Thunking vs. Thinking

In this lecture, Cassie Kozyrkov discusses the role of AI in automating tasks and emphasizes the distinction between thinking and “thunking” (mindless, brainless tasks). She argues that AI does not automate thinking but rather the thunking component of tasks.

Kozyrkov addresses concerns about AI replacing creative tasks. Kozyrkov contends that the thinking component, such as deciding what to convey and how to capture ideas, remains crucial in creative endeavors, and cannot be replaced by AI.

Kozyrkov also discusses the concept of “secret cyborgs,” where individuals might prefer to automate thunking tasks but fear revealing this to their bosses. She once again challenges the notion that AI can replace thinking, highlighting the importance of managing thinking, which is harder for managers to measure and observe.

Furthermore, Kozyrkov rejects the idea that AI can truly think on philosophical grounds, asserting that behind every automated decision, there is a human who designed the technology. She calls for accountability in technology design, urging us to recognize and question the subjective decisions made by those designing AI systems.

In conclusion, Kozyrkov encourages embracing the space around thinking, acknowledging that there will always be plenty to think about and work on. She advocates for a responsible approach to AI design, emphasizing the need for individuals to take ownership of thinking and build a better future collaboratively.

See the full lecture below:

If this interested you check out Cassie Kozyrkov's full course on "Making Friends with Machine Learning":