> "Deep Learning", no matter how big your dataset, fundamentally cannot possess this capability.
Why not? I’d agree that current models can’t, but what’s the fundamental shortcoming of deep learning?
667 karma · joined October 25, 2011
Why not? I’d agree that current models can’t, but what’s the fundamental shortcoming of deep learning?
Also, we should catch up!
Maybe the possibility of being publicly shamed is a deterrent from pursing ownership.
When I was learning Go a few years ago, I build a simple way to generate line graphs from the command line by piping to a cURL command. A few people still actually use it.
1. Markets are not perfectly efficient. If Apple decided not to hire female engineers they wouldn't immediately be overtaken by another company that can use access to a larger labor pool as a decisive advantage. Even if this would be a disadvantage because other companies would hire women, they might still win due to other advantages.
2. Often the same prejudice that affects hiring is held by the customers. If a restaurant in a racist community refuses to hire minorty workers, they might do better than other restaurants. This makes it even more important to enforce fair hiring practices judicially.