How generative AI and physics can help design new antibiotics

The pitch that matters here is combining a fast but sometimes hallucinatory generative model with a slower but grounded physics simulator, so each one checks the other's homework instead of trusting AI output on faith. Antibiotic resistance is a slow moving crisis that gets a fraction of the funding hype cycles like image generation get, so any credible acceleration in the discovery pipeline deserves more attention than it usually receives. The next real test is whether any of these AI designed peptides survive actual lab toxicity screening, not just the simulation.