Import AI 475 covers swarm scaling, DeepMind biology watermarks, and AI science economy

Google DeepMind introduces SynthID Bio, a family of watermarking methods for synthetic biology. In wet-lab tests on three target proteins (VEGF-A, SARS-CoV-2 spike protein RBD, PD-L1), watermarked designs matched unwatermarked versions on hit rate, binding affinity, and sequence diversity. The approach aims to strengthen biosecurity and scientific integrity.

C5R Corp's SciUniverse benchmark tests AI systems on 92 tasks across 17 families in automated labs. Claude Fable 5.1 (xhigh) leads at 45.3% pass rate and $40.61 cost per task, followed by GPT-5 Astra (xhigh) at 32.5% and $52.37, then Claude Opus 5 (xhigh) at 30.5% and $46.31. DeepMind researchers separately propose an "Automated Scientific Economy" with four components: proof of ideation, ex-ante evaluation, brokerage and trade, and validation payout, to match AI-generated ideas with scarce physical resources.

CSAIP polling of 2,498 Americans shows 61% say voluntary AI company commitments are "not enough," including 53% of Trump voters. Fifty-four percent want government to set and enforce AI rules (61% Harris voters, 48% Trump voters).