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To fund breakthrough ideas, don't seek consensus. Instead, identify proposals that are highly polarizing among experts—where half think it's brilliant and the other half thinks it's terrible. This indicates a departure from the norm and holds the potential for true innovation.

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Contrary to conventional wisdom, pursuing massive, hard-to-solve ideas makes it easier to attract capital and top talent. Investors prefer the binary risk-reward of huge outcomes, and the best employees want to work on world-changing problems, not incremental improvements like a new calendar app.

The AI safety community acknowledges it lacks all the ideas needed to ensure a safe transition to AGI. This creates an imperative to fund 'neglected approaches'—unconventional, creative, and sometimes 'weird' research that falls outside the current mainstream paradigms but may hold the key to novel solutions.

True entrepreneurial opportunity exists where consensus is wrong. By the time a trend like AI or cloud computing is mainstream, it's too late to build a foundational company. Entrepreneurs must find ideas that are currently not well-liked or appreciated and see the gap between the popular view and the idea's actual potential.

Government funders like the NIH are inherently risk-averse. The ideal model is for philanthropists to provide initial capital for high-risk, transformative studies. Once a concept is proven and "de-risked," government bodies can then fund the larger-scale, long-term research.

Yosemite's investment portfolio shows a bias towards "first in class" or potentially curative "last in class" therapies. This indicates a higher tolerance for innovation risk, betting on novel modalities and groundbreaking science over safer, incremental advances.

When an idea is met with a "wall of skepticism" from investors, it can be a positive sign of a good, non-obvious market. If every VC immediately validates your idea, it's likely too obvious and crowded. Proving early skeptics wrong with traction is a powerful path to building a defensible business.

Unlike weak-link problems (e.g., food safety) where you fix the worst part, science is a strong-link problem where progress depends entirely on the best outcomes. The optimal strategy is therefore to increase variance by funding more weird, high-risk ideas.

Pursuing a genuinely non-obvious idea feels risky, not just uncertain. This feeling of danger—the fear of wasting years on a potential failure—is often a signal that you're working on something truly contrarian and valuable, as it deters others.

To achieve exceptional results, you must believe something and take action that the consensus thinks is wrong. This requires a non-consensual, often stubborn conviction. This path is high-risk because it means you are either a visionary who is early or you are simply an idiot.

Sequoia's internal data shows consensus is irrelevant to investment success. A deal with strong advocates (voting '9') and strong detractors (voting '1') is preferable to one where everyone is mildly positive (a '6'). The presence of passionate conviction, even amid dissent, is the critical signal for pursuing outlier returns.