Welcome to a special episode exploring June 2025, a true watershed moment in AI development. We'll dive into groundbreaking announcements like the official confirmation of GPT-5, revolutionary AI coding assistants, and milestones in healthcare AI. Join us to understand how these unprecedented advancements are reshaping technology and daily life.
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17:58
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17:58
Context Engineering
In this episode, we unpack Context Engineering, the cutting-edge approach that's being hailed as 10x better than prompt engineering and 100x better than vibe coding for developing robust LLM applications. We'll explore why this developer-facing system design, endorsed by figures like Andrej Karpathy and Tobi Lütke, is replacing the "clever one-liner" prompts and intuitive "vibe coding" of the past. Discover how providing all the necessary context for an LLM to plausibly solve a task is fundamentally changing AI software architecture.
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11:45
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11:45
Becoming an AI-First Company: A Strategic Guide - BOX White paper
Welcome to the show! In this episode, we explore the transformative journey of becoming an AI-first company, moving beyond mere automation to a complete reimagination of how businesses operate and create value. We'll discuss how AI serves as a catalyst for new capabilities, enabling human-AI partnerships that unlock unprecedented productivity and innovation. Join us as we uncover the principles, common pitfalls, and actionable steps for successfully navigating this defining era of business transformation.
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17:51
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17:51
Software's Evolution: From Code to AI Operating Systems - Andrej Karpathy
Andrej Karpathy's presentation explores the evolving landscape of software development, introducing the concepts of Software 1.0 (traditional code), Software 2.0 (neural network weights), and the emerging Software 3.0 (Large Language Models or LLMs programmed via natural language prompts). He analogizes LLMs to new operating systems or utilities, emphasizing their unique characteristics, such as human-like psychology with both superhuman capabilities and cognitive deficits like hallucination and memory limitations. Karpathy discusses the opportunities for building "partial autonomy apps" that allow humans to verify AI-generated work efficiently, and he highlights the revolutionary aspect of natural language programming enabling wider participation in software creation. Finally, he proposes adapting existing digital infrastructure, including documentation and user interfaces, to be more "agent-friendly" for a future where AI agents play an increasingly significant role.
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17:47
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17:47
The Agent Development Life Cycle
Tune into this episode as we explore Sierra's innovative Agent Development Life Cycle (ADLC), a robust process for building and continuously improving AI agents for businesses. Discover how they tackle the unique challenges of Large Language Models (LLMs) to create powerful conversational experiences, from customer service to sales. Learn how companies like Chubbies and SiriusXM leverage these agents to redefine customer interaction and achieve continuous improvement.
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