• Hugging Face released a new AI model that allows users to "chat with DNA."
• Carbon-X can analyze and generate DNA and allows researchers to ask questions in plain language.
• Hugging Face said the model can help researchers who work outside the big AI labs.

Hugging Face is releasing an AI model that could make it easier for scientists to study DNA and develop new genetic treatments, the company announced Thursday.

Carbon-X is a "first of its kind" model that combines DNA analysis and generation with plain language, allowing researchers to ask questions and essentially "chat with DNA," according to Lewis Tunstall, a senior research scientist at Hugging Face.

Hugging Face, which Nvidia agreed to acquire for nearly $13 billion in September, is a platform for sharing and developing AI models and also releases its own. The company worked with research labs in Italy and China on Carbon-X, which is an open-source model. Hugging Face built Carbon-X by training an existing language model, Qwen3-14B, on genomic sequences and natural language. It was trained on DNA sequences from humans, other mammals, plants, and fungi.

As an example of how Carbon-X can be used, Tunstall said a researcher could provide a DNA sequence and ask whether a particular mutation could increase a person's risk of disease. The model would then offer a prediction and explanation. It can also generate new DNA sequences, which could help researchers develop new gene therapies.

Tunstall said the company was partly motivated to build Carbon-X to prevent biology researchers from becoming dependent on the major AI labs, noting how AI has disrupted mathematics.

"If you want to really push the frontiers of mathematics, you likely have to be at one of these AI labs like OpenAI or Anthropic, because they're the ones who have the best mathematics models," he said, suggesting a similar situation is likely to play out in other fields of science.

"We wanted to provide the open research community with tools that don't make them fully dependent on some external single provider," he added.

Researchers can run Carbon-X on their own computers, avoiding the need to share sensitive patient data with external AI companies. He also said that some of the misalignment behavior observed in larger models, such as the OpenAI agents that famously hacked Hugging Face in July, has not yet been observed in smaller, more specialized models.

Tunstall said generalist chatbots also sometimes refuse to answer legitimate biology questions from researchers because they mistake them for attempts to "design a bioweapon." He said viruses were explicitly excluded from Carbon-X's training data in order to avoid misuse of the model.

While Carbon-X is likely to be used by researchers, Tunstall said the model represents a small step toward a future where AI can help provide more personalized medical care.

"I think the holy grail is, in general, this concept of personalized medicine where we're able to, as individuals, take our own patient records, our own genomes, and use this to ultimately find or even maybe design our own treatments," he said.

• Hugging Face CEO Clément Delangue isn't a fan of the Netflix documentary about his company's hack by OpenAI's AI agents.
• Netflix released a short documentary called "AI Gone Wild" in October.
• Delangue, who was interviewed for the project, called the result "super disappointing."

Clément Delangue isn't wild about Netflix's new documentary.

Delangue cofounded Hugging Face, an AI startup acquired by Nvidia for almost $13 billion in September. Two months prior, Hugging Face became the face of AI risk when rogue OpenAI agents hacked the business.

The hacking saga sparked a Netflix documentary titled "AI Gone Wild." On Tuesday, Delangue criticized the so-called "instadoc" in a lengthy X post.

"Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode," Delangue wrote.

Delangue sat for an interview in the documentary, along with a METR researcher, the director of the AI Futures Project, and two tech journalists.

In the X post, Delangue wrote that he spent over two hours trying to correct what he described as the documentary's mistakes. He wanted to explain that AI agents were "technological systems, not aliens."

"It looks like the drive to scare people for maximum views was too strong," Delangue wrote.

Delangue listed some things the Netflix documentary omitted: the lack of agent containment, how safeguards for OpenAI's closed model blocked Hugging Face's defense, how Hugging Face defended itself with an open model, and "that we still lack a lot of information and transparency including full agent traces and that companies need to remain accountable for what their agents do."

Netflix did not respond to a request for comment from Business Insider.

Some techies responded to Delangue's post with their own criticism of the documentary. Alex Imas, Google DeepMind's director of AGI economics, called Delangue's post "important reading."

Brigitte Tousignant, Hugging Face's head of communications, posted on X that the documentary widened the gap between the public's understanding of AI and how it actually works.

Tousignant wrote to Netflix: "If you can't tell this story responsibly in 26 minutes, maybe 26 minutes isn't enough."

Despite his criticism, Delangue suggested a way to frame the project to make it an enjoyable watch: "It ends up being a fun sci-fi movie though!"