The article reports that the staff was surprised by the relocation, which Apple had indicated would involve a move to another campus in San Diego by the end of January, rather than going to Texas.
Apple has mostly avoided layoffs as other companies have made heavy cuts over the last two years.
The San Diego team reportedly listens to Siri recordings in multiple languages, including Hebrew, English, Spanish, and Arabic.
Apple has generally been perceived as being behind the AI curve, at least when it comes to its digital assistant, despite using people to quality check Siri recordings, as Google and Meta also do.
That perception didn’t change with the introduction of LLMs, but Apple has been pouring vast resources into catching up, and it’s reportedly been courting news outlets to buy training data.
It recently released its so-called frameworks and libraries supporting AI development on code repositories and is working on optimizing LLMs for use on its iPhones.
The original article contains 348 words, the summary contains 159 words. Saved 54%. I’m a bot and I’m open source!
This is the best summary I could come up with:
The article reports that the staff was surprised by the relocation, which Apple had indicated would involve a move to another campus in San Diego by the end of January, rather than going to Texas.
Apple has mostly avoided layoffs as other companies have made heavy cuts over the last two years.
The San Diego team reportedly listens to Siri recordings in multiple languages, including Hebrew, English, Spanish, and Arabic.
Apple has generally been perceived as being behind the AI curve, at least when it comes to its digital assistant, despite using people to quality check Siri recordings, as Google and Meta also do.
That perception didn’t change with the introduction of LLMs, but Apple has been pouring vast resources into catching up, and it’s reportedly been courting news outlets to buy training data.
It recently released its so-called frameworks and libraries supporting AI development on code repositories and is working on optimizing LLMs for use on its iPhones.
The original article contains 348 words, the summary contains 159 words. Saved 54%. I’m a bot and I’m open source!