Dec 16, 2025

Context Engineering 2.0

Simba Khadder explains the evolution of feature stores and MLOps, detailing why they remain crucial in the age of LLMs for high-scale use cases. He discusses the acquisition of his company, Featureform, by Redis and outlines their new vision: building a "Context Engine" for AI. This engine aims to unify structured data, unstructured data, and memory into a single pane of glass, moving beyond simple RAG to a more sophisticated "Context Engineering 2.0" that empowers agents with rich, queryable context.

Dec 16, 2025

949: Why AI Keeps Failing Society, with Stanford professor — with Alex “Sandy” Pentland

Professor Alex 'Sandy' Pentland discusses his new book, *Shared Wisdom*, and the critical risks AI poses to society. He draws parallels between the AI-driven collapse of the Soviet Union and today's challenges, arguing that AI systems fail due to poor models of society, not poor algorithms. Pentland introduces solutions like 'loyal agents' that serve individuals, 'data unions' to rebalance power, and new governance models based on open audit trails to ensure AI operates fairly and safely on a global scale.

Dec 14, 2025

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, the product decisions that led to its explosive 20x growth, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed.

Dec 14, 2025

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, not just a tool. He covers the product decisions that led to Codex's 20x growth, how it enabled shipping the Sora Android app in 18 days, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed and interaction.

Dec 14, 2025

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, shares the vision of AI as a software engineering teammate, not just a tool. He explains how a strategic shift to a local, interactive experience unlocked 20x growth, details how the Sora Android app was built in 28 days, and argues that the real bottleneck to AGI-level productivity is now human review speed, not model capability.

Dec 06, 2025

2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding

Steve Yegge and Gene Kim discuss the current limitations of AI coding assistants, predicting a shift from simple code completion "power tools" to sophisticated, agent-based "CNC machines" that will automate the entire software development lifecycle. They explore the cultural resistance from senior engineers, the transformative impact on team structures, and the emergence of "Vibe Coding" as a new paradigm that will reshape technology organizations.