Not just proteins
Last week also saw the introduction of something very similar but focused on DNA sequences. A collaboration of the AI company Hugging Face, the Zhongguancun Academy, and the University of Naples “Federico II” introduced what they’re calling Carbon X, an open-weight model that can be run on local hardware. It is based on a human-language model called Qwen3-14B but was retrained using DNA, followed by reinforcement learning and supervised fine-tuning.
The re-training (technically termed mid-training) required a careful balancing act: “A low learning rate preserves English but leaves DNA at chance, and a high one learns DNA but forgets English.” But the result is a single model that can speak both DNA and English and translate between them. So, like large genome models, you can prompt it with a DNA sequence, and it will attempt to predict sequences that might come after it in a typical genome. But you can also prompt it with a mix of DNA and natural language, asking it things like “what would the consequence of changing this G to an A be?”
While the team has not released a publication describing the behavior of the system, their internal performance suggests it’s quite good, being competitive with large, specialized commercial models like GPT-6.1 Sol. That said, it also includes a few cautions. The system is not especially good at noting specific positions, especially on longer sequences. It also can be prone to hallucinations if the prompt isn’t specific enough. So, the usual cautions when using an AI tool definitely apply.
Hugging Face points out two major reasons why Carbon X might be a better option than commercial models, even for tasks where the commercial models tend to perform a bit better, both of them related to the fact that Carbon X can be run locally. The first is simply cost; the company’s demonstration video was done using a MacBook, so it can be run repeatedly on relatively affordable hardware. The second is that there are many situations where, for proprietary or privacy reasons, people will not want to share the inquiries they’re making with a commercial entity.