A model generated 285 candidate genomes, a lab synthesized them, and 16 of them turned out to work. Sophia Kivelson (Stanford, biomedical data science) breaks down the Arc Institute paper everyone read as "AI designs viruses" - what actually happened, why it can't touch a human cell, and why the only RL environment for this stuff is a wet lab with a two-month rollout. Then the part that made us nervous: some of these phages work fine while barely resembling the original, and nearly every biosecurity screen we have is looking for resemblance. Plus benchtop DNA printers with blocklist firmware, why the rules stop at the lab door and not the laptop, and bacteria as tiny programmable factories.
What is Pretrained?
Everyone's talking about AI but most of it is hype, jargon, or someone trying to sell you something. Pierce Freeman and Richard Diehl Martinez are two Stanford friends who actually work in this space with nothing to sell you but good vibes. We'll make you smarter - and you might actually enjoy it.