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Scientists have used AI to design novel bacteriophages, raising concerns about biosecurity and the pace of regulation for AI-enabled biotechnology.
The author warns that AI-engineered pandemics are becoming a top existential risk, noting that AI has already created a brand new virus and that future frontier model innovations could lead to threats worse than COVID.
Researchers used large genome models Evo 1 and Evo 2 to design new bacteriophage genomes, producing viruses with distinct features challenging to evolve naturally, raising questions about potential future design of vertebrate-targeting viruses.
US researchers used generative AI models Evo1 and Evo2 to design complete virus genomes for the first time, creating 16 novel bacteriophages that can kill E. coli. The breakthrough could enable new disease treatments but raises urgent safety and security concerns.
AI has created the first synthetic viruses, a significant breakthrough in synthetic biology that raises biosecurity concerns.
This paper introduces Intern-BioBreaker, a bio-red-teaming model, and a computational-to-physical framework to evaluate biosecurity risks of frontier LLMs, finding widespread jailbreak vulnerabilities and demonstrating that model-generated biological designs can be physically realized, underscoring the need for stronger safety mechanisms.
Google DeepMind and Isomorphic Labs outline their joint approach to bioresilience, focusing on preventing misuse of AI models and using AI to improve prevention, detection, and response to infectious disease outbreaks through partnerships and tools like AlphaFold, Gemini, and SynthID.
This paper introduces safeguard-conditioned uplift, a protocol for measuring how different deployment access conditions (e.g., helpful prompting, safety prompting, external safeguards) affect the utility-risk frontier in dual-use biology AI assistants, based on human-judged evaluations of Claude Sonnet 4.6 and Gemini 3.5 Flash.
OpenAI publishes its National Security Principles, outlining its approach to government partnerships and defensive uses of AI in areas like cyber and biosecurity, while restricting uses such as mass surveillance and autonomous weapons.
The article announces the winners of an essay contest on big questions about AI, featuring essays on using AI foundations for biosecurity, economic policies for countries outside the AI supply chain, and AI lab business models.
The OpenAI Foundation is joining Intercept as a founding partner in an AI resilience program to address biosecurity risks from AI misuse.
This article warns that current and upcoming AI models significantly lower the barrier to creating bioweapons, citing distillation attacks on open-weight models and the inability to prevent safety ablation. It calls for public funding of broad-spectrum countermeasures as a necessary response.
A Twitter user shares recommendations from others on the best accounts to follow for AI in biology, covering protein design, genomics, biosecurity, and policy.
A systematic review of machine learning and deep learning techniques for cattle identification, covering methods like CNNs and YOLO, feature extraction techniques, and challenges such as limited datasets and real-time processing.
The article critiques AI companies' bioweapon precautions as 'safety theater,' drawing parallels to pre-pandemic virology self-governance and predicting similar failures and elite deflection.
Top AI CEOs Sam Altman, Dario Amodei, and Demis Hassabis have co-signed an open letter urging Congress to pass legislation requiring screening of synthetic nucleic acid orders to prevent misuse for biological weapons.
The CEOs of OpenAI, Anthropic, Google DeepMind, and Microsoft AI signed a public letter urging Congress to require synthetic DNA/RNA providers to screen customers and orders to prevent AI-facilitated development of biological weapons.
OpenAI announces a biodefense action plan alongside GPT-Rosalind, a frontier reasoning model for biology and drug discovery, and Rosalind Biodefense, aimed at equipping trusted developers with AI-powered tools for biological security and pandemic preparedness.
OpenAI has launched a Bio Bug Bounty program for GPT-5.5, inviting security researchers to identify universal jailbreaks for biological safety challenges. The program offers rewards up to $25,000 for successfully defeating the model's safeguards on specific bio-risk questions.
OpenAI demonstrates GPT-5's capability to accelerate biological research by autonomously optimizing a molecular cloning protocol in collaboration with Red Queen Bio, achieving a 79-fold improvement in cloning efficiency through novel enzymatic mechanisms. The work showcases AI's potential to support experimental iteration and empirical validation in wet lab settings while highlighting biosecurity considerations.