ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? What does it mean for society? In this podcast we discuss the technology behind generative AI, some of the potential legal and societal issues, and what the pros and cons of generative AI are.

For more information see:

Attention is All You Need

arxiv.org/abs/1706.03762

Copilot

github.com/features/copilot

ChatGPT

openai.com/blog/chatgpt

Stable Diffusion

stability.ai/blog/stable-diffusion-public-release

Midjourney

midjourney.com

openVINO

intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Intel Extension for PyTorch

intel.com/content/www/us/en/developer/tools/oneapi/extension-for-pytorch.html

oneAPI

intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Tim Davis @ Texas A&M Github Copilot Tweet

twitter.com/DocSparse/status/1581461734665367554

ChatGPT Tech Radar Article

techradar.com/news/i-asked-chatgpt-to-write-about-itself-in-my-style-so-i-didnt-have-to

Guests

Ezequiel Lanza – Open Source, AI Evangelist @ Intel
Benjamin Consolvo – AI Community Manager @ Intel