Communication and the Use of LLMs in Motorsports

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.’

Winning ways in Buenos Aires

Wow, what a weekend! Amlin Aguri’s first win in the FIA’s first fully electric championship! It is an amazing feeling to get a result after all the work put in by the team over the last three years. “Luck is when opportunity meets preparation.” Plus it takes a lot of work to start a newContinue reading “Winning ways in Buenos Aires”

Super Aguri Formula E Tokyo Launch

It is good to be back in the forefront of motorsports with the Super Aguri team again.  We are very much looking forward to the challenges that Formula E is going to throw at us.  Being at the forefront of motorsports technology and developing the technology of the future is exciting.  We believe that thereContinue reading “Super Aguri Formula E Tokyo Launch”

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