easy to imagine the functionality of these services shining in the context of two important Apple products: Siri, and its Xcode developer tools. In fact, technology is advancing so quickly that the absence of something like ChatGPT<\/em> and something like Copilot<\/em> in these products seems likely to be viewed as major shortcoming in the near future, if it isn’t seen that way already.<\/p>\n

[…]<\/p>\n

Apple Intelligence won’t be as good as ChatGPT or GitHub Copilot, at least not to start with. But it will be Apple’s. They can frame the pros and cons however they see fit, working their typical marketing magic to make its shortcomings seem less important, if not downright advantageous.<\/p>\n<\/blockquote>\n

It would seem that Apple is way behind, not only in terms of announced products, but also because, as large language models become commoditized, access to proprietary training data<\/a> and integrations<\/a> will become key. Apple does have some unique data such as iTunes and App Store reviews, but these seem less useful than what its competitors have. Xcode Cloud could potentially be a great data source, but it, rightly, is designed for privacy<\/a>:<\/p>\n

Source code is only accessed for builds and the ephemeral build environments are destroyed when your build completes.<\/p><\/blockquote>\n

On the other hand, perhaps<\/a> we are not that far from fitting really useful, if not market-leading, models on<\/a> device<\/a>. Apple has great hardware to run them, which is already deployed. It could work offline and preserve your privacy. This could be easier and cheaper to scale up to large numbers of users than models running in data centers.<\/p>\n\n

Previously:<\/p>\n