On 24 December 2018, Émile Servan-Schreiber shared a late-night interview he remembered as unconventional and friendly. He singled out two musical interludes: Orelsan’s Basique and Cake Woman, which he described as a song composed by artificial intelligence. The link in his post leads to Cause Commune’s Cause à effet #30, whose episode page dates the programme to 23 December 2018.
The episode’s questions about a group mind
The broadcaster identifies Servan-Schreiber as the guest and lists Supercollectif in its bibliography. Its notes ask whether collective intelligence is simply the sum of individual intelligences, and how a group can avoid the weaknesses of the people who compose it. They name cognitive biases, conformity, emotions and a person’s relationship with the group as possible sources of collective error.
The programme description goes further: what would it mean for a collective to have intelligence, emotions, doubts or time to reflect before deciding? Who can legitimately organise such an intelligence? Those are the broadcaster’s framing questions.
The references include Solomon Asch’s conformity experiment. The reference places conformity alongside the other mechanisms of collective error in the broadcaster’s outline. The listing gives a duration of 1 hour, 28 minutes and 44 seconds and provides an audio download.
Two songs beside the discussion
Cause Commune’s music list independently names Orelsan’s Basique and SKYGGE’s Cake Woman, matching the distinctive details of Servan-Schreiber’s share. SKYGGE’s own SoundCloud page presents Hello World as an album composed with artificial intelligence. That context supports reading the musical selection as an example of AI-related creativity; it does not establish autonomous authorship by a machine or the precise production process for Cake Woman.
The music gives the appearance a recognisable identity. Questions about human bias, conformity and the organisation of a group sat alongside a song presented as AI music. The relationship between those subjects also appears in Servan-Schreiber’s later discussion of expertise and diversity. The programme asks what intelligence means when contributions come from several people or from computing tools. Its published outline supplies the topics and musical selections, rather than a transcript of the guest’s answers.
