bchjam

If someone knowingly uses bad data, aren't the claims supported by it false?

> No experiment could ever possibly hurt scientific knowledge

what about one with a falsified result?

fwiw I think convexity and understanding are relatively orthogonal, but how could one employ the former without the latter? However the author's position seems to be more that gaming systems works better than exploring their contexts. Sometimes you might make more money in less time, but the money is all you'll get out of it. In practice, maybe understanding and convex payoff functions are both useful at different scales.

Productivity is a poor metric for actually improving your quality of life, solving hard problems, or doing much of anything other than running in circles at speed.

I've come to think of machine learning as an engineering approach for building more scalable statistical systems. Computational neuroscience seems like it does more math modeling for understanding of brain function, but still might use machine learning methods as part of its research.

Also, good is subjective, and we don't have wetware in our engineering toolchain anyway. Loosely coupled metaphors seem to be popular and effective due to ambiguities like this.

How does this cater to the disabled more than any other remote job site? If it does, there should be a little blurb about it