Michell shares a captivating story titled "The Age of Sun Towers," which highlights the evolution of human-machine collaboration through the lens of IBM's Deep Blue supercomputer defeating world chess champion Garry Kasparov in 1997. Instead of competing against machines, Kasparov decides to collaborate and invent a new form of chess called Centaur Chess. This innovation combines human and machine intelligence, setting the stage for future collaborative advancements.
Michell explains that this session will focus on concepts related to future literacy - understanding the role the future plays in shaping the present. He terms this relationship between humans and machines as "Centaur," emphasizing collaboration and augmenting our capabilities rather than competition or superiority. Michell also introduces the importance of differentiating levels of certainty as we venture into the age of Centaur.
The session dives deeper into the concept of human-machine collaboration, exploring examples from various industries and contexts. Michell discusses Centaur thinking - a powerful approach that combines human intuition with data analysis. While gut feelings remain crucial for success, leveraging data points enhances decision-making and increases capabilities.
Michell provides compelling examples of this collaboration in football coaching, crowd control, and Formula One racing. Football coaches utilize algorithms to analyze game dynamics and player performance, while police leverage data for predictive analysis. In Formula One racing, different race strategies and sensor input are combined to make informed decisions about the game's outcome.
Michell also discusses how developers can harness the power of this Centaur approach, citing examples such as GitHub's Co-pilot or Amazon's fulfillment centers. In these contexts, human intuition and technological capabilities are seamlessly combined to yield better results.
Centaur thinking extends beyond software engineering, with historical applications like Cancun's location determination based on complex data points that a single human could not process alone. Centaur thinking is about augmenting human abilities with technology for improved performance and productivity.
Michell uses the concept of symbiosis from biology to describe different ways machines and humans can collaborate, such as mutualistic (beneficial), parasitic (resource extraction), competitive, or commensal (living together but not directly affecting each other). Participants are encouraged to consider which type of collaboration suits their organization best.
As the session concludes, Michell emphasizes that a computer is an extension of human capabilities and thinking, providing greater efficiency and enabling us to explore new possibilities. He encourages participants to think beyond what machines can do on their own and focus on how they can be combined with human abilities to create meaningful advancements.