Tokenmaxxing: Maximizing AI Model Token Consumption Through Parallelization

Tomasz Tunguz describes 'tokenmaxxing,' a practice of deliberately maximizing token consumption by parallelizing multiple AI agents to work simultaneously. He demonstrates a 20x increase in token usage over six weeks, from burning 250 million tokens in a single day by structuring daily plans that leverage autonomous agent capabilities for extended periods.