Matt Bornstein

Martin Casado, General Partner at Andreessen Horowitz, dives into how AI is shaping the future of software development. Joined by Jennifer Li and Matt Bornstein, they explore AI as a potential fourth pillar of infrastructure, alongside compute and storage. The discussion includes the rise of low-code tools, the changing dynamics for technical users, and the balance between AI innovation and professional coding expertise. They also touch on the complex interplay of model training, synthetic data, and market phases driving investment strategies in this evolving landscape.

Guido Appenzeller, a General Partner at a16z, along with partners Matt Bornstein and Yoko Li, tackle the hot topic of AI agents. They discuss the varying definitions and complexities surrounding these agents, questioning if they are merely enhanced LLMs or something more. The conversation dives into how AI agents are reshaping workplace productivity and the intricate challenges of pricing and integrating them into existing workflows. Ultimately, they envision a future where AI agents are as essential as electricity, transforming our daily lives.

Scott Clark, Cofounder and CEO of Distributional, and Matt Bornstein, a Partner at a16z, discuss the pivotal role of trust in AI systems, moving beyond just performance metrics. They delve into the hidden complexities of generative AI behaviors and the critical need for robust evaluation frameworks. Topics include the pitfalls of traditional testing methods, the rise of 'shadow AI,' and practical strategies for scaling AI from prototypes to real-world applications. Their insights shed light on managing reliability and addressing the challenges of enterprise AI adoption.

Guido Appenzeller, an Infra partner at a16z and a computer science expert, joins fellow partner Matt Bornstein, an AI application specialist, to explore how generative AI is revolutionizing software development. They discuss the rise of 'prompt-based programming' and its impact on developer productivity. The duo delves into the permanence of formal programming languages amidst AI advancements and the complexities of integrating AI into enterprise systems. They also touch on how these changes will reshape coding education and the future landscape of technology.

In this discussion, guests Nathan Lambert, a machine learning researcher at Hugging Face, and Matt Bornstein from a16z, share insights on the revolutionary Llama 2 model. They explore its technical advancements, including improved context length and its arrival as a strong competitor in the open LLM landscape. Ethical concerns surrounding open-source AI, data sourcing, and user privacy come into play. The conversation highlights the potential for democratizing AI and the importance of having control over sensitive data, pivotal for businesses and organizations.