Leading VC Anjney Midha Advises Physics and Philosophy for Frontier AI Research

San Francisco, CA – Anjney Midha, a General Partner at prominent venture capital firm Andressen Horowitz (a16z) and a key investor in leading AI companies, recently offered unconventional advice to young people aspiring to thrive in frontier AI research. Dispelling common notions, Midha suggested that traditional computer science or mathematics degrees are not necessarily paramount, instead advocating for a foundation in physics and philosophy.

Midha shared his perspective on social media, stating: > "I often get asked by young people what to major in college to thrive in frontier AI research - computer science or math? The answer is it doesn’t matter - the best researchers I know self study across disciplines constantly. But if you must, pick physics and philosophy first." His remarks underscore a growing sentiment among industry leaders that interdisciplinary knowledge and continuous self-learning are critical for innovation in the rapidly evolving AI landscape.

As a general partner at a16z, Midha focuses on investments in AI, infrastructure, and open-source technology. His portfolio includes early backing of influential AI entities such as Anthropic, Mistral AI, and Black Forest Labs. This background provides him with a unique vantage point on the skills and intellectual frameworks that drive success in cutting-edge AI development.

Midha's advice aligns with broader discussions within the AI community about the importance of foundational understanding beyond pure technical skills. Physics provides a rigorous framework for understanding complex systems and problem-solving, while philosophy cultivates critical thinking, ethical reasoning, and an ability to grapple with abstract concepts—all increasingly vital for navigating the societal implications and theoretical challenges of advanced AI. This perspective suggests that a deep understanding of fundamental principles, coupled with a proactive approach to learning, may be more valuable than a singular focus on specific technical degrees for those aiming to push the boundaries of AI research.