"It's a crazy feeling right? To go from just making music in your room to now you get to play to people. It's unreal, I love it."

We spoke to Toronto electronic dance artist LOSTBOYJAY. Riding the wave of a his infectious 2022 single COULD BE WRONG, Jay warmed up the decks in February for a unique underground show deep in the bowels of Toronto's Lower Bay subway station. This track cleverly transforms Brandy's I Wanna Be Down, into a summer-drenched house track. Freshly signed to Polydor Records and the entire festival season ahead of him, there's lots to celebrate. We discuss his journey from producing beats on Soundcloud to playing live shows and the positivity of the electronic dance community. You can catch him live in Toronto at CODA April 8 supporting Low Steppa.

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Starting as the musical brainchild of Jann Wenner and Ralph Gleason in 1967, Rolling Stone magazine turned into a movement and paragon of music journalism history. Entrusting readers with in depth music reviews and interviews. Folk heroes like Mick Jagger and Keith Richards, martyrs like John Lennon and Jimi Hendrix, and saints like Lester Bangs, and Hunter S. Thompson made the pages of the Rolling Stone the center of the musical and cultural universe. What happens to music journalism once the written word turned to digital? We wanted to know. To learn more we spoke to Jason Grishkoff, blogger and creator at Indie Shuffle and SubmitHub, David Harris, editor in chief at Spectrum Culture. Zac Johnson, Senior Product Manager for AllMusic.com and Matthew Perpetua blogger at Fluxblog, formerly of Pitchfork, NPR and the Rolling Stone.

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Jann Wenner @ Berkley

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With any new sophisticated technology, there comes the trial and error, the novelty, the speculation and the question of longevity. In this episode we pull back the curtain on artificial intelligence x music. Turns out its not all robots and conspiracy, so let’s debunk that. We wanted to explore the different sides of how machine learning can offer innovation in music making, as well as the budding questions of ethics and ownership that go along with it. Are you a musician curious about the creative opportunities AI can offer? We wanted to learn more about how musicians and computer scientists are working in tandem with machine learning and the challenges and milestones in this developing field.

To learn more we spoke to Ace Piva, musician and executive director at Over the Bridge, a non-profit organization that provides counselling services to help musicians with addiction and mental health. OTB worked alongside the “Lost Tapes of the 27 Club” – a campaign project that used AI to create new songs by said well-known artists of The 27 Club. We also spoke with Sageev Oore, musician, professor at Dalhousie University and research faculty member at the Vector Institute, to understand some of the more technical attributes concerning AI and machine learning in music making.

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