Google releases Android 14 and new phones, but it's all about AI! What does it signify?

Tech 2023-10-11 05:54:16 Source: Network

Although Google is a traditional giant in the AI field, it has always lagged behind OpenAI and Microsoft in terms of generative AI. Recently, they plan to make some new attempts with their killer Android system

Although Google is a traditional giant in the AI field, it has always lagged behind OpenAI and Microsoft in terms of generative AI. Recently, they plan to make some new attempts with their killer Android system.

On October 4th Eastern Time, Google held a "make by Google" event in New York, releasing the Pixel series of new phones, watches, and Bluetooth headphone hardware, as well as the latest Android 14 system.

You should know that 'Made by Google' was originally a hardware launch event held annually by Google, but this time the focus is not on hardware, but on generative AI!

Specifically, Google has armed AI with numerous basic functions for daily use on mobile phones.For example, many people nowadays like to take photos with their phones, but when you take a group photo, there are always people who don't have a good expression, some close their eyes, and some have serious expressions.

Google has incorporated an AI image editing feature called "MagicEditor" into its photography function, which allows you to freely select characters and change facial expressions with just one click, so you don't have to constantly retake. This feature can also be used to change lighting and background, such as changing the gray sky to dusk in the evening.

Moreover, when zooming in on photos in the past, the image gradually became blurry. Google has introduced the image zooming function "ZoomEnhance", which uses generative AI to automatically add image details, allowing users to freely zoom in on photos.

Dina Berrada, Director of Product Management at Google Photos, said that they will also add more generative AI features to image editing, in other words, AI will change the experience of mobile photography.

In addition to taking photos, people also use their phones to take videos and record recordings. Google has developed an AI sound editing tool called "AudioMagicEraser", which can reduce unnecessary noise in videos, such as wind or noisy human voices. Users can also use the AI video enhancement feature "VideoBoost" to adjust the color, lighting, stability, and graininess of the video.

In addition, they have also implanted some conventional generative AI text processing functions, such as generating web page abstracts, reading and translating web pages, etc. In the future, they will also launch the AI assistant "AssistantWithBard", which can automatically generate social media files based on user photos of pet dogs, and can also help people read emails, make travel plans, edit text messages, and so on.

That is to say,The basic functions that people often use on their phones, such as taking photos, videos, recording, browsing web pages, and sending messages, have been transformed by generative AI.

Moreover, Google has specially equipped TensorG3 chips for new AI functions, integrating machine learning algorithms directly into the chips, allowing AI calculations to be completed directly on the mobile end without waiting for cloud computing results.

So, what kind of industry trends does this portend and what new opportunities are lurking?

It can be expected that in the future, all applications on smartphones will be AI oriented, and smartphones will also become truly artificial intelligence phones.

This reminds me of a few years ago, someone was shouting that mobile phones would disappear within five years,I have publicly expressed my opinion that not only will mobile phones not die out, but their role will also be more powerful. Just like when the earliest Pad was defined as PDA (Personal Digital Assistant), I defined the future mobile phone as PIA (Personal Intelligent Assistant). Now, it seems that mobile phones are becoming everyone's smart assistant.

In fact, Google has made leading explorations. Although some features are still in the preheating stage, the Android system, as the largest underlying operating system in the smartphone field, will inevitably drive similar updates from other manufacturers such as Samsung, Xiaomi, OPPO, VIVO, and so on.

Moreover, mobile hardware is also preparing for AI applications. Not only has Google upgraded the TensorG3 chip, but Apple's A17PRO chip also enhances AI computing power. Qualcomm's upcoming Snapdragon 8Gen3 chip will also be equipped with the latest Hexagon hexagonal processor, with the aim of efficiently handling various AI tasks.

This means that both the mobile operating system and hardware are initially prepared for generative AI, and we will usher in a great boom in AI applications.

In the future, applications without AI will fall behind and become antique level applications of the previous era, just like launching feature machines in the era of mobile internet.

However, from the perspective of mobile AI applications released by Google, most of them are still performance enhancements of the original functions, while mobile applications released by AI companies such as OpenAI only copy or simplify the functions of the webpage. It is believed that in the future, there will be more and more AI enhanced applications based on traditional functions.

But the problem is that AI enhancement is likely to benefit traditional giants, while for entrepreneurs, they need to create new applications in order to occupy a favorable position.

It should be noted that after upgrading from the internet to the mobile internet, many unprecedented application forms have emerged, and even new industries have emerged, such as map services based on mobile internet and satellite communication, taxi services, and convenient and fast delivery services. In this process, many new star enterprises have also emerged, such as Didi, Meituan, and so on.

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But the key is that the thinking behind creating AI native applications may be completely different from traditional applications. At the beginning of the project, generative AI should be considered as the core driving force of the application, and then other functions should be integrated to create a new form of application.

However, the beginning of everything is to become an early user of AI, engage in long-term and in-depth interaction with it, form one's own unique understanding and insight into AI, and based on this, find market demands that match it, which may create highly valuable AI native applications.

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Wang Yuquan is the founding partner of Haiyin Capital

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