Mathematics Is No Longer Just for Humans: A 17-Year-Old Genius and AI Solve the Unsolvable

While the entire world debated when exactly Apple would finally "wake up" in the race for neural networks, in Cupertino, it seems, they decided to simply demolish the old house and build something completely different in its place. For a long time, Siri was that awkward relative at the technology party: she was sort of present, but everyone tried to avoid asking her to do anything complicated to avoid ending up in an embarrassing situation. Now Apple officially admits that the old methods are insufficient. The company has embarked on a sweeping overhaul that will affect not only the software, but the very management structure that determines the brand's future for decades to come.

The main news that makes Apple fans nervously swallow—this is the split of Siri into two versions. We're used to Apple making one product that "just works." But in the world of large language models (LLM), "just works" is no longer possible because of the harsh limitations of mobile hardware. The first version of Siri will remain local—it will be fast, private, and will be able to set timers even in a deep forest without internet. But the second version will become that very "smart friend" we've been waiting for for ten years. And here's where it gets really interesting: Apple, apparently, cannot cope alone and is calling on Google for help.

A partnership with Google and the integration of Gemini is a powerful signal to the entire market. Apple is essentially admitting that their own developments in generative AI are not yet up to the level of the leaders. For a company that has always prided itself on its "closed garden" and complete independence, this sounds like a quiet surrender.

But in fact, it's a pragmatic and even cynical move. Why spend billions of dollars trying to catch up with a departing train when you can license a ready-made solution while your engineers perfect secret projects in the depths of the labs? This will allow Tim Cook to buy time and not lose the loyal audience that has already started looking with interest toward Android with their built-in neural networks.

Parallel to the software changes in Cupertino, they're changing the "generals." John Ternus, increasingly called the most likely successor to Tim Cook as CEO, now also takes over the design department. This appointment says a lot. Apple wants the design of future devices and their AI innards to be created in a single creative impulse. If previously software was adjusted to fit the elegant chassis, now it seems the chassis of future Macs and iPhones will be designed around massive neural chips. Ternus is a "hardware" man, and his strengthening means Apple is betting on the physical embodiment of intelligence rather than just cloud services.

As for long-term plans, Apple is already preparing the groundwork for updated Macs that will launch in 2026. This is not just another processor update with a couple of extra cores. It seems we're in for a complete reconceptualization of how a computer interacts with a human being.

If Siri 2.0 really learns to control the operating system at a deep level, we'll finally get rid of endless clicking and move to true voice control. However, the main question remains open: will Apple be able to maintain its legendary mantra of one hundred percent privacy by letting algorithms from Google into the holy of holies—user data?

The answer to this question will determine whether Apple remains an industry icon or turns into just another supplier of casings for someone else's intelligence.

The main point: Apple is switching to emergency adaptation mode, sacrificing corporate pride for Google's technologies. Will Siri 2.0 become something more than just a wrapper for someone else's neural networks?