Episode Summary
Executive Summary: This episode promotes the upcoming AI Engineer World's Fair while recapping the origin and growth of the AI Engineer Summit. The hosts and Microsoft’s Sam Schillace discuss why vendor-neutral, in-person events matter, how AI engineering is shifting from research to production, and how code plus LLMs should be combined: think with the model, plan with code. They also cover Microsoft’s broad AI portfolio and Schillace’s hands-on philosophy for building in a fast-moving field.
Main Topics: Origin and growth of AI Engineer Summit: The hosts explain how the AI Engineer Summit emerged from early conversations in 2023 and became a major gathering for AI builders, with strong in-person and online attendance. Vendor-neutral conference philosophy: A major theme is why the event is intentionally vendor-neutral: to improve content quality, broaden the audience, and create a community-driven industry conference rather than a company showcase. AI Engineer World's Fair as a larger expo-style event: The new World's Fair is framed as a bigger, more ambitious in-person expo inspired by historical world's fairs, meant to showcase AI progress, foster networking, and slow down the online news cycle. Sam Schillace’s AI experience and Microsoft perspective: Schillace shares his early GPT-4 reactions, his work on Semantic Kernel, and how Microsoft is organizing AI efforts across research, product, and developer tooling. How to build with LLMs: code and semantics: Schillace argues that models are best used for thinking and semantic generation, while code should handle planning, orchestration, and reliable execution in longer-running systems. Multimodality, agents, and the limits of current systems: The conversation touches on multimodal models, agentic systems, memory, stochasticity, and why current autonomous systems can get stuck or drift without strong code scaffolding. Microsoft’s AI portfolio and leadership style: Schillace describes Microsoft as spanning research, infrastructure, and product surfaces, and emphasizes Satya Nadella’s unusually hands-on leadership and the company’s all-in AI posture.
Key Arguments: Vendor-neutral events attract a broader, more technical audience and produce better content than company-owned conferences. The AI Engineer Summit succeeded because it captured a real emerging industry and gave it a place to congregate. The World's Fair format is meant to create an in-person, expo-like environment that supports deeper conversations and community building. GPT-4 felt like a category shift: from syntax-heavy computing to semantics-heavy interaction. LLMs are better at thinking than planning; code should provide the exoskeleton that makes AI systems reliable. Long-running agent systems are vulnerable to stochastic noise, memory issues, and feedback loops, so orchestration must be explicit. Microsoft’s AI strategy spans research, developer tools, cloud infrastructure, and end-user products, making it both a platform and a consumer-facing AI company. Hands-on experimentation is essential for leaders; opinions about AI are not enough without building and breaking things directly.
Data Points: AI Engineer Summit in-person applications: over 5,000 - Number of people who applied to attend the first summit in person. AI Engineer Summit online attendance: over 9,000 - Total online attendees for the summit. Live stream audience: over 20,000 - People who watched the summit live stream. In-person attendance accepted: about 400 - Approximate number of attendees admitted in person. Event duration: two days, two and a half days with a welcome reception - Length and structure of the original summit. World's Fair tracks: 9 - Number of tracks announced for the AI Engineer World's Fair. Talks and workshops: over 100 - Total sessions planned across the nine tracks. Microsoft startup credits: up to $150,000 over four years - Founders Hub credits mentioned as support for startups. Startup entry cost: about $2,500 - Approximate low-cost starting point mentioned for Microsoft startup support. CFP deadline: April 8 - Deadline for speaking proposals at the World's Fair. Event dates: June 25, 26, and 27 - Dates for the AI Engineer World's Fair in San Francisco.
Pivotal Quotes: "Think with the model, plan with code." — Sam Schillace: His core framework for combining LLMs with deterministic software orchestration. "This is really like the beginning, it's the beginning of V2 of the computer industry completely." — Sam Schillace: His reaction to GPT-4 as a category-shifting technology. "If you want the truly internet community, if you want a more varied audience and, frankly, better content for, especially for a technical audience, you want a vendor-neutral event." — Ben Dunphy: Why the conference is intentionally not owned by a single company.
Implications: The episode signals that AI engineering is maturing into a real industry with its own flagship gatherings, tooling patterns, and leadership practices. For builders, the message is to combine LLM reasoning with robust code, and for companies, to engage hands-on rather than from the sidelines.
About Latent Space: The AI Engineer Podcast
The podcast by and for AI Engineers! In 2025, over 10 million readers and listeners came to Latent Space to hear about news, papers and interviews in Software 3.0. We cover Foundation Models changing every domain in Code Generation, Multimodality, AI Agents, GPU Infra and more, directly from the founders, builders, and thinkers involved in pushing the cutting edge. Striving to give you both the definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, Anthropic, Gemini, Meta (Soumith Chintala), Sierra (Bret Taylor), tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al. Full show notes always on https://latent.space
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