Generative AI's uncanny valley: Problem or opportunity? 2s6w65

12/12/2024

With the rise of generative AI, the concept of the uncanny valley — where human resemblance...

With the rise of generative AI, the concept of the uncanny valley — where human resemblance unsettles, disturbs or disgusts — is more relevant than ever. But is it a problem that technologists need to tackle? Or does it offer an opportunity for greater thoughtfulness about the ways generative AI is being built, deployed and used?
In this episode of the Technology Podcast, host Lilly Ryan is ed by Srinivasan Raguraman to discuss generative AI's uncanny valley and explore how it might offer a model for thinking through our expectations about generative AI outputs and effects. Taking in everything from the experiences of end s to the mental models engineers bring to AI development, listen for a wide-ranging dive into the implications of the uncanny valley in our experience of generative AI today.
Read Srinivasan's recent article (written with Ken Mugrage): https://www.technologyreview.com/2024/10/24/1106110/reckoning-with-generative-ais-uncanny-valley/

Who should make software architecture decisions? 5 meses 34:59 Exploring the intersections of software architecture 5 meses 43:31 AI testing, benchmarks and evals: The fundamentals 4 meses 36:02 Decoding DeepSeek 4 meses 32:59 Architecture as code 3 meses 43:27 Ver más en APP Comentarios del episodio 1m1p6p