This podcast interviews the product lead and founding ML engineer of Community Notes, a feature on X (formerly Twitter) that allows users to add context to potentially misleading posts. The discussion details the algorithm's design, emphasizing its focus on achieving consensus among users with differing viewpoints to ensure neutrality and accuracy. The interview covers the project's origin story, its evolution from Birdwatch, and its surprising success, including its recent adoption by Meta. A key takeaway is the team's lean structure and agile methodology, which prioritized speed and impact over traditional corporate processes. Listeners gain insights into building high-impact products with small, focused teams and the importance of transparency and user trust.
