Five New Thinking Styles for Working With Thinking Machines

In a pre-AI world, in order to build an application, you needed to reduce your idea to a process—a set of rules by which your software would operate to accomplish the goal you set. Sometimes this was easy; for example, a customer relationship manager like Salesforce is naturally reducible to rules.

In a post-AI world, you can build applications for ... See more

In a pre-AI world, you needed to define the rules of the game you were playing—to think from first principles and apply them to your circumstances. In a post-AI world, you need to build and use models that recognize underlying patterns—patterns that can’t be reduced to simple rules.

Consider building software. Pre-AI, you needed to define exactly wh... See more

In a pre-AI world, whether you were building software or teams, or writing books or marketing plans, you needed to strip the problems you were facing down to their bare elements—their essence—and work your way forward from there. In building software, you need to define your core user and the problem you want to solve; in writing books, you need a ... See more