The Freecodecamp Podcast
#208 The three paths AI could take from here - Shawn Wang SWYX interview
- Autor: Vários
- Narrador: Vários
- Editor: Podcast
- Duración: 1:15:59
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Sinopsis
Today Quincy Larson interviews Shawn Wang. He's a software engineer, founder of the AI Engineer conference, and host of the Latent Space podcast focused on applying the latest models toward getting work done. We talk about: - How even if LLMs plateau, there will be still paths to better output through surrounding harness code - And three big areas researchers are exploring to further improve model performance: World Models, Multi-modality, and Embodied AI - Which skills Shawn thinks are most important for developers going forward - And why Shawn thinks you should switch your own self teaching from "just-in-time learning" to "just-in-case learning" Support for this podcast comes from the 10,113 kind folks who donate to our charity each month. Join them and support our mission at https://donate.freecodecamp.org Get a freeCodeCamp tshirt for $20 with free shipping anywhere in the US: https://shop.freecodecamp.org Links from our discussion: - Shawn's Tiny Teams Playbook: https://www.latent.space/p/tiny - Shawn's