In-depth conversations with leaders in ML, AI and Data (MAD), hosted by Matt Turck, Partner at FirstMark Capital, an early stage venture capital firm based in New York (see FirstMark.com).
Databases are undergoing a fundamental transformation as AI agents increasingly automate the creation, management, and optimization of data systems. While vector databases initially emerged as a specialized solution for retrieval-augmented generation, they have now become standard features integrated across most databa...
Physical AI bridges the gap between digital intelligence and the physical world by digitizing infrastructure, construction sites, and utility grids. Integrating hardware sensors—such as dash cams and asset trackers—with cloud-based AI transforms operational data into actionable insights. By processing 25 trillion data ...
AI inference speed has become the primary driver of computing innovation as AI transitions from a novelty to a productive tool. Cerebras CEO Andrew Feldman argues that traditional GPU architectures struggle with the sequential, memory-intensive nature of inference, necessitating a shift toward wafer-scale chips that ut...
The current AI infrastructure build-out represents one of the largest industrial undertakings in history, functioning as a massive factory system that converts electricity into intelligence. As demand for compute consistently outstrips supply, OpenAI’s "Stargate" strategy utilizes a portfolio approach, partnering with ...
Open-source AI serves as a critical catalyst for global innovation, enabling organizations to deeply integrate customized models with their proprietary data. NVIDIA’s Nemotron family exemplifies this commitment, functioning both as a research vehicle to inform hardware design—such as the Blackwell architecture—and as a...
Frontier AI development has shifted from optimizing models for verifiable benchmarks like math and coding competitions toward enhancing reliability for messy, real-world utility. Yann Dubois, co-lead of the post-training frontiers team at OpenAI, explains that this transition relies on scaling reinforcement learning to...
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