TGS 2026 View all →
News

OpenAI Alleges DeepSeek May Have Used Its Data to Build the Model

Ram Ronquillo
·
January 30, 2025  ·  1 min read
Add as Preferred Source on Google
Related topics #ChatGPT #DeepSeek
OpenAI DeepSeek distillation allegation
Your Take
No user ratings yet

OpenAI has claimed recently that the Chinese AI Large Language Model (LLM) that shook the market DeepSeek may have used its data from its own model to set up its own AI chatbot.

OpenAI – DeepSeek Distillation?

According to an OpenAI spokesperson who sent a statement to NBC News, DeepSeek may have used a tactic known as distillation to catch up. Distillation is when an LLM is trained using data generated by another LLM.

“We are aware of and reviewing indications that DeepSeek may have inappropriately distilled our models, and will share information as we know more,” the spokesperson said.

The tactic is common in the industry but is often prohibited from the terms of service of LLMs, for obvious reasons.

OpenAI DeepSeek distillation allegation

ChatGPT, OpenAI’s LLM, was also accused of inappropriately using content it didn’t have rights to. This has been the subject for multiple lawsuits.

The company’s spokesperson mentioned that it is working closely with the US government to protect its technology.

“We take aggressive, proactive countermeasures to protect our technology and will continue working closely with the U.S. government to protect the most capable models being built here,” the spokesperson said.

As of writing this, DeepSeek has yet to comment on the allegation. We’ll update this if a statement is made by the Chinese company.

Source

Ram Ronquillo

4793 articles published

Ram found his love and appreciation for writing in 2015 having started in the gaming and esports sphere for GG Network. He would then transition to focus more on the world of tech which has also began his journey into learning more about this world. That said though, he still has the mentality of "as long as it works" for his personal gadgets.

View all articles →

Related News