YC and Together AI have partnered to launch the first dedicated YC GPU cluster, addressing the critical compute bottleneck faced by AI-native startups. This initiative provides flexible, cost-effective access to GPU resources, enabling companies from early-stage research to major players to train, fine-tune, and run inference on AI models, and mitigating the financial strain of long-term compute commitments.
Elizabeth Stone, Netflix CPTO, discusses how AI is transforming product development and company culture. She highlights the increasing importance of "systems thinking," managing the influx of AI-generated output with clear guardrails, fostering "AI fluency" across all roles, and maintaining Netflix's unique "excellence as an operating system" through high talent density and a comfort with risk-taking. The conversation also explores AI's impact on content creation, the future of entertainment, and talent management.
Benoit Schillings, VP of Technology at Google DeepMind, explores the evolution of AI's role in software development, highlighting the transition from human-limited coding to an AI frontier where syntax generation is solved. He delves into the power of self-play for model training, the shifting economics of software engineering, and the imperative for active guardrails. Schillings also discusses the need for inductive architecture, advanced model planning, multimodal reasoning (as seen in Gemini), and the potential for AI to drive scientific breakthroughs in fields like chemistry and biology by uncovering patterns imperceptible to human bias.
A Q&A with Anthropic's Cat Wu and Thariq Shihipar on how Claude Code and agentic AI are fundamentally changing software development, from workflow shifts and engineering norms to safety, model trust, and team collaboration. The discussion covers the rapid evolution of coding agents, the rise of proactive agents like Claude Tag, new approaches to code review and system prompt optimization, and Anthropic's robust safety measures including Auto Mode.
Avoca (YC W23) has achieved eight-figure revenue and a $1 billion valuation by building an AI workforce for home services, turning missed calls into revenue. Founders Apurva Shrivastava and Tyson Chen explain how AI expands software's market share beyond 1% by automating labor and operational costs, leading to a 15x larger opportunity. They emphasize that their AI agents augment human workers, reducing attrition in challenging CSR roles and creating new positions for training AI, driven by a deep customer obsession learned at YC.
Andrew Ambrosino, Product and Engineering Lead for the Codex app at OpenAI, details how AI is transforming product development, shifting focus from implementation to curation and the crucial role of "taste." He discusses AI's current limitations in design, the evolving nature of product roles, and OpenAI's "zone defense" approach to product management. Ambrosino shares his personal workflow with Codex and outlines the vision for it as an intelligent "home base" that orchestrates work across various applications, exemplified by a story of Codex building a Premiere Pro extension.