Ryan is joined by Jan Liphardt, CEO and co-founder of OpenMind, to chat about the rapidly evolving world of humanoid robotics and what it means for humans, why OpenMind is building an open-source operating system for robots that processes logic in natural language, and how putting Asimov’s Laws on the blockchain might be the key to robotics guardrails.
Two guests for the price of one! This episode has two interviews recorded at AWS re:Invent back in December.
Ryan welcomes Simone Kalmakis, VP of Engineering at Viam, to dive into how her team is bridging the gap between software and robotics, the importance of abstraction layers in making robotics more accessible, and the real-world applications of robotics from lobster traps to industrial sanding robots.
Ryan welcomes Geraint North, AI and developer platforms fellow at Arm, to dive into the impact of GenAI on chip design.
Ryan is joined by Tuhin Srivastava, CEO and co-founder of Baseten, to explore the evolving landscape of AI infrastructure and inference workloads, how the shift from traditional machine learning models to large-scale neural networks has made GPU usage challenging, and the potential future of hardware-specific optimizations in AI.
Ryan and Ben welcome Alex Malcoci, CEO and founder of MiniProto, to talk innovations in hardware prototyping, the evolving complexities of the global supply chain, the impact of the US-China trade war on manufacturing, and how automation in production could lead to new training programs for future engineers.
At HumanX 2025, Ryan chatted with Rodrigo Liang, cofounder and CEO of SambaNova, about reimagining 30-year-old hardware architecture for the AI era.
Austin Spiegel, CTO and co-founder of Sift, tells Ben and Ryan about his journey from studying film to working at SpaceX to founding Sift.
Ryan and Ben chat with Raymond Lo, AI software evangelist at Intel, about the AI PC, the software that powers AI breakthroughs, and optimizing hardware and software in unison to improve generative AI performance.
There are new ways to leverage different CPU architectures to increase application performance and reduce cloud compute costs. Making the cloud-native stack multi-architecture ready helps applications run on the right hardware in cloud environments.
Vision AI used to be something only specialized shops could add to projects. Now it's accessible to any software developer out there.
If you think your software experience will let you build a hardware project easily, you might be a bit too ambitious. It's very different from software.
