Experts discuss an OpenAI paper that reframes hallucinations as a feature driven by training incentives, not just a bug. The panel also revisits Dario Amodei's prediction on AI coding, explores AI's chaotic impact on the job market, and imagines the future of running LLMs on business-card-sized devices.
A conversation with C++ expert Patrice Roy, author of 'Memory Management in C++', exploring the core principles of modern memory management. The discussion covers the pitfalls of over-allocation, the nuanced use of smart pointers, the importance of measurement before optimization, and when to consider custom allocators for peak performance.
Jay Alammar, Director at Cohere, discusses the practical adoption of Large Language Models in the enterprise. He covers the evolution of Retrieval-Augmented Generation (RAG) from a simple anti-hallucination tool to complex, agentic systems, the critical role of evaluation as intellectual property, and future trends like text diffusion and the increasing capability of smaller models for specialized business tasks.
Co-founder David shares Recall.ai's journey from a YC hackathon project to the essential data infrastructure for over 1,000 AI companies. He covers their strategic pivot to an API, the fundraising grind, and the lessons learned in building a lean, high-agency team that powers the future of AI with conversation data.
Birgitta Böckeler from Thoughtworks provides a comprehensive overview of the current AI tooling landscape for software delivery. The talk focuses on the architecture and capabilities of modern coding assistants, differentiating between the underlying model and the crucial role of tooling in providing context. It explores what works today, the promising but challenging frontiers like testing and refactoring, and offers a practical guide to the major tools in the ecosystem.
The founders of Motion discuss their journey from lucrative seven-figure trading jobs to building a work management platform. They detail a critical pivot away from a successful $20M ARR consumer product to a B2B suite, and their current strategy of embedding "AI employees" directly into workflows, leveraging proprietary data and a unified human-AI task management system.