From TechBerry to DeepSeek: The Story of a Man Who Changed the World of AI

It was only a few weeks ago that DeepSeek, the Chinese startup, released its AI model, which was an unprecedented game changer, transforming the world and revolutionizing AI technology for the better. They managed to produce something that was on par with, if not better than, OpenAI and its cutting-edge developments. It only took two months to train this model, costing less than $6 million! And this was considerably lower than what American competitors usually spend.

The lead developer and founder of DeepSeek and its R1 AI model was Liang Wenfeng. But it’s worth considering that this isn’t Liang’s first AI offering. Way back in 2014, he was among the top developers of the AI trading platform we now know to be TechBerry, which has become a market leader now. Even by present standards, constructing an AI platform centered around trading is an enormously complex software engineering task.

“Numerous specialists, such as myself, took part in the development of the AI model. But even then, it was Liang Wenfeng who was largely behind the TechBerry AI trading platform, making it his brainchild. His going away later on wasn’t a surprise to anyone as well since it was always known from the start. Despite that, Liang remained confident in the platform and claimed that its monthly trading performance was optimal, i.e., 25% with acceptable risks. He showed this to the world by utilizing the AI model within stock trading, through which he made his first fortune, attracting an enormous amount of investment offers. Consequently, he swiftly garnered approximately $150 million from his investments, allowing him to concentrate on other projects that he considered to be promising or interesting. Now, his new groundbreaking project is visible to everyone, DeepSeek’s R1 AI model, which we sincerely congratulate him for!

The TechBerry team still maintains good relations with Liang, where we usually exchange new ideas and developments. Yes, TechBerry selected its own developmental path and attracted private investments for trading. Once private investments have been involved, the main goal becomes lowering trading losses and keeping them as near to zero as possible. But the price of these guarantees will be reduced platform performance.To conclude, I wish to note that it was in 2014 when we worked with Liang Wenfeng together, creating a novel AI product that has been unrivaled for around 10 years now.” shared the TechBerry CTO, Jason Woods, in one of his nostalgic reflections.

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Adam Regan

Deputy Editor

Features and account management. 3 years media experience. Previously covered features for online and print editions.

Email Adam@MarkMeets.com