Bücher veröffentlicht von Schmincke Learning Institute

Struggling to be an entrepreneur? Forget what you know. Success is not about how to win . . . It's about how to lose. With thousands of books and courses on entrepreneurship, why aren't there more successful entrepreneurs? The answer is simple-we have been teaching it all wrong. In Winners and Losers, award-winning speaker Don Schmincke uses research from his many anthropological expeditions across the world, scientific data, and his experience training over thirty thousand CEOs to uncover the truth. Instead of looking at what successful entrepreneurs did right, Schmincke looks at what happened before their successes. What he found was that their paths were littered with mistakes, misguided assumptions, and major losses. Could the key to their successful entrepreneurship actually lie in their failures? Unlike entrepreneurship books that focus on how to win, Schmincke deviates from the status quo and reveals that the real secret is in how to lose-powerfully. True success arises from the inevitable losses that come with risky ventures. With a straightforward, humorous, and often politically incorrect approach, Winners and Losers offers anyone with entrepreneurial dreams unique management methods and scientific models to help build a framework for success. Moments of despair birth real entrepreneurship. It's time to embrace the loss.

We've been making AI more human, but what does AI think about making you more human?After training over 30,000 CEOs, explorer/scientist/bestselling author, Don Schmincke, decides to conduct an unusual experiment:How would Artificial Intelligence train us to improve ourselves?Don says, "I've written books and done over 2,000 speeches on leadership development, so I didn't need to take on another literary project.My intention was to experiment with how AI would respond to a human request for 'personal development'."As an experiment on uncovering self-help insights, Don used a chatbot born on November 2022., called ChatGPT (Chat Generative Pre-Trained Transformer). Built on top of OpenAI's GPT-3 family of large language models, it was fine-tuned with transfer learning and deep learning architectures. It then fed on what humans had published on the internet including Wikipedia, Twitter, Reddit, books, articles, webtexts, and any other data scraped from all corners of the web; about 300 billion words.The chatbot accessed everything published, answered all of Don's questions, and wrote the book . . . all in less than 2 hours.The results were surprising.