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> It’s now clear that Apple knows how to train frontier model-quality models, but it’s simply choosing to lay low. Apple’s server-side models running in the Pri
by IMTDb 2y ago
> It’s now clear that Apple knows how to train frontier model-quality models, but it’s simply choosing to lay low. Apple’s server-side models running in the Private Cloud Compute are apparently quite near the GPT-4o in terms of quality
I really don't see where this comes from. Apple has been deploying Siri for a decade. Despite this, Siri is still a steaming pile of cow dung. In few months, OpenAI built a working Siri, something that no-one at Apple was remotely close to achiving.
The fact that Apple signed a deal with OpenAI and includes GPT-4o as an alternative option is a clear sign that Apple server-side models are really not anywhere near GPT-4o. If they were, Apple wouldn't have signed this deal which is so unlike them.
To me, it really looks like Apple is late to the party in terms of LLM. They are betting that within a few years, high quality models will be commoditised and that having an ecosystem that leverages them properly will be the differentiator. Until then they are reluctantly incorporating the market leader in order not mis the train.
- troupo 2y ago> something that no-one at Apple was remotely close to achiving. Probably due to internal political wars. Apparently they had an internal lightweight version outperforming existing Siri, but the team never got anywhere with it: https://daringfireball.net/linked/2024/06/06/how-the-wall-street-journal-fell-behind-in-the-apple-is-behind-on-ai-arms-race https://daringfireball.net/linked/2024/06/06/how-the-wall-st...