Erik challenges the perception of bitcoin as a tool for criminals, emphasizing the broader implications of decentralization in finance. He reflects on the bureaucratic hurdles faced in prioritizing funding sectors and proposes leveraging extensive data from the World Bank to objectively assess the effectiveness of loans. By applying machine learning to historical data, Erik envisions a more efficient allocation of resources, aiming to modernize institutional practices.
