just1morething

There is something special about that "lock and key" moment when you feel that satisfying "click" as your response opens the next opportunity.

I've found that plucking words from paragraphs has, on occasion, brought them more firmly under my control-- most of them remain mysterious to me when they pop up in papers on programming or psychology.

Rather than list "ideas" or "concepts" I try to make a record of what appeared and the response I had to its appearance.

How are we to solve difficult problems if we stop mentioning them or their difficulty?

It is delightful to see the love of discovery and exploration unfold around an electronic dream: "What if I do X, Y, or Z?"

Where do people go to put their darlings to the test? Is there a place these radical designs compete to satisfy more than a personal curiosity posed as a "what if?" Some sort of Homebrew derby?

If you cut some words out of a newspaper and a person writes words in those blanks then what has happened? If we cut out parts of a painting and a person paints in those blanks then what has happened? How is the person who wrote in the blanks or the person who painted in the blanks changed by writing or painting in the blanks? How are they changed when someone responds to what they've written or painted? How did the original writer or painter come to write and paint what was later blanked out?

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.

How much of simplicity is similar history?

Can we write our way from the idea idea? If so, how? If not, why?

Paul is on the better side of every moat he makes.