🎙️ Podcasts

NVIDIA AI Podcast

Cameron Rose presents 'Operation Squirrel,' an autonomous drone project using Jetson Orin Nano for real-time target tracking and dynamic payload delivery. The system uses a modular C++ software stack with TensorRT-optimized YOLO and OSNet running at 21 FPS, communicating via UART with a flight controller to maintain following distance through velocity commands.

My First Million

Citadel CEO Ken Griffin discusses effective leadership amid market fragmentation and political polarization, emphasizing the necessity of pivoting without sunk cost bias, the dangers of crony capitalism, and the responsibility of executives to speak credibly on policy while avoiding social debates.

NVIDIA AI Podcast

NVIDIA's Isaac ROS team explains how their NITROS framework eliminates costly GPU memory copies in ROS 2 to enable a new era of "Physical AI" where end-to-end learned policies replace traditional robotic control, requiring tight integration of accelerated computing from simulation to deployment on Jetson.

The Pomp Podcast

Chris Perkins proposes reviving the constitutional mechanism of 'privateering'—licensing private citizens to hack back against state-sponsored crypto thieves like North Korea's Lazarus Group—to recover stolen assets, deter attacks, and fund a U.S. crypto reserve at zero taxpayer cost.

NVIDIA AI Podcast

NVIDIA's Aerial Framework enables 6G researchers to write radio access network algorithms in Python/JAX and compile them directly to GPU-accelerated TensorRT engines, eliminating the traditional rewrite-to-C++ bottleneck while meeting sub-500-microsecond real-time latency requirements for over-the-air testing.

NVIDIA AI Podcast

NVIDIA Aerial Framework eliminates the traditional bottleneck of manually converting 6G RAN research into production C++ code by automatically lowering Python, JAX, and PyTorch algorithms into real-time CUDA kernels with microsecond latency, enabling rapid over-the-air deployment cycles.

NVIDIA AI Podcast

NVIDIA Research introduces the Sionna Research Kit, an open-source, $6,000-$8,000 platform running on DGX Spark that bridges simulation and reality by enabling real-time prototyping of AI-native 6G networks with neural receivers, digital twin channel emulation, and commercial 5G hardware integration.

Stanford Online

Andreas Blattmann, co-founder of Black Forest Labs and co-creator of Stable Diffusion, argues that visual intelligence represents the critical next frontier for AI, requiring a fundamental shift from text-centric unimodal models to multimodal systems trained on 'natural representations' (video, audio, physics) to unlock true reasoning, robotics capabilities, and higher intelligence.

Stanford Online

ElevenLabs CEO Mati Staniszewski explains how the company pivoted from an AI dubbing vision to perfecting text-to-speech by staying close to Discord communities, leveraging open-source research, and running lean to solve the 'one voice' dubbing problem he experienced growing up in Poland.

AI Engineer

Angelos Perivolaropoulos from ElevenLabs demonstrates how to train a GPT-2 style language model from scratch using only PyTorch and minimal dependencies, revealing that modern LLM development relies 80% on training methodology and optimization rather than architectural novelty.

Stanford Online

Stanford professors Mehran Sahami and Chris Peach present Code in Place, a free 6-week global Python program achieving 50-60% completion rates—over 10x higher than typical online courses—by pairing thousands of volunteer section leaders with small student cohorts for personalized, human-centric instruction.

The David Lin Report

Colin Joudrie, CEO of Selkirk Copper Mines, explains that copper prices near all-time highs reflect a structural supply deficit driven by decade-long underinvestment in mines and surging electrification demand, while geopolitical tensions and permitting bottlenecks threaten to prolong shortages despite strong economic incentives.