


A disruptor to the big model business? Aside from Google and Microsoft, you probably forgot about it!
The business drama of large models is becoming more and more exciting. Here is the imminent arms race between Google and OpenAI, and there is a snowflake-like influx of powerful large model applications from all walks of life. You will sing and I will appear.
Among the names of companies and research institutes that emerged as pioneers of large models, everyone seemed to have overlooked a giant company, Apple.
In the current wave of large models, Apple seems to be unusually silent. Unlike Open AI and Google, a big news hit the front page in a few days, but if you think about it carefully, under the concept of GPT flying in the sky, it seems that it has an absolute advantage in the commercialization of large models. It is precisely this silent apple. Twitter blogger Sully tweeted on the 27th that "Apple may be the potential changer of the entire AI ecosystem", which aroused widespread discussion:
From the beginning From the computing tool that occupied a huge area in the laboratory to the personal computer that can be placed at home, and now everyone has a smartphone, Apple has been involved in two huge revolutions in the computer business field. And now the emergence of these large-scale language models seems to have opened a gap in the next evolution of computers.
We can imagine that the next computer revolution after the smartphone is likely to bring us a Jarvis-style truly intelligent personal assistant. And what is the most well-known interactive language assistant today? The answer is probably "Hi Siri".
If we continue to think along this path, what is the difference between the current large model and this kind of intelligent assistant? The most intuitive answer is that its computing requirements are too high, and it is almost impossible for us to make such a thing actually run on our mobile phones.
#But what if a highly optimized, smaller ChatGPT is embedded into the phone? This may bring us endless imagination. Just this month, Chrome announced WebGPU, and a 19-year-old developer built WebGPT. What can it do? In short, it can run any GPT model completely within Chrome.
What will this bring? A personal assistant that can run on the iPhone, it can help you do a lot of things in a completely interactive way. Siri based on large models is definitely no longer limited to setting off fireworks and telling you jokes, but can actually as a tool for everything on the web. It can calculate, it can reason, it can write programs, it can use every interface that smartphones and the Internet now bring us.
So why Apple? A: This is not just because Apple has close to 2 billion devices worldwide, but also because Apple is currently one of the strongest companies in computing hardware. Currently, the unresolved problem with these so-called large models that can be run locally is speed, often they take 30-60 seconds to respond to an answer, but ChatGPT may only take 3 seconds. Another recent news is that open source enthusiasts successfully ran LLaMA with 7B and 13B parameters in Apple's 64GB M2 MacBook Pro. This represents the unlimited potential of Apple's hardware, and this is only the open source community version. If Apple concentrates its technical team on solving problems, we may not be surprised that Apple can do better.
Imagine a business blueprint in which Apple binds a large-model personal assistant to users through iPhones and many other devices in Apple’s family bucket, integrating AI services into Among all our existing application scenarios such as social networking, travel, office, etc., in this most ideal future, how much market value will Apple become?
Of course, the only question may be "when." Sully pointed out that Apple is famous for its slow product development speed, so will Apple miss out on what may be the biggest technological revolution since the advent of the Internet? Let's eat quietly and wait and see.
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