4.6 • 1.6K Ratings
🗓️ 7 January 2025
⏱️ 12 minutes
🧾️ Download transcript
Click on a timestamp to play from that location
0:00.0 | Ready to launch your business? Get started with the commerce platform made for entrepreneurs. |
0:04.8 | Shopify is specially designed to help you start, run and grow your business with easy customizable themes that let you build your brand. |
0:12.5 | Marketing tools that get your products out there. Integrated shipping solutions that actually save you time. |
0:17.5 | From startups to scaleups, online, in, and on the go. Shopify is made for |
0:22.9 | entrepreneurs like you. Sign up for your $1 a month trial at Shopify.com slash setup. |
0:33.8 | Welcome to Tech News Briefing. It's Tuesday, January the 7th. I'm James Rundle for the Wall Street Journal. |
0:40.7 | Generative artificial intelligence is supercharging robots. We'll hear why advancements in AI |
0:46.0 | mean you might just start seeing robots appear everywhere from the grocery store to the hospital ward. |
0:51.0 | And then quantum computing holds enormous promise for solving some of the world's most difficult |
0:55.5 | problems, but it could also break some of its strongest protections, particularly in cryptocurrency. |
1:01.5 | Our reporter Alexander Ozzavovich joins us to discuss. |
1:08.1 | But first, generative AI is everywhere, from computer arts to corporate chatbots. |
1:13.7 | But where it might have one very visible impact is in the way robots will start to creep into our everyday lives. |
1:19.9 | Once the stuff of science fiction, researchers are now looking at how AI can help power robots that stock shelves and supermarkets, |
1:26.9 | cut vegetables and kitchens, |
1:28.4 | and even deliver prescriptions in hospitals. WSJ reporter Isabel Biscette joined Cordelia James |
1:34.4 | to talk about the rise of the robots. Here's their conversation. |
1:38.5 | Isabel, how do these robots work traditionally and how might generative AI give them a boost? |
1:45.2 | Yeah, so traditionally we think about robots as needing to operate in really structured environments. |
1:51.6 | They're trained to do narrow and specific set of tasks. |
1:57.2 | And they have to do those tasks in an environment that they're familiar with. they've been trained on, and they really run into a lot of problems when the environment they're in or the world they're in is not exactly what they were trained to expect. |
2:11.4 | And in the normal human world that we operate in, we know that's always the case. Not every door opens the same way. |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from The Wall Street Journal, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of The Wall Street Journal and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2025.