Breakthrough Movie Inspirational Quotes

Isaac Asimov’s short story “The Fun They Had” describes a school of the future that uses advanced technology to revolutionize the educational experience, enhancing individualized learning and providing students with personalized instruction and robot teachers. Such science fiction has gone on to inspire very real innovation. In a 1984 Newsweek interview, Apple’s co-founder Steve Jobs predicted computers were going to be a bicycle for our minds, extending our capabilities, knowledge, and creativity, much the way a ten-speed amplifies our physical abilities. For decades, we have been fascinated by the idea that we can use computers to help educate people. What connects these science fiction narratives is that they all imagined computers might eventually emulate what we view as intelligence. Real-life researchers have been working for more than sixty years to make this AI vision a reality. In 1962, the checkers master Robert Nealey played the game against an IBM 7094 computer, and the computer beat him. A few years prior, in 1957, the psychologist Frank Rosenblatt created Perceptron, the first artificial neural network, a computer simulation of a collection of neurons and synapses trained to perform certain tasks. In the decades following such innovations in early AI, we had the computation power to tackle systems only as complex as the brain of an earthworm or insect. We also had limited techniques and data to train these networks. The technology has come a long way in the ensuing decades, driving some of the most common products and apps today, from the recommendation engines on movie streaming services to voice-controlled personal assistants such as Siri and Alexa. AI has gotten so good at mimicking human behavior that oftentimes we cannot distinguish between human and machine responses. Meanwhile, not only has the computation power developed enough to tackle systems approaching the complexity of the human brain, but there have been significant breakthroughs in structuring and training these neural networks.

I’m going to guess that in our seventeen years together, Joe and I have eaten an average of at least one meal out a week—plus at least one or two weeks a year when we are on vacation and we get to enjoy twenty-one restaurant meals. Using this rough calculation, I have heard my husband utter that exact line approximately one thousand four hundred times. If I didn’t madly love the man, or I had years of bitter resentment born of unmet needs and unheard desires festering in me, I can see where this might make me want to stick something sharp into his eye socket and twist it around a few dozen times for good measure. But I do and I don’t, respectively, so his attempted joke is actually endearing. It’s one of his things that I’d miss tragically if it went away. It would be that “Yeah, I hated it” line—not his dashing good looks or prowess with power tools or skills on the basketball court or anything else the rest of the world can plainly see—that I’d get most choked up on if I were delivering his eulogy today. There was a breakthrough, pivotal scene in the epically good movie Good Will Hunting, where Robin Williams plays a therapist reminiscing about his dead wife with his patient (Matt Damon). “She used to fart in her sleep,” Williams tells the clueless Damon character during an otherwise unproductive therapy session. “One night it was so loud it woke the dog up . . . She’s been dead two years, and that’s the shit I remember . . . little things like that, those are the things I miss the most. Those little idiosyncrasies that only I knew about; that’s what made her my wife. People call these things imperfections, but they’re not. No, that’s the good stuff.” That.