meta_pixel
Tapesearch Logo
Log in
Nature Podcast

Backchat: February 2017

Nature Podcast

podcast@nature.com

News, Science, Technology

4.5893 Ratings

🗓️ 1 March 2017

⏱️ 22 minutes

🧾️ Download transcript

Summary

AI generated images, reporting with reluctant sources and space missions with out an end game.

Hosted on Acast. See acast.com/privacy for more information.

Transcript

Click on a timestamp to play from that location

0:00.0

Yes! I just can't believe it!

0:02.4

This Christmas, you could be a millionaire. Get your lotto ticket for tonight's draw.

0:07.1

The National Lottery. Rules and procedures apply. Players must be 18 or over.

0:12.2

Hello and welcome to Backchat. If the Nature podcast is a carefully devised scientific strategy,

0:17.8

then Backchat is a toddler throwing chemicals in a beaker. As ever, we've

0:21.9

gathered a dream team of reporters ready and raring to gossip their way through the next 20 minutes or so,

0:26.8

and with any luck, we'll get some science in there too. This month, artificial intelligence is

0:31.4

getting creative. Plus, how to get a story when your contributors keep their cards close to their

0:36.4

chest, and we'll ask

0:37.9

whether space missions should be fully planned out before they're started. I'm Noah Baker,

0:43.0

and this month we've got a particularly international backchat crew for you. In Munich,

0:47.2

Germany, it's Alison Abbott. Hi, Noah. I cover science policy in Europe and Mediterranean countries and things like neuroscience.

0:57.8

And in Colorado, the United States, it's Alex Wittsey.

1:00.9

Good morning. I'm an Earth and Planetary Sciences reporter with a bit of astronomy dashed in there as well.

1:06.0

And next to me here in London is Davidae, Castelvec.

1:09.2

Hello, and I'm here in London, and when I don't cover

1:12.5

black holes, I cover also other things such as physics, chemistry, maths and AI. And speaking

1:19.5

of AI, that's the first thing that's coming up in this show. Artificial intelligences have been

1:24.3

developing fast in recent years, and they're getting really good at

1:27.9

analysing things, stuff like speech, images and video. But now, AIs are being asked to stop

1:34.3

analysing and get generating, creating images based on nothing but text and some training.

1:40.5

Could be useful for astronomers, but what does this mean in the era of fake news?

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from podcast@nature.com, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of podcast@nature.com and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.