White House accuses DeepSeek of copying OpenAI technologies
A major scandal erupted around Chinese company DeepSeek following a statement by David Sacks, White House’s chief AI advisor. According to him, there is “substantial evidence” that the Chinese developer used OpenAI technologies to create their new model.
In a Fox News interview, Sacks revealed a technique known as distillation, where one AI model uses another model’s outputs for training and developing similar capabilities. “There is substantial evidence that DeepSeek applied knowledge distillation from OpenAI models, and I think OpenAI is not at all happy about this,” said the advisor, without disclosing specific details.
The situation escalated after DeepSeek presented its new open-source model R1, capable of imitating human thinking. The company claimed that R1 not only matches leading American developments across several industry metrics but surpasses them, while development costs were significantly lower.
Notably, OpenAI CEO Sam Altman has already begun an internal investigation to determine whether DeepSeek’s successes are indeed related to OpenAI models’ distillation rather than being the result of an independent technological breakthrough.
Despite criticism, Sacks acknowledged DeepSeek’s achievement in creating a more efficient model without using many advanced GPUs. However, he warned that the buzz around the Chinese company would push American AI developers to take measures preventing distillation to slow down the emergence of so-called “copying” models.
OpenAI is currently refraining from official comments about the situation, which only fuels the tech community’s interest in the unfolding confrontation between American and Chinese artificial intelligence developers.
Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
Dongfeng deploys 1.7m tall Walker S robots with 41 servosDongfeng Motor joins forces with Ubtech Robotics to integrate innovative Walker S robots into production lines. These technological marvels standing 1 meter and 70 centimeters tall are ready to transform traditional automobile assembly processes. Dongfeng Motor's general manager emphasizes that implementing artificial intelligence in these robots will significantly improve the quality of component inspection and assembly.
MIT graduate student reduced painting restoration from 230 to 3.5 hoursMIT graduate student Alex Kachkin developed a cool method for painting restoration using artificial intelligence. Reducing work time from many months to several hours. As a demonstration, he restored a work by an unknown Dutch master of the 15th century that had seriously suffered from time.
AI prosthetic from Canada analyzes objects and decides how to grasp themArtificial intelligence gives prosthetics independence! Scientists from Memorial University of Newfoundland created a revolutionary arm prosthetic that literally "thinks" for itself. Unlike traditional models that require reading muscle signals through sensors, the new device is completely autonomous.
DeepSeek packed LLM engine into 1200 lines of Python codeThe DeepSeek team presented nano-vLLM. This is a lightweight and compact engine for running large language models. Which could change perceptions about code efficiency. Amazingly, all functionality fit into just 1200 lines of Python code! This is true technological minimalism in the world of artificial intelligence. Traditional engines like this, for all their power, often suffer from an overloaded codebase. Which makes their modification a real trial for developers. Nano-vLLM solves this problem by offering a simple but powerful tool without unnecessary complexity. The code is open.
Tesla robotaxi failure: 11 traffic violations in first days from 20 carsThe dream of robotaxis faces harsh reality! Tesla launched public tests of autonomous taxis in Austin, but the results were far from the promised technological miracle. In the first days of testing, at least 11 serious traffic violations were recorded. And this with only 20 vehicles selected for a limited circle of bloggers. Philip Koopman, professor at Carnegie Mellon University and expert on autonomous technologies, doesn't hide his surprise: "This is terribly fast for so many videos with unstable driving to appear".
