Arc Institute

2026-10-22

MODELS · 1 SOURCE · WIRED AI

Hugging Face releases Carbon‑X, a 14B‑parameter DNA language model for local use

Hugging Face released Carbon‑X, an open‑source model trained on DNA sequences and natural language that can run locally on a laptop; the team says it has 14 billion parameters and was trained on about 300 billion tokens combining genomic sequences and English text. Developed with Zhongguancun Academy and the University of Naples Federico II, Carbon‑X ingests roughly 50,000 base‑pair sequences at a time, was not trained on viruses, and has not been validated with wet‑lab experiments.

7.0

2026-10-16

RESEARCH · 1 SOURCE · MIT Technology Review AI

Stanford PhD student Samuel King used generative AI to propose virus genetic blueprints

MIT Technology Review published an interview with Samuel King about his 2025 project in which he used a generative AI model to propose genetic blueprints for microscopic viruses. The work produced preliminary designs but did not create living organisms, and the interview covers King's recognition as an Innovator Under 35 and the scientific and biosecurity implications.

7.0

2026-10-09

RESEARCH · 1 SOURCE · MIT Technology Review AI

Roundtable: Samuel King on using generative AI to propose viral genomes

MIT Technology Review is hosting a subscriber-only roundtable (Oct 16) in which James O'Donnell interviews Stanford PhD student Samuel King about his 2025 work using a generative AI model to propose genetic blueprints for microscopic viruses; King says this is not yet AI-generated life but could be a step toward it.

7.0

2026-09-18

RESEARCH · 1 SOURCE · WIRED AI

Experts argue AI-enabled bioweapons risk is real but not an imminent existential threat

The article surveys recent concerns—including an Anthropic report flagging efforts to use Claude for biological misuse and research showing AI-designed viral genomes—but presents several scientists who say that while AI can accelerate access to biological information, major technical, material, and human checks still make AI-driven creation and deployment of novel bioweapons unlikely today. It also notes calls from some AI leaders for regulations on synthetic DNA and frontier capabilities.

6.0