Ai applications

Ben Horowitz on Investing in AI: AI Bubbles, Economic Impact, and VC Acceleration

Ben Horowitz on Investing in AI: AI Bubbles, Economic Impact, and VC Acceleration

Ben Horowitz of Andreessen Horowitz discusses how AI is reshaping venture capital, detailing the firm's strategy for managing partners, verticalizing teams, and evaluating investments in real-time. He breaks down the current AI cycle, arguing that application design and model orchestration are key, and explains why the current market's growth is driven by real demand, not just hype.

Live from DevDay — the OpenAI Podcast Ep. 7

Live from DevDay — the OpenAI Podcast Ep. 7

In a special live episode from OpenAI Dev Day, host Andrew Mayne interviews founders from SchoolAI, jam.dev, Abridge, and Cursor. They discuss how they are using AI to transform education, web development, healthcare, and coding, sharing insights on their product strategies, technical challenges, and excitement for the next wave of agent-based AI tools.

The State of AI: Growth, Fragmentation, and the Next Wave

The State of AI: Growth, Fragmentation, and the Next Wave

General Partners from a16z analyze the current AI landscape, revealing that AI companies are growing faster and larger than anticipated. They discuss the fragmentation of the market, the innovator's dilemma facing SaaS incumbents, and the emergence of new moats like brand. The conversation emphasizes a shift from hype to tangible ROI, citing examples like Cursor, and outlines a nuanced investment strategy for a market defined by both unprecedented growth and rapid wipeouts.

State of Startups and AI 2025 - Sarah Guo, Conviction

State of Startups and AI 2025 - Sarah Guo, Conviction

Sarah Goa from the AI-native venture fund Conviction discusses the state of AI, arguing that despite the hype, building valuable AI products is challenging. She covers the rapid advancement in AI capabilities like reasoning and multimodality, the increasingly competitive model market, and provides a playbook for building successful applications, using "Cursor for X" as a framework. The key takeaway is that defensibility in AI comes from superior execution and deep workflow integration, not just the underlying model.