During his tenure at Arrows Grand Prix in 1999, the author used genetic algorithms to enhance F1 cars’ performance, a pioneering move at a time of limited computing power. Moving to McLaren, he considered implementing an ‘on-prem’ Google server to harness the team’s vast ’embedded knowledge.’ Experiencing communication difficulties at the Super Aguri team, he experimented with relocating pitwall engineering and exploring texting for in-car communication. Owing to computing advancements, machine learning has evolved, with tools like ChatGPT facilitating enhanced race communications and decision-making based on a data-informed ‘prompt engineering.’