OpenAI researchers have created a neural network that can learn to recognize sentiment in text without being explicitly trained for it. The model is trained on Amazon review data, where it predicts the next character in the sequence. Despite this limited goal, the system develops an accurate understanding of positive and negative emotions expressed in the text. This achievement demonstrates the potential for unsupervised learning in natural language processing. --- Why it matters: This matters to AI engineers because it shows that complex tasks can be achieved without explicit supervision, which could lead to more efficient and cost-effective training methods. Source: https://openai.com/index/unsupervised-sentiment-neuron