4.6 • 3.6K Ratings
🗓️ 23 April 2024
⏱️ 21 minutes
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The companies behind this wonder of tech are facing allegations of using copyrighted material to build their large language models (LLMs). But will the courts consider it fair use? Why ex-inmates are so likely to die just after they leave prison (10:15). And, the case for booing in sports (16:13).
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| 0:00.0 | The Economist. |
| 0:10.0 | Hello and welcome to thera Ogunbye. |
| 0:15.0 | Every weekday we provide a fresh perspective on the events shaping your world. |
| 0:25.2 | People who have been to prison on average don't live as long as those who haven't, but a new |
| 0:29.8 | study digs into one big contributor to that aggregate fact. |
| 0:34.0 | A staggering number of ex-prisoners die in the days just after being released. |
| 0:41.0 | And an Indian-style cricketer has been hit with a torrent of abuse after switching teams, |
| 0:47.0 | sparking a bigger question about how much booing is too much booming. But first. |
| 1:10.0 | Recently, we've talked a lot on the show about the wonders of generative artificial intelligence, |
| 1:16.4 | about its speed, its breadth of capabilities from writing prose to generating code, and about the breakneck pace of its advancement. |
| 1:26.5 | Investors have taken note too. Open AI, the company behind ChatGPT, is valued at nearly $90 billion. |
| 1:35.0 | Its partner, Microsoft, has a market capitalization of almost $3 trillion, |
| 1:41.0 | making it the world's most valuable company. |
| 1:45.4 | But not everyone is happy about how the AI firms develop their products. |
| 1:50.1 | In each business that I've led, successful new businesses were built on a foundation of licensing |
| 1:56.6 | content rights. |
| 1:58.1 | Earlier this year, Conde Nas CEO, Roger Lynch, argued for congressional action to force AI companies to license the material |
| 2:07.1 | that they use to create their language models. |
| 2:10.1 | Unfortunately, currently deployed Gen AI tools have been built with stolen goods. |
| 2:15.3 | And the producers of what he calls those stolen goods sense an opportunity. |
| 2:21.5 | The problem is that these AI companies, when they were training their |
| 2:24.9 | models, used data from all over the place and this data was created by humans. |
... |
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