

Matt Bornstein
Infra partner at a16z. Specializes in AI and its applications in various industries.
Top 3 podcasts with Matt Bornstein
Ranked by the Snipd community

143 snips
May 16, 2025 • 45min
Who's Coding Now? AI and the Future of Software Development
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.

51 snips
Jul 19, 2023 • 1h 20min
Llama 2: The New Open LLM SOTA (ft. Nathan Lambert, Matt Bornstein, Anton Troynikov, Russell Kaplan, Whole Mars Catalog et al.)
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.

Nov 15, 2024 • 42min
Building Developers Tools, From Docker to Diffusion Models
Ben Firshman, Co-founder and CEO of Replicate, and Matt Bornstein, Partner at Andreessen Horowitz, dive into the nuances of developer tools. They discuss the rich diversity of multimedia AI applications versus the uniformity of language model apps. Ben emphasizes the magical ability of language models to convert unstructured data into structured formats. The conversation also touches on GPU supply chain challenges and the demand for serverless solutions, illustrating the dynamic landscape of AI development and the significance of community-driven tools.