TL;DR by GPT-4:

• The article discusses cognitive biases, which are areas where human decision-making deviates from rationality. These biases can lead to poor decision-making.
• The author suggests that AI can help address these biases by acting as a “thinking companion” to improve our decision-making.
• The article discusses various cognitive biases such as confirmation bias, the IKEA Effect, the Fundamental Attribution Error, the Abilene Paradox, and Groupthink. These biases can lead to a failure to plan or assess our chances realistically.
• AI can help us reflect on our choices and challenge our thinking. For example, it can provide stories of how a project might fail, which can help us plan better.
• The author also discusses biases that can paralyze us from taking action, such as loss aversion, hyperbolic discounting, and status-quo bias. AI can help us overcome these biases by reframing our failure to act as a loss.
• The concept of opportunity cost, which is often neglected in human decision-making, can also be addressed with the help of AI. AI can help us calculate and consider the opportunity costs of our actions.
• The author concludes by emphasizing that AI is a tool to support human decision-makers, not replace them. It can enhance our decision-making processes by providing objective analysis and recommendations, but it’s important to consider the ethical implications of using AI in decision-making.
• The author suggests that we need to embrace and explore the ways in which AI can augment our decisions, while being careful of the risks. Using AI to help us reflect on our own decision-making process seems like the safest and most useful way to start.