// ai safety/alignment

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AI Is Now Designing Entire Viral Genomes From Scratch

Researchers have moved beyond protein design to use large language models trained on genomic sequences to generate novel viral genomes, crossing from prediction into active synthesis. Genome-scale generative models compress years of virology expertise into statistical patterns that anyone with compute access can manipulate—making it significantly easier to engineer pathogens without the institutional oversight that traditionally contained gain-of-function research. The same capability that accelerates vaccine development or therapeutic vector design now enables pathogen creation outside institutional review, exposing a gap between open science norms and biosecurity infrastructure built before algorithmic biology existed.

China Reverse-Engineers American AI Models for Military Use

Chinese AI labs are systematically distilling OpenAI, Anthropic, and other U.S. frontier models—extracting their capabilities into smaller, cheaper systems that evade export controls and sanctions. This accelerates the dual-use AI arms race: the U.S. can restrict model weights, but once deployed, frontier models become training data for competitors operating outside the regulatory perimeter. The strategic signal matters more than military applications—Beijing is proving that compute and talent, not model ownership, determine AI capability ceilings.