Ahead of this weekend's British Grand Prix, F1 revealed its first full-size mock-up of its next-generatio🅷n car that will be introduced from next season, with the aim of improving the quality of racing a🌼nd enabling chasing cars to follow more closely.

But speaking at a special launch event at Silverstone, Nikolas Tombazis, the FIA’s head of single-seater technical matt💧ers, urged caution over expecting immediate results.

“We expe🍬ct to see closer racing,” Tombazis explain🍌ed.

“Maybe not from the first race because maybe somebody will get the new rules right and somebody’s wrong, but very soon we expect to see a closer level of competitiveness between the cars and cars being able to follow each ot꧅her more closely.”

Tombazis ꧂added: “It won't happen overnight. We will obvi🔥ously study what solutions the teams produce, and we will keep working at it, to improve.

"But we believ🔯e over time the racing will꧂ improve sizeably.”

F1 technical chief Pat Symonds claimed that the level of detailܫed simulation work that went into the development of the 2022 car was the equivalent of 471 years’ worth of computing.

“We started the journey in 2017 so we spent longer oღn this car than I think any other car that has been produced in Formula 1, in terms of getting some regulations💫 together,” Symonds said.

“The aerodynamics generally in a team is developed in three ways – it’s developed using computational fluid d🐬ynamics, it’s done using an actual windtunnel, and it’s done using the car itself.

“We didn’t have access to the latter so we’ve really concentrated on our computational fluid dyꦆnamics and backed it up with some windtunnel testing.

“But our CFD has been much more sophisticated than is used in the teams, and we’ve been able to do that thanks to our partners at Amazon AWS, who’ve allowed us to run these very sophiꦅsticated simulations – around a 70% saving in time to what we were doing initially.

“To give you an๊ idea of how big these things are, our CFD project uses over 1150 computer cores and we have 550 million data points on each model that we run.

“We’ve run 7500 simulations since we starte꧒d so that’s around 16 and a half million core hours o🎃f computing.

“Now to put that into context, if 🥀you did that onꦰ a pretty sophisticated four-core laptop it’ll take you 471 years to do what we’ve done in developing this car.

“We’ve also produced a huge amount of data, around a petabyte of data. And to put that in context that’s equivalent to 10 million four-drawer filing cabinets full of🉐 paper all written on or around a third of the 10 billion images that are on Facebook at the moment.”