In the early hours of July 13, Beijing time, Musk announced on Twitter: "xAI is officially established, to understand reality." Musk said that the reason for launching xAI is to "understand the true nature of the universe." It has been half a year since Ghat GPT was born, and the "Hundred Models War" at home and abroad is intensifying. What do you think of the current situation and development of AI large models?
"Anti-AI fighter" Musk enters AI, what do you think?
Musk is an idealistic and hard-working big man. From Tesla, the acquisition of Twitter, the creation of SpaceX to build rockets, etc., it can be seen that every time is a big event.
This time, Musk specially established the xAI company. The reason for launching it is to understand the true nature of the universe. In addition, it can also provide great help for the exploration that he has always wanted to immigrate to Mars .
The advantage of a large model is that it can process all kinds of information in a timely manner and make accurate predictions. For Musk's SpaceX company, the various robots developed will also appear in this established company.
Looking back at the "Hundred Models War" in the first half of the year, how is China's AI industry doing?
On July 6, the 2023 World Artificial Intelligence Conference was held in Shanghai. Within 2 days, more than 10 large-scale new products were released or announced to be released soon. What do you think are the prospects and challenges of China's AI industry?
The market for China's AI industry is very large, and the current digital economy is the second largest in the world. For digital infrastructure, we can see the rapid development in the past few years, the large number of applications of 5G base stations and the strong support of semiconductor chips, we can see China's confidence and strength in this regard.
Microsoft and Nvidia are jointly making super super large models. China's top companies are also making moves in the field of artificial intelligence. Baidu, Ali, HKUST Xunfei, Huawei, etc. have released their own large models, and the effect after iteration is also constantly improving.
Is it necessary to spend a lot of money to make super super large models? In my humble opinion, small models can be made at this stage, because computing power is the foundation, just like the foundation of building a house. Without computing power, everything is nonsense, and everyone understands it.
On the one hand, enterprises can focus on the application of models, releasing professional "small models" (compared to super super large models) in various fields to revitalize the AI application industry; on the other hand, the prospect of domestic chips, hoping to have a big breakthrough as soon as possible.
Direction 3: How can the fire of the AI large model be burned?
In addition to the training of models in different fields mentioned above, so as to apply them to specific fields, it is more important to popularize the basic knowledge of the model, so that schools can actively develop it, and not just focus on the research and development of models by enterprises, so that our AI talents will continue to emerge .
Google has quietly ranked first in the world in many fields. The recent medical large-scale model Med-PaLM has a score as high as 92.6%, which has reached the level of clinicians . From this point, we can see the advantages of large-scale models, and we can also imagine what the future will be like. It will definitely revolutionize every industry.
In this regard, what do you think about Musk's establishment of xAI company and the development of China's future large-scale model? Welcome to discuss!