In this episode of The Turing Test Podcast, Jamie and Rachel break down the latest development in the AI chip wars: AMD's new MI350, a direct competitor to Nvidia's Blackwell. With a staggering 35x performance boost and 288GB of HBM3e memory, AMD has entered the AI chip race in a big way. But can they really take on Nvidia’s dominance in this space?

Jamie and Rachel discuss the potential impact of this chip on the industry, from self-driving cars to AI-powered appliances, and debate whether AMD's long-term strategy could disrupt Nvidia’s stronghold. They also explore the broader implications of the AI chip race, including how it could shape the future of computing, job markets, and the ethical concerns surrounding AI advancements.

Tune in to hear Jamie’s excitement about smart toasters and Rachel’s more cautious take on the ethical challenges ahead. Plus, don't miss their analysis on whether AMD’s bold moves could redefine the future of AI computing!

In this episode of The Turing Test Podcast, Jamie and Rachel discuss the recent rebranding of Claude Dev to Klein and its potential impact on the world of coding. Klein is positioning itself as a powerful open-source code assistant, offering real-time responses and advanced prompt engineering to make coding more intuitive and accessible.

Rachel and Jamie delve into how this shift could reshape coding education, potentially democratizing coding and making it more accessible for non-coders. They also explore the broader implications for developers, including the possible creation of new roles like AI trainers and prompt engineers, as well as the transparency Klein promotes in its development process.

Tune in for an engaging conversation on the future of coding and how Klein is pushing the boundaries of what’s possible with AI!

In this episode of The Turing Test Podcast, Jamie and Rachel celebrate the monumental achievement of Geoffrey Hinton and John Hopfield, who were recently awarded the Nobel Prize for their pioneering work in AI. They dive into the significance of their contributions, specifically Hinton’s backpropagation and Hopfield networks, which form the backbone of modern AI technologies.

Jamie explains how backpropagation works in neural networks, and Rachel adds a critical perspective on the ethics and future implications of these advancements, from concerns about AI safety to the potential impact on jobs. The duo also discuss the exciting and concerning potential applications of AI, including generative models and deep fakes.

Tune in for a lively discussion on the state of AI and what this recognition means for the future of artificial intelligence!

Stay informed on the latest in AI and celebrate this major milestone with us!