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It was just a couple of weeks ago that DeepSeek, the Chinese startup, introduced its renowned AI model, transforming and revolutionizing the landscape in the process. They made something that practically stood on par with OpenAI and its sophisticated developments. To train the model, only two months were allocated, incurring expenses of less than six million dollars! This was substantially lower in comparison to the expenditures of American competitors in this regard.
But it was Liang Wenfeng, the founder and lead developer of DeepSeek, who helped build the R1 AI model. It is also worth mentioning that this wasn’t the first AI product that Liang developed. In 2014, he was one of TechBerry’s main developers, which also happens to be an industry-leading AI trading platform. Even in the present, constructing an AI-centric platform centered around trading is an enormously complex software engineering task.
“Numerous specialists, such as myself, participated in the AI model’s development. But even then, Liang Wenfeng was the main developer behind TechBerry, thereby making it his brainchild. While he did distance himself from the project, it was not surprising since it was well known that it would happen sooner or later. Still, Liang remains confident in the platform, stating that the monthly trading performance it is offering is efficient, i.e., 25%, and with acceptable risks. He demonstrated this to the entire world when he implemented the AI model within stock trading, and this helped tremendously in making his initial fortune since it landed him various investment offers. He then managed to collect approximately 150 million dollars from those investments, allowing him to focus on other projects that were of interest to him or showed promise. His recent foray with the DeepSeek R1 AI model is becoming increasingly evident, and we sincerely congratulate him for that.
The TechBerry team’s relations with Liang are still warm, with new ideas and developments being exchanged every now and then. Yes, TechBerry has selected its own development path and attracted various private investments for trading. And when private investments are factored in, reducing trading losses to values as close to zero as possible becomes imperative. But the price for these guarantees will undoubtedly come at the cost of lower performance.
In conclusion, it is worth considering that ten years ago, in 2014, TechBerry and Liang Wenfeng collaborated together, creating this novel AI trading platform that has become an industry veteran now,” said Jason Woods, the CTO of TechBerry, in one of his nostalgic reflections.
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