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Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
Maryland Governor Wes Moore discusses his rise from 1% polling underdog to governor by rejecting partisan orthodoxy, implementing a military-inspired 'leave no one behind' philosophy that reduced violent crime by 50%, and navigating national Democratic politics without treating political opponents as enemies.
Raj Navakoti from IKEA reveals why enterprise AI agents fail to move Jira tickets despite strong coding abilities—they lack institutional knowledge. He proposes a 'demand-driven context' method where agents pull knowledge by failing on tasks and demanding specific missing context, transforming undocumented tribal knowledge into curated, reusable blocks.
China is executing a military-driven space strategy to 'control Earth by controlling space' through dual-use technologies like robotic servicing arms, while domestically facing a fiscal crisis as $2.1 trillion in generational wealth transfers completely untaxed amid extreme inequality and declining government revenues.
NVIDIA researchers Lynn Chai and Luc introduce TensorRT Edge LLM, a purpose-built inference engine for deploying large language models on Jetson edge devices, showcasing NVFP4 quantization and speculative decoding techniques that achieve up to 7x faster prefill speeds and 500 tokens per second generation while previewing a simplified vLLM-style Python API coming soon.
This Jetson AI Lab Research Group call features lightning talks on open-source hardware for remote Jetson access, a real-time emotional AI engine for robots running entirely on Jetson Nano, and updates to the Jetson AI Lab model repository with new performance benchmarks and deployment guides.
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.
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'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.
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'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 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 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.