
Sign up to save your podcasts
Or
What if we could not only listen to the rest of nature, but actually understand it?
From decoding whale songs to giving nature a legal voice, the possibilities are tantalising - and they may not be as far-fetched as they sound. That’s why the Earth Species Project (ESP) is racing to use artificial intelligence to translate the communication of other species before they fall silent.
How can this cutting edge technology analyse data that would take human researchers a lifetime? And how might findings feed into emerging ideas about ecocentric governance and earth law? We hear from ESP’s Aza Raskin (Co-founder), Jane Lawton (Managing Director) and Olivier Pietquin (Chief Scientist) about this extraordinary mission, and the tools they’re using to achieve the previously unimaginable.
Plus, Christiana Figueres, Tom Rivett-Carnac, and Paul Dickinson explore the promises and pitfalls of AI: its energy demands, its unpredictable impacts on democracy and capitalism, and its potential to become a ‘Galileo moment’ in how humans relate to the living world.
This episode features recordings of animal species - some of which were used in the training of ESP’s NatureLM-Audio model.
Learn more
🔊 Discover more about ESP’s large audio model, NatureLM-Audio, and the technology driving their work
📖 Read Aldo Leopold’s A Sound County Almanac, including the essay Thinking Like a Mountain
🐋 Read about about the story of Tokitae the orca calf
🎤 Leave us your voice notes and questions for upcoming episodes on SpeakPipe
Follow us on social media for behind the scenes moments and to watch our videos:
Instagram @outrageoptimism
LinkedIn @outrageoptimism
Or get in touch with us via this form.
Producer: Ben Weaver-Hincks
Video Producer: Caitlin Hanrahan
Assistant Producer: Caillin McDaid
Exec Producer: Ellie Clifford
Commissioning Editor: Sarah Thomas
This is a Persephonica production for Global Optimism and is part of the Acast Creator Network.
Hosted on Acast. See acast.com/privacy for more information.
4.6
432432 ratings
What if we could not only listen to the rest of nature, but actually understand it?
From decoding whale songs to giving nature a legal voice, the possibilities are tantalising - and they may not be as far-fetched as they sound. That’s why the Earth Species Project (ESP) is racing to use artificial intelligence to translate the communication of other species before they fall silent.
How can this cutting edge technology analyse data that would take human researchers a lifetime? And how might findings feed into emerging ideas about ecocentric governance and earth law? We hear from ESP’s Aza Raskin (Co-founder), Jane Lawton (Managing Director) and Olivier Pietquin (Chief Scientist) about this extraordinary mission, and the tools they’re using to achieve the previously unimaginable.
Plus, Christiana Figueres, Tom Rivett-Carnac, and Paul Dickinson explore the promises and pitfalls of AI: its energy demands, its unpredictable impacts on democracy and capitalism, and its potential to become a ‘Galileo moment’ in how humans relate to the living world.
This episode features recordings of animal species - some of which were used in the training of ESP’s NatureLM-Audio model.
Learn more
🔊 Discover more about ESP’s large audio model, NatureLM-Audio, and the technology driving their work
📖 Read Aldo Leopold’s A Sound County Almanac, including the essay Thinking Like a Mountain
🐋 Read about about the story of Tokitae the orca calf
🎤 Leave us your voice notes and questions for upcoming episodes on SpeakPipe
Follow us on social media for behind the scenes moments and to watch our videos:
Instagram @outrageoptimism
LinkedIn @outrageoptimism
Or get in touch with us via this form.
Producer: Ben Weaver-Hincks
Video Producer: Caitlin Hanrahan
Assistant Producer: Caillin McDaid
Exec Producer: Ellie Clifford
Commissioning Editor: Sarah Thomas
This is a Persephonica production for Global Optimism and is part of the Acast Creator Network.
Hosted on Acast. See acast.com/privacy for more information.
564 Listeners
400 Listeners
128 Listeners
6 Listeners
297 Listeners
60 Listeners
76 Listeners
82 Listeners
172 Listeners
89 Listeners
207 Listeners
405 Listeners
3,103 Listeners
209 Listeners
881 Listeners
46 Listeners