Sigh… It’s interesting that they blame the ML models, on the one hand it seems like a perfect example of ML gone wrong, on the other hand losses at this scale (hundreds of millions) don’t just signal that some data scientist’s model was not accurate enough… who’s running the ship over there? The ML model?

Also I’m really curious about the geographic distribution of their inventory… let’s do some Data Science on this blow up!