In this episode of Tech Film Noir, we're watching Strange Days (1995), Kathryn Bigelow's cyberpunk thriller, written by James Cameron, that imagined VR headsets, wearable recording technology and immersive first-person experiences decades before Meta Glasses became a reality.

Join Lianne Potter, Simon Painter and Jeff Watkins as they revisit one of the 90s' most ambitious science fiction films, exploring how Strange Days predicted wearable cameras, bodycam footage as "the only truth", memory streaming and our growing obsession with experiencing life through someone else's eyes.

Ralph Fiennes stars as Lenny Nero, an ex-cop turned black-market dealer of recorded memories, using the SQUID headset to sell other people's experiences. Think Meta Ray-Bans with a very illegal firmware update. Angela Bassett is, unsurprisingly, the coolest person in every room, while the film asks whether technology designed to bring us closer to reality actually leaves us more disconnected than ever.

Along the way we dive into Y2K paranoia, one of the best sci-fi soundtracks of the 90s, cyberpunk world-building, questionable predictions that thankfully never happened, and the ones that absolutely did. Nearly 30 years after its release, Strange Days feels less like forgotten science fiction and more like an instruction manual for the age of VR, wearable AI and smart glasses.

When movies guess the future, we check their work.

Join Lianne Potter, Simon Painter, and Jeff Watkins as they explore how The Running Man predicted many of today's biggest debates, from algorithm-driven entertainment and manufactured public opinion to surveillance, misinformation, and the commercialisation of violence. Inspired by Stephen King's novel, the film asks what happens when truth becomes secondary to ratings and audiences stop questioning the stories they're being sold.

Expect gladiatorial game shows, propaganda masquerading as entertainment, AI-worthy media manipulation, corporate dystopias, delightfully excessive one-liners, and a discussion about why one of the greatest 1980s action films may also be one of its most surprisingly prescient..

When movies guess the future, we check their work.

This episode on Tech Film Noir, we watched The Running Man (1987), the Arnold Schwarzenegger sci-fi action classic that imagined a future where reality television, media manipulation, corporate power, and public spectacle collide. Nearly four decades later, its vision of entertainment-driven society feels less like science fiction and more like an uncomfortable reflection of the modern world.

Join Lianne Potter, Simon Painter, and Jeff Watkins as they explore how The Running Man predicted many of today's biggest debates, from algorithm-driven entertainment and manufactured public opinion to surveillance, misinformation, and the commercialisation of violence. Inspired by Stephen King's novel, the film asks what happens when truth becomes secondary to ratings and audiences stop questioning the stories they're being sold.

Expect gladiatorial game shows, propaganda masquerading as entertainment, AI-worthy media manipulation, corporate dystopias, delightfully excessive one-liners, and a discussion about why one of the greatest 1980s action films may also be one of its most surprisingly prescient..

When movies guess the future, we check their work.

This week on Tech Film Noir, we examine the Al Pacino comedy, Simone (2022), that accidentally saw the future. While the film itself is a chaotic mess of farce, misunderstandings, and increasingly questionable computer science, its central warning feels more relevant than ever: what happens when fake people become more valuable than real ones?

Join Lianne Potter, Simon Painter, and Jeff Watkins as they dissect the Al Pacino movie that accidentally predicted the future. From AI-generated celebrities and digital likeness rights to deepfakes and synthetic media, S1M0NE turns out to be far more relevant than anyone expected…even if the film itself spends most of its runtime desperately trying to avoid its own best ideas.

Expect virtual divas, Hollywood panic, questionable computer science, cyber security by floppy disk ejection, and a masterclass in how to waste a brilliant premise.

When movies guess the future, we check their work.