
Co-Intelligence: Living and Working with AI

In this case, the nature of jobs will change a lot, as education and skill become less valuable. With lower-cost workers doing the same work in less time, mass unemployment, or at least underemployment, becomes more likely, and we may see the need for policy solutions, like a four-day workweek or universal basic income, that reduce the floor for hu
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the reality is that we are already living in the early days of the AI Age, and we need to make some very important decisions about what that actually means. Waiting to make these choices until the debate on existential risks is over means that those choices will be made for us.
Ethan Mollick • Co-Intelligence: Living and Working with AI
prompt injection, where people use the AI’s capabilities to read files, look at the web, or run code to secretly feed the AI instructions.
Ethan Mollick • Co-Intelligence: Living and Working with AI
Imagine an LLM as a diligent apprentice chef who aspires to become a master chef. To learn the culinary arts, the apprentice starts by reading and studying a vast collection of recipes from around the world. Each recipe represents a piece of text, with various ingredients symbolizing words and phrases. The apprentice’s goal is to understand how to
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other studies find that the most innovative people benefit the least from AI creative help.
Ethan Mollick • Co-Intelligence: Living and Working with AI
Here are my four principles of working with AI: Principle 1: Always invite AI to the table. You should try inviting AI to help you in everything you do, barring legal or ethical barriers. As you experiment, you may find that AI help can be satisfying, or frustrating, or useless, or unnerving. But you aren’t just doing this for help alone; familiari
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To teach AI how to understand and generate humanlike writing, it is trained on a massive amount of text from various sources, such as websites, books, and other digital documents. This is called pretraining, and unlike earlier forms of AI, it is unsupervised, which means the AI doesn’t need carefully labeled data.
Ethan Mollick • Co-Intelligence: Living and Working with AI
advanced chatbots that incorporated elements of machine learning were being developed. One of the most notorious was Tay, a creation of Microsoft in 2016. Tay was designed to mimic
Ethan Mollick • Co-Intelligence: Living and Working with AI
From a practical standpoint, the AI should be invited to any brainstorming session you hold.