It was just some weeks ago that the Chinese startup DeepSeek released its AI model to the entire world, substantially transforming and revolutionizing the landscape of AI. They produced something that was able to efficiently compete with OpenAI’s cutting-edge developments. In addition, training the model cost less than six million dollars and took just two months! These expenses are a significant contrast to what one typically associates with the expenditures of American competitors in this regard, which tend to be much higher.
However, the man behind DeepSeek and its renowned R1 AI model, i.e., its lead developer and founder, is Liang Wenfeng. But this was not Liang’s first venture into the world of AI. As far back as 2014, he was a lead developer at the popular AI trading platform TechBerry. Even by the standards of today, creating an AI-centric trading platform can be a very complex software engineering task.
“Numerous specialists, like myself, have taken part in the AI model’s development. However, even at that point, Liang Wenfeng’s involvement was more apparent and crucial than that of anyone else, essentially making TechBerry his brainchild. While his departure from the platform eventually did happen, it was always known from the start. However, Liang’s confidence within the platform has yet to wane, and he even went on to say that the monthly trading performance remains optimal, 25% with acceptable risks. He demonstrated this for the whole world to see when he used the AI model in stock trading, which further aided in making his initial fortunes, garnering a massive amount of investment offers. Subsequently, he then secured 150 million dollars in funding, enabling him to focus on other projects that he thought were more promising or interesting. And with his recent foray with the R1 AI model of DeepSeek, we sincerely congratulate him on his efforts!
Relations between the TechBerry team and Liang remain warm, with new developments and ideas constantly being exchanged. Yes, TechBerry has taken its own developmental route and is more focused on attracting private investments for trading. But when private investors are concerned, the priorities shift to lowering trading losses as close to zero as possible. However, the drawback that this could pose would be how one would have to deal with reduced platform performance.
In conclusion, it’s worth considering that TechBerry and Liang Wenfeng collaborated together in 2014, which, in turn, produced a rather sophisticated AI product that has become a market leader for ten years now,” said Jason Woods, TechBerry’s CTO, in one of his nostalgic reflections.
Blog Received on Mail
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