A deep dive into ReactJS security, this presentation reframes the discussion around leveraging AI for secure code generation. It argues that by creating detailed, specific security prompts, developers can train AI to be an expert security coder, transforming it from a flawed tool into a powerful ally for building robust and secure applications.
OpenAI's Head of Education, Leah Belsky, and students Yabsera and Alaap discuss how AI, particularly ChatGPT and its new Study Mode, is transforming education. They cover global adoption, the shift from policing AI to integrating it, its role as a personal tutor for building confidence and skills, and the evolving nature of learning, work, and critical thinking in the age of AI.
![[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)](https://img.youtube.com/vi/jxrGodnopHo/maxresdefault.jpg)
This workshop, led by former Google product directors, introduces a methodology for building reliable and tunable evaluation metrics for LLM applications. It details how to create granular 'scoring systems' that break down complex evaluations into simple, objective signals, and then use these systems for model comparison, prompt optimization, and online reinforcement learning.
Technologist Balaji Srinivasan joins a16z's Erik Torenberg and Martin Casado to discuss the limitations and societal impact of AI, framing the conversation around the concept of "Polytheistic AGI"—multiple, culturally-specific AIs—versus a singular, god-like intelligence. They explore the practical system-level constraints on AI, its surprising evolution, the critical role of cryptography in grounding AI in reality, and the future of work and security in an AI-driven world.
Shreya Shankar of UC Berkeley discusses DocETL, a MapReduce-style framework that leverages LLMs to extract, analyze, and structure insights from unstructured enterprise data. The conversation covers practical architecture patterns, the role of non-determinism, strategies for model selection (including fine-tuning and multi-LLM pipelines), and the importance of user experience in this emerging field.