The Data Exchange with Ben Lorica

Ben Lorica
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Aug 7, 2025 • 42min

The AI-Native Notebook That Thinks Like a Spreadsheet

In this engaging discussion, Akshay Agrawal, founder and CEO of Marimo and former TensorFlow engineer, dives into the revolutionary features of Marimo, an open-source reactive notebook aimed at enhancing Python coding. He explores how AI integration provides runtime context for improved code generation, facilitating diverse applications from cybersecurity to DevOps. Akshay also highlights the unique capabilities of Marimo compared to traditional notebooks and the importance of live coding in data analysis, all while addressing the evolving landscape of user needs in data platforms.
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8 snips
Jul 31, 2025 • 40min

How Agentic AI is Transforming Wall Street

Josh Pantony, CEO of Boosted AI, discusses the groundbreaking possibilities of agentic AI in finance. He highlights Alpha, a platform that turns AI into proactive workers for finance professionals, significantly enhancing productivity. The conversation delves into the challenges of maintaining auditability and the importance of balancing speed with quality in AI responses. Pantony also emphasizes the shift toward multimedia consumption of financial information among younger generations, showcasing how AI can revolutionize data analysis and market insights.
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Jul 24, 2025 • 46min

The Quantum Advantage Is Real—But Where's the Infrastructure?

Jennifer Prendki, a former DeepMind expert in AI and quantum computing, shares insights on the current landscape of quantum technology. She highlights the rise of specialized quantum accelerators designed for AI in sectors like finance and pharma. The main challenge isn’t just hardware, but the need for innovative software solutions due to fundamental principles like the no-cloning theorem. Prendki emphasizes the importance of integrating quantum data with classical systems and discusses how quantum computing could revolutionize machine learning and data analysis.
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10 snips
Jul 17, 2025 • 38min

From Human-Readable to Machine-Usable: The New API Stack

Sagar Batchu, CEO of Speakeasy, dives into the revolution in API development, emphasizing the shift as AI agents become primary users. He discusses 'vibe coding' for creating adaptable APIs and the challenges of managing multiple APIs. The conversation touches on enhancing AI integration and the significance of tools like Speakeasy in simplifying API interactions. Batchu highlights the importance of multi-cloud platforms and robust security measures, alongside innovations in user experience designed for both technical and non-technical users.
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Jul 10, 2025 • 42min

Why Voice Security Is Your Next Big Problem

Yishay Carmiel and Roy Zanbel, co-founders of Apollo Defend, dive into the rapidly evolving landscape of voice AI security. They discuss the alarming implications of voice cloning technology, emphasizing its potential misuse and the urgent need for protective measures. The conversation highlights advancements in human-like speech generation and the complexities of defending against deepfake audio attacks. With voice agents proliferating in customer service, they stress the necessity of robust security measures to safeguard personal authenticity and data privacy.
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35 snips
Jul 3, 2025 • 28min

Unlocking Unstructured Data with LLMs

Shreya Shankar, a PhD student in EECS at UC Berkeley, dives into how Large Language Models (LLMs) are changing the game for unstructured enterprise data. She explains her innovative framework, DocETL, which streamlines semantic extraction and thematic analysis of text and PDFs. The conversation touches on the practical challenges of data extraction and the evolution towards multimodal processing with tools like DocWrangler. Shreya also highlights the importance of aligning user intent with model capabilities for better user experiences.
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16 snips
Jun 26, 2025 • 31min

Building Production-Grade RAG at Scale

Douwe Kiela, Founder and CEO of Contextual AI and an adjunct professor at Stanford, delves into the relevance of Retrieval-Augmented Generation (RAG) amidst evolving AI contexts. He explains the shift to RAG 2.0, emphasizing its potential as an end-to-end trainable system. The conversation highlights the challenges of document understanding, the importance of structured information in extraction, and how hybrid retrieval methods can streamline data access. Douwe also speculates on future advancements in model fine-tuning, emphasizing the need for expert feedback and open-source contributions.
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17 snips
Jun 19, 2025 • 45min

Unlocking AI Superpowers in Your Terminal

Zach Lloyd, Founder and CEO of Warp, discusses how his innovative terminal combines AI and developer insights to enhance productivity. He highlights the evolution of command-line interfaces, emphasizing the efficiency of terminal environments over graphical interfaces. The conversation delves into AI’s role in improving workflows and the collaborative capabilities of Warp Drive. Lloyd also addresses the needs of diverse software developers and advocates for AI tools as enhancements, not replacements, in software engineering, underscoring their potential for early-career developers.
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52 snips
Jun 12, 2025 • 51min

From Vibe Coding to Autonomous Agents

Jackie Brosamer, Head of AI and Data Platform at Block, and Brad Axen, Tech Lead for AI and Data Platform, dive into Codename Goose—a pioneering open-source AI agent designed to automate complex engineering tasks. They discuss its flexible integration and how large language models are reshaping engineering workflows. The duo addresses the challenges of autonomous agents in context management and output validation. They also explore 'vibe coding,' the evolving role of developers, and the generational shifts in adapting to these transformative technologies.
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Jun 5, 2025 • 49min

How a Public-Benefit Startup Plans to Make Open Source the Default for Serious AI

Manos Koukoumidis, CEO of Oumi Labs and former tech lead at Microsoft, Meta, and Google, shares his vision for unconditionally open foundation models in AI. He argues for transparency in data, code, and processes as essential for trustworthy technology. Discussions include the evolution of community-driven AI similar to Linux, the importance of a robust evaluation system in open-source contributions, and the innovative Halloumi tool for verifying AI claims. Manos emphasizes balancing innovation with safety as a pathway to reliable and accessible AI.

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