In a field as complex as AI for science, even top experts know only a fraction of what's needed. Periodic Labs prioritizes intense curiosity and mission alignment over advanced degrees, recognizing that everyone, regardless of background, faces a steep learning curve to grasp the full picture.

Many people hesitate to enter fields like AI policy because they lack initial passion. However, deep interest often develops after acquiring skills and engaging with meaningful work. Passion is a result of competence and seeing one's impact, not a prerequisite for starting.

For the most profound and unsolved problems in a field like complexity theory, the lack of established knowledge creates a level playing field. Young researchers shouldn't wait for permission or seniority to start thinking about them, as nobody has a significant head start.

When moving to a new industry, even as an experienced engineer, expect to start at the bottom. Embracing a "beginner's mindset" to learn the new domain's specific applications of fundamental principles is key to proving your value and succeeding in a new environment.

You can accelerate your path to expertise by focusing on emerging domains like AI coding. In a new field, there are no 20-year veterans, allowing you to reach the frontier of knowledge much faster by simply putting in the hours.

Don't try to learn everything about AI before starting ("Have, Do, Be"); the field moves too fast. Instead, adopt the identity of a builder ("Be"), start a project ("Do"), and you will acquire the necessary knowledge along the way ("Have"). This action-oriented approach is more effective.

Young scientists can't map a career in a field that hasn't been invented. The large-scale genomics work Professor Koenen now leads was technologically impossible when she began her Ph.D. This highlights the need to focus on foundational skills and adaptability over rigid, long-term career plans in rapidly evolving scientific areas.

Robinhood co-founder Baiju Bhatt, a self-described "finance bro" and novice in aerospace, leveraged AI to quickly get up to speed. He found AI dramatically lowered the barrier to entry by allowing him to learn complex physics concepts conversationally, without getting stuck on the formal language and mathematics of textbooks.

The "burden of knowledge" is often overestimated. By obsessively focusing on a niche technical topic and engaging with experts, you can quickly identify unsolved problems and reach the cutting edge, where even established experts will recognize your unique insights.