Podcast: War economy, France's supercomputers, La Marseillaise and the Republic

Spotlight on France

A French-German weapons manufacturer ramps up production to meet the needs of France's war economy. An encounter with France's largest supercomputer dedicated to artificial intelligence. And how the Marseillaise national anthem has contributed to reinforcing French values and ideals.

Shortly after the Russian invasion of Ukraine in February 2022, President Emmanuel Macron said France was moving into a "war economy" – calling on weapons manufacturers in particular to produce more and more quickly. We hear from staff at KNDS, a Franco-German defence group half-owned by the French state, about how they've managed to triple production of Caesar artillery and ammunitions to deliver to Ukraine. We also talk about the challenges of funding a war economy, given France's huge deficit, with economist Virginie Monvoisin from the Grenoble School of Management. (Listen @2'20'')

As France aims to become a leader in developing artificial intelligence, it is upping its investment into building the computing power needed to run it. The Jean Zay supercomputer, at the Paris-Saclay university campus south of Paris, is one of France's most powerful, and is available free of charge for researchers. Pierre-François Lavallée, director of France's IT research institute (IDRIS), explains how the supercomputer works, its uses, and how the massive amount of heat generated by the calculations is redirected and reused as a source of energy. (Listen @18'45'')

La Marseillaise became the French national anthem 230 years ago, in 1795. Written in a few hours, on 25 April 1792, it has weathered many a storm and remains a popular symbol of revolutionary fervour against authoritarianism. It has also been reinterpreted in France and abroad to serve other political causes, such as feminism. (Listen @12')

Episode mixed by Vincent Pora.

Spotlight on France is a podcast from Radio France International. Find us on rfienglish.com, Apple podcasts (link here), Spotify (link here) or your favourite podcast app (pod.link/1573769878).