AI is engineered to eliminate errors, which is precisely its limitation. True human creativity stems from our "bugs"—our quirks, emotions, misinterpretations, and mistakes. This ability to be imperfect is what will continue to separate human ingenuity from artificial intelligence.

This idea posits that language is a lossy, discrete abstraction of reality. In contrast, pixels (visual input) are a more fundamental representation. We perceive language physically—as pixels on a page or sound waves—and tokenizing it discards rich information like font, layout, and visual context.

Technical talent is not the primary driver of resonant creative work. The key ingredient is 'taste'—an unteachable ability to discern what will be emotionally pleasing and impactful to an audience. This intuitive sense separates good creators from great ones.

True creative mastery emerges from an unpredictable human process. AI can generate options quickly but bypasses this journey, losing the potential for inexplicable, last-minute genius that defines truly great work. It optimizes for speed at the cost of brilliance.

A joke is incomplete without an audience's laughter. This makes the audience the final arbiter of a joke's success, a humbling reality for any creator. You don't get to decide if your work is funny; the audience does. Their reaction is the final, essential component.

To write comedy professionally, you can't rely on inspiration. A systematic process, like 'joke farming,' allows for the reliable creation of humor by breaking down the unconscious creative process into deliberate, replicable steps that can be performed on demand.

Focusing solely on making communication faster or shorter is a mistake. Communication ultimately fails if the recipient doesn't interpret the message as the sender intended. The true goal is creating shared understanding, which accounts for the recipient's personal context and perspective, not just transmitting data efficiently.

The most creative use of AI isn't a single-shot generation. It's a continuous feedback loop. Designers should treat AI outputs as intermediate "throughputs"—artifacts to be edited in traditional tools and then fed back into the AI model as new inputs. This iterative remixing process is where happy accidents and true innovation occur.

Effective creation is not a linear process but a continuous cycle. Start with chaotic ideas, apply strategic constraints to create a tangible asset, and then use the feedback and new questions from your audience—the 'new chaos'—to fuel the next iteration or creation.