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A career in science can evolve from pursuing pure intellectual curiosity (like quantum gravity) to prioritizing tangible impact. Prof. Max Welling describes this shift as a natural evolution with age, where a new dimension of making a positive impact on issues like climate change becomes a primary motivator.
Kevin Scott recounts leaving his PhD because his work was intellectually stimulating but had marginal real-world impact. At Google, he chose to automate ad approvals—a less 'sexy' problem that ultimately saved the company a billion dollars in operating costs, cementing his 'impact-first' framework.
Despite a PhD in the molecular biology of lung cancer, Dr. Manley's career shifted to health equity. This wasn't a planned transition but a direct response to seeing his family's healthcare struggles and requests from underserved patient communities, showing how personal experience can create new professional missions.
PhD student Raghav Sehgal, originally studying AI for cancer, attended a talk on aging solely for the free food. The speaker's reframing of aging as a curable disease, rather than a specific ailment, inspired him to change his entire research focus to longevity's root causes.
Purpose isn't exclusive to high-status professions. Any job can become a source of deep purpose by connecting its daily tasks to a larger, positive impact. A NASA custodian can be "putting a man on the moon," and a parking attendant checking tire treads can be ensuring driver safety. Purpose is a mindset.
Many engineers start by wanting to work on cutting-edge, abstract technical challenges (like LLM memory) but later pivot to finding greater satisfaction in applying that technology to solve concrete customer problems with measurable business impact, a common 'metamorphosis' in their careers.
Contrary to sci-fi visions, the immediate future of AI in science is not the fully autonomous 'dark lab.' Prof. Welling's vision is to empower human domain experts with powerful tools. The scientist remains crucial for defining problems, interpreting results, and making final judgments, with AI as a powerful collaborator.
After proving quantum mechanics at a macro scale, John Martinis was inspired by a Richard Feynman talk on quantum computation. Feynman's vision for a practical application provided the motivation for Martinis to dedicate his career to building a quantum computer, transforming an abstract discovery into a world-changing goal.
Christoph Lengauer advises that the immense challenges and delayed gratification in science demand an obsessive passion, not just casual interest. He compares it to extreme sports, where only the deeply committed should participate, as this obsession is crucial for navigating the long and arduous path to impact.
When all immediate career goals are met, the next step isn't another small target but a larger visioning exercise: "What will my life and impact look like in 20 years?" This long-term re-framing creates a new, more profound sense of purpose that drives the next chapter of a career.
At 70, Khosla's ambition is to create more change in the next 20 years than in the previous 50. His motivation is the intrinsic satisfaction of solving hard problems, not building a personal legacy for posterity.