Adam Caudill

• Good Faith, Moral Duty, and Selfishness

  What do we owe to each other? This is a classic question of moral philosophy, and a critical question that defines how society itself functions. It’s also a key question to understand what role each of us plays to make society successful. These words were started as society was entering a seismic shift, the COVID-19 pandemic had started, people were dying, fear ran deep, and the disease impacted some far more than others.

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• Developer Tools & Productivity

  Technology improves and advances ceaselessly, new tools are created and change how people work. Some are small and simple, making people somewhat more productive. Others revolutionise the way people work. These revolutionary tools may come along only once or twice in a generation, and when they do, they tend make people uncomfortable. They can make people question their role, their skills, their future, and their place in the industry. I would like to take a few minutes to talk about a revolutionary change in how developers work.

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• On AI, Art, Writing, and the Distillation of Creativity

  Can generative AI create art? Two years ago I took my first swing at answering that, at least from my perspective.1 As AI systems become more advanced, this question, and the issues surrounding it have become of greater import. With a new release from OpenAI, it’s become a topic of great passion, and one prime to revisit for me. I would like to explore this topic more deeply than I did previously, both in terms of cultural impact, and historical context.

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• When AI Becomes I

  The challenge of defining life when intelligence goes non-biological.

  One of the many joys of being human, is that we constantly face questions about our existence, from the seemingly simple (why is the sky blue), to the labyrinthine (what is the meaning of life, does pineapple go on pizza). Thanks to growing up watching Star Trek, one of these that has fascinated me is the question of artificial life. Thanks to a character named Data, a character that’s both relatable and entirely different, many have found themselves wondering if that’s what the future holds.

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• Millions of Jobs

  or: On AI, Job Creation & Destruction, and The Race to Oblivion

  It has been 20 years since I first used machine learning to solve a complex business problem. The underlying problem was simple: the company was selling a new service and wanted to know who was most likely to buy it. We had millions of records, and each record had hundreds of fields. A vast amount of data, but no idea how to extract insight from it. Countless hours from various data analysts had been invested into finding a pattern, but none was forthcoming.

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