Mysteries of Science

Deepfakes

Can you believe everything you see and hear online? Dan and Michael navigate the fascinating and unsettling world of deepfakes: images, videos, and audio so realistic you might not know they’re fake. With help from tech experts and researchers, they reveal how deepfakes are made, why they’re getting better and harder to spot and challenge you to outsmart the fakes yourself. Along the way, find out how deepfake tech brings movie characters back to life and why we all need to sharpen our digital detective skills for the future. Test your skills, learn the science behind AI trickery, and discover how to stay savvy in a world where seeing (or hearing) isn’t always believing... See omnystudio.com/listener for privacy information.

Undercover in Area 51

Dan and Michael don their detective hats and head into the Nevada desert to investigate one of the biggest mysteries on Earth: Area 51. Some say it’s just a top-secret US military base for testing new aircraft. Others believe it’s the hiding place for crashed UFOs and even extraterrestrial visitors... See omnystudio.com/listener for privacy information.

Curious lives of octopuses

Hosts Dan and Michael investigate the curious lives of octopuses: a creature with three hearts, colour-changing skin, and arms that almost think for themselves... Why are octopuses such masters of disguise? Just how smart are they? And what secrets lurk within bodies?See omnystudio.com/listener for privacy information.

Flashy dinos

Over the past few decades, our ideas about what dinosaurs looked like have changed. Dinos were once thought of as scaly creatures, closely related to reptiles. Now, they are thought to have come in a beautiful array of colours, some with flashy feathers. The Science+Nature team, along with expert guests, unpack this mystery as we ask: what did dinosaurs look like?See omnystudio.com/listener for privacy information.

Smart machines and artificial intelligence

Clever machines have appeared in countless films and are making headlines all the time, but what exactly does it mean? How does it actually work? And could computers ever become so intelligent that they end up doing everything for us?See omnystudio.com/listener for privacy information.