experiment. You're looking for a signal using measurement in a sea of noise. Um and so this is building up to the claim that like code and sweet data analysis scaffold to genetic biology. It becomes this executable substrate that we can use to train things. It introduces a natural way to benchmark and climb capability. Um I've written about this a lot at this blog. Uh link here. There's a lot more depth to this claim, so I wouldn't take it at face value, but it's something to look into. All you can take away from this is like just like code provided a verifiable substrate for complex software tasks that are not inherently verifiable, uh data analysis might do the same thing in bio.