The Real Problem of Impostor Syndrome and the Great LARP

The Real Problem of Impostor Syndrome and the Great LARP

Impostor syndrome is a common phenomenon where individuals doubt their own abilities and feel like they are faking their way through their achievements. It is prevalent in various fields, including business, academia, and even machine learning. However, the real problem lies in the fact that people are expected to pretend they know what they're doing, rather than embracing the fact that valuable contributions can be made "by accident."

Take the example of my grandfather, who stumbled upon a successful business model without fully understanding why it worked. He had no concept of his competitive advantage or why people chose him as their real estate agent. As he grew older and withdrew from active involvement in town events and politics, his business suffered. This highlights the importance of self-reflection and understanding the underlying factors that contribute to success.

In the field of machine learning, there is often a prevailing sentiment that "nobody knows what they're doing." While it may be true that perfect models do not exist, there are qualitative differences in the depth of mental models individuals possess. Yoshua, for instance, may not have all the correct models, but he possesses mental models of greater depth than the average person in the field. This allows him to try things systematically, update his models as he goes, and generalize his findings.

The key to overcoming impostor syndrome and gaining a deeper understanding of your field lies in actively engaging with your work. It's not about studying in a classroom or from textbooks, but rather about performing day-to-day tasks and paying attention to what works and what doesn't. When faced with a failed experiment, don't just move on to something else. Instead, immerse yourself in a "firehose of information," ask questions, and debug until you understand exactly what went wrong. By noticing patterns and identifying barriers, you can continuously improve your knowledge and skills.

The relative contributions of individuals who possess a deeper understanding of their field versus those who stumble upon valuable insights by chance depend on three factors: the difficulty of building initial general models, the abundance of "low-hanging fruit" opportunities, and the quality of feedback loops. In fields with good feedback loops and plenty of low-hanging fruit, a mass of individuals shooting in the dark may collectively drive progress. However, in the absence of feedback loops or low-hanging fruit, this becomes less likely. On an individual level, those who possess a deeper understanding will have a higher success rate and the ability to generalize their work further.

Unfortunately, the current norm in many fields is for individuals to obtain official degrees without truly learning the relevant models. This creates a culture where people are expected to "keep up appearances" and act like they know what they're doing. This strategy is reinforced by the concept of generalized Gell-Mann amnesia, where only those who truly understand the field can recognize the lack of knowledge in others. As a result, individuals are not given the space to build models, learn, and truly understand their field.

To combat this phenomenon, here are three actionable pieces of advice:

1. Embrace the learning process: Rather than focusing solely on the end result, embrace the journey of learning and understanding. Actively seek feedback, ask questions, and take the time to reflect on your work. This will help you build valuable mental models and deepen your understanding.

2. Seek out diverse perspectives: Engage with individuals who possess different perspectives and knowledge. By expanding your network and engaging in meaningful conversations, you can challenge your existing models and gain new insights.

3. Emphasize continuous improvement: Treat every experience, whether it be a success or failure, as an opportunity to learn and grow. Strive for a growth mindset, where you view challenges as learning opportunities and actively seek ways to improve your skills and understanding.

In conclusion, impostor syndrome is a complex issue that stems from the expectation to pretend we know what we're doing. However, by actively engaging with our work, embracing the learning process, and seeking out diverse perspectives, we can overcome this challenge and gain a deeper understanding of our field. It is time to move away from the "great LARP" where appearances are prioritized over genuine knowledge and create a culture that encourages continuous learning and improvement.