Here are some words that I read but did not grasp firmly: learn, data, task, train, intelligence, general, model, skill, label, language, understanding, reality, observation, predictive, objects, concepts, act, hypotheses, knowledge, 'common sense', 'dark matter', 'artificial intelligence', teaching, classify, supervision, autonomous, 'self-supervised learning', recognize, patterns, representations, processing, systems, pretrained, vision, real-world, helpful, promising, 'energy-based models', prediction, uncertainty, 'joint embedding methods', 'latent-variable architectures', reasoning, 'predictive learning', 'supervisory signals', signals, structure, unobserved, property, input, 'co-occuring modalities', 'unsupervised learning', feedback, reinfrocement, 'downstream tasks', meaning, syntactic, word, associate, probability, vocabulary, 'convolutional network', network, 'prediction uncertainty', 'predicting missing words', computing, softmax layer, probability distribution, energy, incompatible, computer vision, and so on.