AI + a16z

a16z
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97 snips
Jul 25, 2025 • 27min

How to Vibe Code Securely

Feross Aboukhadijeh, Founder and CEO of Socket, dives into the transformative role of AI in software engineering. He discusses the concept of 'Vibe Coding' and how it reshapes workflows while highlighting security considerations. Feross emphasizes the importance of vetting code and maintaining a safe supply chain to prevent vulnerabilities, even as AI tools boost productivity. He also explores the balance between human oversight and automated systems in enhancing cybersecurity, reminding developers of the essential practices to ensure safe coding.
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157 snips
Jul 18, 2025 • 43min

AI Is Upending SaaS Pricing

In this conversation with Martin Casado, Scott Woody, CEO and co-founder of Metronome and former monetization lead at Dropbox, discusses how AI is revolutionizing SaaS pricing. They delve into the shift from user-based value to output-based models, redefining monetization. Woody shares insights on the growing demand for usage-based billing and the complexities it entails, as well as strategic advice for SaaS founders in navigating these changes. This dialogue uncovers essential dynamics for thriving in an AI-driven landscape.
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186 snips
Jul 11, 2025 • 46min

The AI Infrastructure Stack with Jennifer Li

Jennifer Li, General Partner at a16z, is passionate about the transformational power of AI infrastructure. She dives into the shifting landscape where AI reshapes software stacks, creating a demand for innovative middleware. The conversation touches on the critical components for AI workloads, the evolution of B2B SaaS tools, and the importance of comprehensive systems supporting AI applications. Jennifer also discusses the intricate relationship between AI agents and APIs, illustrating how improved technology enhances user experiences across industries.
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129 snips
Jun 27, 2025 • 47min

AI's Unsung Hero: Data Labeling and Expert Evals

Manu Sharma, CEO of Labelbox and an expert in data labeling for AI, joins to discuss the evolution of data labeling from supervised learning to advanced reinforcement learning. He highlights how the shift to foundation models and generative AI has transformed the industry, emphasizing the emerging role of 'aligners'—top professionals who ensure high-quality training data. Manu also touches on the competitive landscape of AI, particularly the impact of recent acquisitions like Meta's purchase of Scale AI, underscoring the growing importance of data and talent in the AGI race.
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308 snips
Jun 20, 2025 • 35min

AI, Data Engineering, and the Modern Data Stack

Tristan Handy, co-founder and CEO of dbt Labs, dives into the evolving world of data engineering alongside Jennifer Li and Matt Bornstein. They discuss the pivotal role of AI in enhancing data workflows, stressing the importance of human oversight in validating outputs. Handy highlights the transformative power of automation and tools like SQL compilers in reshaping engineering tasks. They also touch on recent industry acquisitions and the future implications for data architecture, blending operational and analytical workloads.
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104 snips
Jun 13, 2025 • 26min

Enabling Agents and Battling Bots on an AI-Centric Web

David Mytton, CEO of Arcjet, dives into the complexities of web access and bot detection. He discusses the growing need for advanced security measures in an AI-driven landscape, where distinguishing between beneficial bots and malicious ones is crucial. Mytton emphasizes the importance of low-latency, full-context security checks for effective fraud prevention. The conversation also highlights innovative methods for managing automated traffic and the evolving role of AI agents in the digital environment.
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204 snips
Jun 6, 2025 • 36min

Giving New Life to Unstructured Data with LLMs and Agents

Anant Bhardwaj, Founder and CEO of Instabase, specializes in automating the management of unstructured data. In this engaging discussion, he delves into how large language models (LLMs) are transforming the processing of unstructured documents, enabling innovations like identity verification via WhatsApp. Bhardwaj shares insights on the limitations of traditional robotic process automation and the significance of predictability in AI solutions. He envisions a future where AI agents autonomously handle complex workflows, reshaping enterprise automation.
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54 snips
May 30, 2025 • 1h 42min

Beyond Leaderboards: LMArena’s Mission to Make AI Reliable

Anastasios N. Angelopoulos, a UC Berkeley professor and AI researcher, along with LMArena cofounders Wei-Lin Chiang and Ion Stoica, delve into innovative AI evaluation methods. They discuss transitioning from static benchmarks to dynamic user feedback for better model reliability. Fresh data and community engagement are emphasized as essential for AI development. The conversation highlights personalized leaderboards, real-time testing challenges, and the importance of scaling their platform to meet diverse user needs and preferences, all while fostering an inclusive approach to AI.
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404 snips
May 23, 2025 • 48min

Building AI Systems You Can Trust

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.
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264 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.

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