4.8 • 186 Ratings
🗓️ 10 July 2024
⏱️ 48 minutes
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Rerun:
What’s the most important problems that AI can solve? How close are we to artificial general intelligence? And how can we use AI responsibly? Tune in and find out!
The production team on this episode were PLAN-B’s Nikolai Ovenberg and Niklas Figenschau Johansen. Background research was done by Sigurd Brekke with additional input from our portfolio manager Richard Green.
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0:00.0 | Hi everyone. Now, given what's been going on in the world with AI and the incredible developments we've seen, |
0:07.0 | and with a rocketing share price of Nvidia, which at some stage was the largest company in the world, |
0:13.0 | we have decided to rerun this podcast. It's one of the most interesting conversations I've ever had, and it's more topical than ever. |
0:20.0 | We are back on the 7th of August |
0:21.7 | with a total new lineup for the autumn. You will be amazed. Tune in. |
0:35.9 | Gensen, a big thank you for taking the time today. |
0:39.2 | I have to say I'm normally very excited when I record this podcast. |
0:43.0 | But wow, when I did the preparation for this, incredible. |
0:47.6 | You really are in the middle of all the important things which are happening in society just now. |
0:52.3 | How does it feel? |
0:53.2 | It is gratifying and rewarding. |
0:57.4 | And I'm happy for our company to be able to contribute to so many different areas of science and |
1:03.4 | society. And so it is a thrilling time. Now, you delivered, well, you hand delivered, actually, the first supercomputer to open AI |
1:13.8 | some years ago. Tell us about that. We were just getting into artificial intelligence ourselves, |
1:20.0 | and we're working on autonomous vehicles. And so we were imagining what kind of computer |
1:26.4 | has to be built for this new way of doing software. |
1:33.3 | You know, as the audience probably know by now, that artificial intelligence is a computer that works with software programmers to write software that is refined from data. |
1:49.0 | And that software is impossible for humans to write. |
1:52.0 | It's a gigantic body of code. |
1:55.0 | And it requires a special type of computer. |
1:58.0 | And so when deep learning first came along, we reasoned about how it would fundamentally |
2:06.3 | change computer science. Because the early effectiveness of the first deep learning network that |
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