Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
DoorDash CEO Tony Xu explains how the company won the food delivery wars by prioritizing multi-dimensional service excellence and organic retention over discounting during capital-scarce years, while analyzing how rising labor costs are forcing restaurants to choose between hospitality and manufacturing models.
China is emerging as the world's dominant exporter of AI tokens—the computational fuel for large language models—delivering 4.12 trillion tokens in one week compared to America's 2.94 trillion at roughly one-sixth the cost, creating a structural advantage that is driving US startups to adopt Chinese models despite escalating geopolitical tensions over data security and technological dependence.
Oxbow Advisors CIO Chance Finucane warns that despite markets pricing in a swift resolution to the Iran conflict, the US economy faces a return to stagflationary conditions—combining elevated inflation with growth deceleration—while the recent equity rally remains dangerously narrow and driven by just a handful of tech stocks.
This seminar presents a paradigm shift in robot learning by replacing teleoperation with direct capture of human egocentric experience using wearable sensors, demonstrating that scaling human data—combined with alignment techniques like optimal transport—enables dramatic performance gains and zero-shot task transfer to robots.
This lecture introduces GPU architecture for language model training, explaining the shift from serial CPU execution to parallel GPU throughput, the critical importance of memory hierarchies, and the SIMT programming model essential for efficient deep learning systems.
Stanford economist Nick Bloom explains the growing divergence between text-based uncertainty measures (newspapers) and market-based metrics (VIX), arguing that while media negativity has hit 200-year highs, actual economic uncertainty likely sits at a moderate 7/10—high enough to freeze hiring but not as extreme as headlines suggest.
This lecture introduces flow matching as a third paradigm for generative modeling, explaining how it deterministically transports probability distributions from Gaussian noise to data through learned vector fields, while contrasting its velocity-based mechanics with diffusion and score matching approaches.
This workshop demonstrates how to build production-grade deep research agents by navigating the spectrum from rigid workflows to autonomous systems, emphasizing strategic context management and hybrid architectures to automate high-quality technical content creation while avoiding generic 'AI slop'.
Technical analyst Gary Wagner applies Elliott Wave theory to forecast gold reaching new all-time highs above $5,600 within 3-6 months after completing its ABC correction at $4,100, while noting the current unusual inverse correlation where gold rises alongside stocks despite falling crude oil prices.
Noetik is tackling the 95% failure rate of cancer clinical trials by training transformers on proprietary multimodal patient tumor data to identify hidden biological subtypes and match therapies to responsive populations, moving beyond simplistic biomarkers and outdated cell lines.
Aaron Levie argues AI will dramatically increase demand for developers and professional workers, not eliminate them, as coding democratization allows non-tech industries (agriculture, pharma, banking) to automate for the first time, while creating new 'Agent Operator' roles to manage human-AI workflows in regulated enterprises.
A New York Times investigation reveals that the Supreme Court's controversial 'shadow docket' originated in a pivotal five-day period in 2016, when Chief Justice Roberts successfully pushed to block Obama's Clean Power Plan through emergency orders, fundamentally altering how the court handles urgent cases with minimal deliberation.