To be honest, when I saw Racer make such a big move in the field of AI programming, I was quite curious about what kind of chess this platform that started out as a short video was playing.KAT-Coder is really eye-opening, but Racer's AI ambitions are obviously more than that. Looking at their recent actions, you will find that the company is quietly building an AI ecosystem covering multiple dimensions such as content creation, business marketing, user experience, etc., and the layout speed is much faster than imagined.

The AI Revolution in Content Creation
You may not know that Racer started to test the waters in the field of video content generation as early as 2021. Last year, their platform "Fast Hand Cloud Cut" was connected to the AIGC function, which can help creators generate video scripts and intelligent editing materials with one click. What's more, their self-developed "Fast Shadow" App now supports AI virtual anchor function - just enter the text, you can generate a realistic digital person to broadcast. This makes me wonder: in the future we brush to the video, will a large part of the AI generated?
Intelligent upgrading of e-commerce scenarios
Live e-commerce is the core business of Racer, and AI is completely changing the way this track is played. Last year, during the double 11 period, fast hand launched the "intelligent virtual live assistant", which can analyze the live data in real time and automatically generate interactive conversation suggestions. More powerful is their commodity recommendation algorithm - now not only can recommend goods according to user browsing records, but also by analyzing the characteristics of the goods in the live screen, real-time matching similar products. A friend who does clothing told me that after using Racer's AI product selection tool, the conversion rate of the live broadcast room was directly increased by 30%, which is too exaggerated!
Comprehensive layout of the underlying technology
In addition to the application layer, Racer's investment in AI underlying technology is also unambiguous. Their "StreamLake" technology brand has formed a complete AI infrastructure matrix, including visual computing, speech recognition, natural language processing and other technology modules. Particularly worth mentioning is the video comprehension technology of Racer - it is said to be able to automatically recognize thousands of scenes and objects in videos, with an accuracy rate as high as 95% or more. This technology is not only used in content auditing, but also provides accurate scene matching for advertising, which really puts AI to use.
To be honest, after looking at these layouts, I think that the way that Racer is playing in the AI field is very smart - they are not blindly pursuing the heat of the big model, but are doing deep plowing of technology tightly around their business scenarios. From content production to commercial realization, from user experience to the underlying architecture, each link is being reshaped by AI. But then again, in the face of bytes, Tencent, these rivals who are also making efforts in the field of AI, whether the fast hand can realize the bend by virtue of these layouts, it will take time to verify. But at least, they are proving that short video platforms play with AI, really not just rubbing hot spots so simple.
Comment List (13):
Load More Comments Loading...