After the emergence of ChatGPT, HE Tuberdiscussions about productivity and value have occurred frequently. Behind this, in fact, hidden are our expectations and worries about new technologies. At this time, we might as well first understand the development source and future of AI technology. Let’s take a look at the observations and sharing in this article.

 Xiaohu’s view that “ChatGPT is very unfriendly to startups. In the next two to three years, everyone is asked to give up their financing fantasies.” He also said, “Half of the startups in Silicon Valley started around ChatGPT. , investors can still be so ignorant and fearless.”

Later, Zhu Xiaohu retorted at the bottom of his post that 99% of the value is created by GPT. What value does such a startup have?

in their circle of friends to discuss the value subversion brought about by new technologies.

Since the emergence of ChatGPT and triggered a wave of AI, there have been endless discussions about the value of enterprises and the value of people. There is excitement about seeing that new technologies will change lives, worries about their own careers and enterprises being replaced, and pregnant women. Confusion on the eve of technological change. These emotions largely stem from the fact that we don’t know where AI technology comes from and where it is going.

 AI industry and formed the top ten observations on AI, which are summarized today for communication and discussion with readers.

1. AI efficiency improvement started ten years ago

Ten years ago, a Japanese team came to Shenzhen to build a small-scale chip patch factory. Jiang Keyue, a senior practitioner in the AI ​​industry, felt the impact of intelligent manufacturing for the first time when she visited. When the robot hand of the placement machine grabs the chip, the yield rate of the fingernail-sized chip on the circuit board can reach 99.0%, and it is basically difficult to make mistakes.

 front of the factory director's desk through internal networking. At that time, touch screens were scarce and mobile phones were still clamshell machines. The factory director can see the production status of the entire assembly line and the real-time yield rate of the patch through the screen. Product yield testing is also done by machines, and there is no need to design a specially designed testing department.

In other words, the earliest machine tube machine was basically realized ten years ago.

The development process of enterprises using AI to improve efficiency is continuous. It is like a train traveling from the past to the future. We used to think that this car was far away, its speed seemed very slow, and even its appearance was not very clear, and its impact on us was not great.

But as this train slowly drives towards us, you will find that it has never stopped. Its voice continues to amplify, its appearance becomes clearer, and its speed becomes faster and faster, so that now almost everyone can feel the impact of AI.

In the eyes of many people, with the introduction of large models such as ChatGPT and Wen Xinyiyan, AI suddenly emerged. Actually not. For example, the Wenxin traffic model that Baidu initially built was also a generative intelligent model based on big data. Suppose we want to go somewhere in Beijing, it can generate several routes for people to choose from based on commands.

Just like Huawei, it has been engaged in product sales and research and development since the 1980s, but it was only after 2005 that the Huawei brand was accepted by the public. In fact, by that time it had become a giant.

This is mainly because Huawei previously made industry-level applications and began to make mobile communication terminals such as mobile phones. Nowadays, most of the computer rooms of China Mobile and China Unicom are equipped with Huawei equipment. Industry barriers have led to relatively high thresholds for Huawei's products, so they are not known to the public.

For AI, ChatGPT is like Huawei putting a mobile phone in front of you. When we can all communicate with it, ChatGPT acts as a key to open the valve, allowing everyone to feel the waterfall of AI.