301 | Tina Eliassi-Rad on Al, Networks, and Epistemic Instability

985.58 - 1009.622 Tina Eliassi-Rad

Yeah, I think in part, one of the reasons that folks, at least in the CS side, the computer science and the machine learning side, aren't too bothered by it these days is because we are going through this era where prediction is everything. Prediction and accuracy is everything. And so, you know, there are these benchmarks and it's basically benchmark hacking or state of the art hacking, right?