Robin Bordoli of Weights & Biases explores AI's exponential growth, from past achievements to the current agentic landscape. He discusses the rise of reinforcement learning, the challenge of productionizing reliable agents, and highlights how foundational issues in AI development persist even as model capabilities soar.
a16z's Anish Acharya and Kevin Rose discuss how AI is fueling a renaissance in consumer technology. They explore the rise of emotional interfaces and AI companions, the importance of backing 'weird and working' founders, and how the modern AI development stack empowers solo creators to build, prototype, and launch products with unprecedented speed and craftsmanship.
Distinguished Engineer Chris Hay demonstrates how to run and program Large Language Models (LLMs) locally in just two lines of Python code. The tutorial covers setting up a local environment with Ollama and UV, using a custom library for simplified interaction, and explores advanced topics like asynchronous streaming, persona customization with system prompts, and managing multi-turn conversations.
Shirish Gupta and Ish Shah from Dell Technologies explore the evolving landscape of AI hardware. They discuss why Windows, enhanced by WSL 2, remains a dominant platform for developers, and delve into the distinct roles of CPUs, GPUs, and the increasingly important Neural Processing Units (NPUs). The conversation covers the trade-offs between local and cloud computing for AI workloads and introduces new hardware, like workstations with discrete NPUs, that are making on-device AI more powerful and accessible than ever.