4.1 β’ 11.9K Ratings
ποΈ 14 March 2025
β±οΈ 18 minutes
ποΈ Recording | iTunes | RSS
π§ΎοΈ Download transcript
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0:00.0 | Believe it or not, your next holiday starts here. |
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0:10.6 | Sign up to the British Airways Club and start collecting avios on groceries, online shopping and even your daily commute. |
0:17.6 | You can spend avios on flights, car hire, hotels, experiences and more. Your every day can |
0:23.9 | pay for your holiday. Start collecting today. Search Avios. T's and C's apply. |
0:44.5 | You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. |
0:50.4 | I'm your host, Elise Hu. As a writer, I spend countless hours on the work I put out into the world. |
0:54.4 | And of course, I want to be credited for it. Bylines matter. That's why this talk by Ed Newton Rex hits close to home. |
0:57.6 | He's a generative AI expert, and he shares what he considers to be the dark side of |
1:02.3 | AI today. |
1:04.0 | AI models training on, or as he puts it, stealing unlicensed work by millions of creators. |
1:17.6 | He lays out his vision for a world where AI and creative industries can exist symbiotically. Coming up. |
1:21.6 | The technology and vision behind generative AI is amazing. |
1:26.6 | But stealing the work of the world's creators to |
1:29.3 | build it is not. There are three key things that AI companies need to build their models. |
1:36.3 | Three key resources. People, compute and data. That is, engineers to build the models, GPUs to run the training process, |
1:47.0 | and data to train the models on. |
1:50.0 | AI companies spend vast sums on the first two, |
1:55.0 | sometimes a million dollars per engineer, |
1:58.0 | and up to a billion dollars per model. |
2:01.6 | But they expect to take the third resource training data for free. |
2:06.6 | Right now, many AI companies train on creative work they haven't paid for or even ask permission |
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