What are Apple Pro Ai Acan’s options for confusion? – 9to5mac

The latest call of Self Apple, conversations about the potential acquisition of confusion have calmed down (the fact that confusion was reportedly reported red, did not help limiting content).

Meanwhile, with the constantly expanding number of engineers from her endowment models that jump the boat of the team, Apple’s fresh talent is needed on the day more urgent. But if the confusion is ne-go, who could buy Apple?

I dealt with a frequent argument Jason Snello on Upgrade The podcast that most Apple to be done would get into a small, unknown AI laboratory. A small team of brilliant engineers who build an exciting technique that could help Jumstart Apple AI push from the inside.

But I think it passed now. In addition, Apple’s Alreny tried it. Although it is unconfirmed, Reves suggests that Apple in 2023 was carried out by Apple 30+ acquisition AI, more than Google, Meta, Microsoft or Amazon, or even some of them.

And although these – they are gone and Apple has had fewer AI companies in recent years than its opponents, the fact remains: it does not matter the market expectations. Apple did not reach its own AI ambitions and promised.

Like one example: While OPENAI constantly improves the canvas tool on the chatgpt, and while anthropic improves the arteifacts tool to Claude, Apple writing tools (announced Year Before) they barely moved.

Then there is AI Siri Revamp, whose long list of well -affected affected affected.

At this point I believe that Apple needs more than a raw talent, especially given that the Cann seems to appear to be keep The raw talent he already has. What Apple needs is an infusion of technology with a product created by a company that has shown that it can actually supply products, preferably based on its own endowment model.

The problem is: This is a very short list.

Who could be good?

Openi is obviously off the table. It is also anthropically realistic. Let’s miss the two.

Confusion could be suitable for powering new Siri brains, but honestly … that’s about it. In addition, their focus seems elsewhere. Grant, built a great assistant based on artificial intelligence, but that’s like Amazon’s great TV shows. At the end of the day they want to keep you to sell you more toilet paper.

In the case of confusion, in addition to the assistant, it also builds quite good products around electronic trading, sports and finance, which naturally connect into search, which in turn is bound to viewing. Therefore, it also builds a comet, and that is Also Why it is clear that if Google is forced to sell Chrome, they want to be the first in line.

But with a valuation of $ 18 billion, it seems that Apple could get more bang for its money by looking elsewhere. Ideally, from a company that is better suitable for its ambitions and culture.

Could it be Mistral, French startup $ 10 billion per cat? Definitely.

Mistral has its foundation models, large models, small models, open source code models, consumer -oriented -oriented products, developers and large API list: OCR, fine fine -tuning, speech, file manipulation, classification, coding, EmbedDings, agency tasks, conversational workcours.

In addition, Mistral is also quite philosophically in accordance with Apple’s attitude to privacy and responsible AI development. Currently against current valuation and what Apple would actually get in return, and Mistral begins to look like theft.

There is still Aleph Alpha in Europe. The company based in Germany does not have public appreciation, but will increase almost $ 1 billion to financing. The problem is that it focuses on focusing on corporate and public AI (government, finance and industrial customers) rather than AI consumer oriented.

It would not be an unprecedented pivot in the history of the race, because Siri’s roots are great in military research. It is certainly a different time and context, but you get what I mean.

However, the team would probably be beeping a more motivated team, if it really depends on the building AI for problem, which are shaken outside consumer technology (and let’s be honest: Apple has not ranked it recently).

In addition, the list will thin down

There is AI2 that does fantastic work in open research and tools, there is Kimi on the basis of Beijing, a laboratory behind the impressive K2 model, there is a coheve (if you really want to push it), which leans towards developers or … This is largely.

I think there are dozens of small AI companies that do a great job, but it looks as Apple really wanted to get them, he would have done it. And a smaller scale means a less impact on the lower limit of Apple, and that’s not what they need right now.

And then, races, there is a new wave of companies that make noise based purely on the promise.

This is the case with the Mira Murati’s Thinking Machines Lab Lab, now worth $ 12 billion, to the promise of building a platform that will help scientists and startups to train and adapt their models.

Safe superintelliagence is also available, the Ilya Sutskever startup, which is already awarded north of $ 30 billion, although it has no plan and no product beyond its set goal -based system, which is inherently safe.

In the end, Apple’s possibilities are slim, and due to the sharp valuation of the border AI laboratories, they become slimmer daily. At present, I believe that Mistral stands out not only as the most suitable, but perhaps the last Apple, the best chance of correction of the race before the gap has grown even wider and harder to close.

AirPods offers on Amazon