Do we have an AI hype problem?
Marketplace Tech
Marketplace
4.5 • 1.3K Ratings
🗓️ 3 April 2023
⏱️ 8 minutes
🧾️ Download transcript
Summary
Last week, more than 1,000 experts in science and technology signed an open letter to labs developing advanced artificial intelligence, asking them to pause the “out of control race” to train ever more powerful systems. The letter warns that these “non-human minds” might eventually outsmart us, risking the “loss of control of our civilization.” But such framing misses the mark, according to Emily M. Bender, a computational linguist at the University of Washington who is skeptical of “AI hype.” Marketplace’s Meghan McCarty Carino spoke with Bender about what she sees as the real dangers in these models, starting with the way they use language itself.
Transcript
Click on a timestamp to play from that location
| 0:00.0 | People are getting pretty freaked out about AI, but are they worried about the right things? |
| 0:08.7 | From American public media, this is Marketplace Tech. |
| 0:11.8 | I'm Megan McCarty-Karino. |
| 0:22.8 | Last week, Elon Musk, along with more than 1,000 experts in science and technology, signed |
| 0:28.9 | an open letter to labs developing advanced artificial intelligence, asking them to pause what |
| 0:36.0 | they call the out-of-control race to train ever more powerful systems. |
| 0:41.6 | The letter warns these, quote, non-human minds might eventually outsmart us, risking the |
| 0:47.5 | loss of control of our civilization. |
| 0:51.0 | It's a framing that Mrs. The Mark, according to Emily M. Bender, she's a computational |
| 0:56.9 | linguist at the University of Washington, who is skeptical of AI hype. |
| 1:02.4 | Which isn't to say she doesn't have concerns about this technology. |
| 1:06.9 | She and co-authors lay a number of them out in a 2021 paper called on the dangers of stochastic |
| 1:12.7 | parrots. |
| 1:13.7 | That's how she describes large language models like chat GPT. |
| 1:18.4 | Text is very convincing. |
| 1:20.6 | Language is something we associate with other humans. |
| 1:23.4 | And when we understand language, what we're doing is imagining the mind behind the language. |
| 1:30.2 | And when the text didn't start from a human, but it started from one of these probabilistic |
| 1:34.6 | text synthesis machines, we are still going to be prone to imagining a mind that's there |
| 1:39.8 | and being fooled into thinking it is understanding, reasoning, having thoughts about the world |
| 1:44.6 | when it's not. |
| 1:46.0 | Now, one of the dangers you have not listed is the idea that AI will turn evil or put us |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Marketplace, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Marketplace and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2026.

