A.I. Learns to Write in DNA
Scientists prompted A.I. to design and create new viruses for the first time, a milestone for medicine that also raises new biosecurity concerns.
Shared via Reddit's r/artificial, CrowdStrike's 2026 Global Threat Report documents prompt injection attacks against more than 90 organizations last year, with attackers embedding malicious instructions inside legitimate AI tools to drain credentials and cryptocurrency wallets. Overall AI-assisted attack volume climbed 89% year-over-year — the fastest-growing category in the entire report.
What makes prompt injection structurally different from traditional malware is that there is nothing broken to patch. The model follows injected instructions because following instructions is what it does. An attacker doesn't need to exploit a zero-day; they need to phrase a sentence in a way the model will act on. The attack surface is every AI interaction the target organization has.
This isn't a distant threat. Enterprises have spent the last two years deploying AI assistants across customer service, internal operations, and legal workflows. Each deployment is a potential entry point for anyone who figures out how to get malicious text into the model's context. CrowdStrike's data suggests attackers have already figured it out at scale.
Security teams built for network perimeters and email inboxes are now defending language models. The rule book hasn't been written yet.
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Scientists prompted A.I. to design and create new viruses for the first time, a milestone for medicine that also raises new biosecurity concerns.
The Trump administration has no idea on how to handle open-source and open-weight AI models from China.
Google is consolidating AI leadership in California but the reorganization is pushing out the engineers who built its AI division