Audio Long-read: Rise Of The Robo-writers Nature podcast

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Audio long-read: Rise of the robo-writers

3y ago 23:47

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Contenuto fornito da podcast@nature.com and Springer Nature Limited. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da podcast@nature.com and Springer Nature Limited o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In 2020, the artificial intelligence (AI) GPT-3 wowed the world with its ability to write fluent streams of text. Trained on billions of words from books, articles and websites, GPT-3 was the latest in a series of ‘large language model’ AIs that are used by companies around the world to improve search results, answer questions, or propose computer code.

However, these large language model are not without their issues. Their training is based on the statistical relationships between the words and phrases, which can lead to them generating toxic or dangerous outputs.

Preventing responses like these is a huge challenge for researchers, who are attempting to do so by addressing biases in training data, or by instilling these AIs with common-sense and moral judgement.

This is an audio version of our feature: Robo-writers: the rise and risks of language-generating AI

Hosted on Acast. See acast.com/privacy for more information.

… continue reading

792 episodi

Artwork

Audio long-read: Rise of the robo-writers

146,302 subscribers

published 3y ago

Condividi

MP3•Pagina principale dell'episodio

Contenuto fornito da podcast@nature.com and Springer Nature Limited. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da podcast@nature.com and Springer Nature Limited o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In 2020, the artificial intelligence (AI) GPT-3 wowed the world with its ability to write fluent streams of text. Trained on billions of words from books, articles and websites, GPT-3 was the latest in a series of ‘large language model’ AIs that are used by companies around the world to improve search results, answer questions, or propose computer code.

However, these large language model are not without their issues. Their training is based on the statistical relationships between the words and phrases, which can lead to them generating toxic or dangerous outputs.

Preventing responses like these is a huge challenge for researchers, who are attempting to do so by addressing biases in training data, or by instilling these AIs with common-sense and moral judgement.

This is an audio version of our feature: Robo-writers: the rise and risks of language-generating AI

Hosted on Acast. See acast.com/privacy for more information.

… continue reading

792 episodi

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