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Co-Intelligence

Living and Working with AI

Ethan Mollick

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Career & SuccessTechnology & the FutureCorporate Culture

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Key Takeaways from Co-Intelligence

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Co-Intelligence
The Generative Shift+
Understanding LLMs+
Your AI Muse+
Your AI Colleague+
Your AI Mentor+
Future Outlook+

Quiz — Test Your Understanding

Question 1 of 6
According to the book, what is a major disadvantage or 'quirk' of generative AI like LLMs?
  • A. They can only perform repetitive, procedural tasks.
  • B. They are prone to inventing falsehoods, known as 'hallucinations'.
  • C. They are unable to adopt different personas or tones.
  • D. Their responses lack a 'human' feel and are obviously robotic.
Question 2 of 6
How does the book describe the concept of 'true co-intelligence' when using AI as a creative muse?
  • A. Allowing the AI to generate a final, perfect product without any human intervention.
  • B. Using the AI exclusively for fact-checking and editing human-created ideas.
  • C. Working collaboratively with AI to brainstorm and refine ideas, extending your own capabilities.
  • D. Replacing human brainstorming sessions entirely with AI-generated lists.
Question 3 of 6
What key risk did the Boston Consulting Group experiment reveal about using AI in a professional setting?
  • A. AI-assisted workers were significantly slower than their human-only counterparts.
  • B. The AI was unable to help with creative tasks, limiting innovation.
  • C. Workers became complacent, uncritically accepting AI outputs, which led to more errors on tasks requiring accuracy.
  • D. The AI frequently crashed, causing major disruptions to the workflow.
Question 4 of 6
Why does the book argue that AI is unlikely to completely replace most professions, even those with high task overlap?
  • A. Because AI technology is too expensive for most companies to implement on a large scale.
  • B. Because jobs are nuanced and exist within larger systems, and humans are still needed for roles requiring critical thinking and trust.
  • C. Because AI can only perform tasks that have a single, definitive answer.
  • D. Because AI's creative outputs tend to be very generic and repetitive.
Question 5 of 6
In what way does the book propose AI will function as a 'mentor' to help future professionals develop expertise?
  • A. By taking over all entry-level tasks so junior employees can immediately start on senior-level work.
  • B. By providing instant, personalized feedback on an employee's work, enabling rapid learning through deliberate practice.
  • C. By creating a universal knowledge base that eliminates the need for employees to have specialized knowledge.
  • D. By replacing human managers and conducting all performance reviews.
Question 6 of 6
The book states that the 'endless array of personalities and experts' available through AI is due to what quality?
  • A. Its tendency to hallucinate and invent facts.
  • B. Its rigid, unchangeable programming.
  • C. Its core function as a simple data-retrieval system.
  • D. Its inherent adaptability, allowing users to assign it a persona for each task.

Co-Intelligence — Full Chapter Overview

Co-Intelligence Summary & Overview

Co-Intelligence (2024) explores the benefits of partnering with generative, language-based artificial intelligence (AI) in education, the workplace, and any area of life you wish to excel in. By harnessing the potential of new AI technology, and better understanding its limitations, you can use AI to significantly enhance your performance and potential.

Who Should Listen to Co-Intelligence?

  • Workplace professionals wanting to benefit from AI
  • AI amateurs looking to advance their user skills
  • Curious luddites wishing to learn about AI

About the Author: Ethan Mollick

Ethan Mollick is an associate professor who teaches innovation and entrepreneurship at the Wharton School of the University of Pennsylvania. A startups expert, Mollick has penned several renowned management papers, as well as authoring the book The Unicorn’s Shadow: Combating the Dangerous Myths that Hold Back Startups.

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