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”

Formtech launches the E1 research concept EV

Formtech created a vision of EV when they launched the E1 atFrankfurt’s IAA Motorshow in September.  The research study provides the base for a number of concepts in lightweighting technology using composites, high-end materials and machining. Formtech’s EV started out as a concept for the companies CEO Franz Hilmer, “I wanted to develop a carContinue reading “Formtech launches the E1 research concept EV”

Randomness and Excitement – Part II

As a follow on to my blog last year where I discussed how randomness drives excitement in F1, the first few races of 2011 certainly provided some interesting racing with KERs, DRS and Pirelli providing a set of variables that the teams have not yet completely mastered. However as I was watching the German GP recently IContinue reading “Randomness and Excitement – Part II”

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