The Critical Bottleneck for AI: High-Quality Training Data

In theory, AI has blown past our wildest dreams; in practice, Siri can't even tell us the weather. The problem? Creating high-quality datasets to train and measure our models is still incredibly difficult. We should be able to gather 20,000 labels for training a Reddit classifier in a single day, but instead, we wait 3 months and get back a training set full of spam. Surge AI is a team of ML engineers and research scientists building human-AI platforms to solve this. Four years ago, AlphaGo beat the world's Go experts, big tech was acqui-hiring every ML startup they could get their hands on, and the New York Times declared that "machine learning is poised to reinvent computing itself".