Apr 15, 2026

Why Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve

Wayve CEO Alex Kendall discusses their contrarian, AI-first approach to autonomous driving. He explains their journey from a garage prototype using reinforcement learning to developing a generalizable AI driver that has driven zero-shot in over 500 cities. Kendall emphasizes a strategy focused on licensing this embodied AI for mass-market consumer vehicles—a 100-million-unit-per-year opportunity—rather than building bespoke robotaxis, arguing that the future is an AI that can drive any car, anywhere.

Apr 15, 2026

From Renting Machines by the Hour to Renting Capabilities by the MSeconds • Dhaval Nagar • GOTO 2025

Dhaval Nagar chronicles the evolution of cloud economics from hourly-billed virtual machines a decade ago to the current 'capability economy.' The talk is structured in three acts, detailing the journey from the initial launch of AWS Lambda, through the maturation of the serverless ecosystem with frameworks and new platforms, to the present day where complex capabilities like AI models are consumed as millisecond-metered APIs. This shift demands a new developer mindset focused on composing services, event-driven architecture, and eliminating infrastructure management.

Apr 14, 2026

Enter the Matrix • Conor Hoekstra • YOW! 2025

Conor Hoekstra demonstrates how to achieve exponential productivity by combining AI-assisted development, array programming, and high-performance computing. Using a financial dashboard app built entirely with AI (Vibe Coding), he showcases a custom array-based DSL with a dual backend (interpreted BQN and compiled NVIDIA Parrot for GPUs), urging developers to fully embrace modern tools and elevate their expectations of what is possible.

Apr 10, 2026

Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI

This workshop by Mahmoud Mabrouk, CEO of Agenta AI, delves into building calibrated LLM-as-a-judge evaluations that reliably align with human judgment. It highlights how miscalibrated judges lead to false confidence and presents a practical workflow, including designing use-case specific metrics, detailed data annotation, and optimizing judge prompts using the GAPA algorithm. The talk emphasizes the importance of iterative debugging, model selection, and custom reflection templates for achieving trustworthy and effective LLM evaluations.

Apr 09, 2026

Ideas: Steering AI toward the work future we want

Microsoft researchers unpack the New Future of Work Report 2025, exploring AI's real-world impact. They discuss adoption trends, the shift in job tasks, and the crucial distinction between viewing AI as a simple tool versus a collaborator. The conversation emphasizes moving beyond pure efficiency to consciously design a future where AI supports human flourishing and meaningful work.

Apr 09, 2026

Building Agentic Applications with Spring AI • Matthew Meckes • GOTO 2025

Matthew Meckes from AWS makes a compelling case for Java's central role in the future of enterprise AI. This talk explores how Spring AI empowers developers to build robust, production-ready agentic applications by integrating LLMs with existing Java services, moving beyond proofs-of-concept to solve real-world business problems.