Apple, the biggest tech company faced a challenge with innovation when ChatGPT and other AI frenzy tools took the industry under their wraps. The tech giant completely focused on making electronic gadgets with hints of AI. But the company is now preparing its response and plans to develop features for its full range of devices.
One of the most intense activity being conducted in Apple Inc. is preparing the company to be able sweep the AI frenzy. More importantly re-claim the technology industry.
The Cupertino based company were mostly on the passenger seat when the AI trend took the world and the industry by a tsunami. Companies like Microsoft and Google responded by making their AI search engines, which gave human-like replies to some queries bounced at them. Apple’s only notable AI update during that phase was an improved auto-correct system in iOS 17.
Recently, Apple CEO, Tim Cook revealed that the company has been working on ‘Generative AI Technology’ for years now. Although, a notable source within the Apple vicinity confirmed that the AI storm caught every official off-guard. “There’s a lot of anxiety about this and it’s considered a pretty big miss internally,” a person with knowledge of the matter told Power On.
Talking about making strides, Apple did make some note-worthy efforts as they introduced their own language called Ajax and also introduced a ChatBot called ‘AppleGPT‘ to test its capacity. The next crucial step remains to be determined whether this is up to the high quality standards or not and how does it fits in the next-gen Apple products.
Meet the brains behind Apple’s AI strides
Eddy Cue and Craig Federghi
Cue’s group is examining how generative AI can be used to help people write in apps like Pages or auto-create slide decks in Keynote. Again, this is similar to what Microsoft has already launched for its Word and PowerPoint apps. Apple is also testing generative AI for internal customer service apps within its AppleCare group.
One major doubt among the Apple team remains how to deploy generative AI? Should it be a complete on-device experience? Or a cloud based set-up? or something in between? An on-device approach would work faster and help safeguard privacy, but deploying Apple’s LLMs via the cloud would allow for more advanced operations. The on-device strategy also makes it harder for Apple to update its technology and adapt to a fast-changing industry.
Apple knows the AI will be the centric word for quite a few decades now and it cannot afford to take the back-seat. The stakes of getting this right remain on the highest level possible. The question is, will the tech-giants change AI forever?