Liang Wenfeng: From the AI Trading of TechBerry to DeepSeek’s Game Changing R1 AI model

It was just a couple of weeks ago that the well-known Chinese startup DeepSeek released its AI model to the world, and in doing so, revolutionized and transformed the AI landscape itself. They made something that is comparable to OpenAI’s inventive developments. In addition, only two months and six million dollars were used to train the AI model! Compared to the much higher expenditures of American competitors, this is a stark and much-needed contrast.

But behind DeepSeek’s state-of-the-art R1 AI model is the man Liang Wenfeng, the firm’s lead developer and founder. Surprisingly enough, this was not Liang’s first venture into the AI sector. In 2014, he worked as a lead developer at TechBerry, a market leader within the AI trading space. Even in the present, producing an AI trading platform can be an incredibly complex software engineering feat.

“Several specialists, like myself, have taken part in the development of this AI model. But even with that, Liang Wenfeng was more involved than anyone on the project, practically making TechBerry his brainchild. While he did eventually leave the platform, it did not come as a surprise since everybody already knew he was going to from the start. But his confidence in the project has yet to wane, and he even claimed that it has optimal monthly trading performance, i.e., 25% with acceptable risks. In stock trading, he used this AI model to demonstrate its efficiency and how it made his initial fortune, garnering him enormous amounts of investment offers. With that, he was able to gather around $150 million in funding and could finally focus more on other projects that he thought were interesting or promising, like DeepSeek’s R1 AI model, which we sincerely congratulate him for!

The relations between Liang and the TechBerry team remain cordial, with new developments and ideas still being exchanged. Yes, TechBerry’s developmental route is different and focuses more on collecting private investments for trading. But when you’re bringing private investors to the table, you need to ensure that your platform’s trading losses are as close to zero as they can be. The only drawback to this is that you may have to deal with reduced platform performance.

In conclusion, Liang Wenfeng and TechBerry have worked together in 2014 to give rise to an inventive AI trading platform that has been an industry veteran for around ten years now,” Jason Woods, who is the CTO of TechBerry, stated in one of his reflections.