Jul 28, 2026

OpenAI’s Plan to Make ChatGPT the Everything App — Akshay Nathan, OpenAI

Akshay Nathan, head of Core Product Engineering at OpenAI, discusses the journey and rationale behind ChatGPT Work. He explains how Codex's unexpected adoption by non-developers led to a unified agent harness, blurring the lines between developer and knowledge worker tools. The conversation delves into model capabilities, the role of artifacts and interactive 'Sites' in replacing traditional documents, and how AI fosters a new era of 'T-shaped' generalists. Nathan emphasizes the shift in productivity bottlenecks to 'ideas and taste' and the importance of 'quality at-bats' over mere 'motion' in an AI-powered development landscape.

Jul 16, 2026

Imagination Engineering — Eve Bouffard, Head of Design, Y Combinator

Eve Bouffard of Y Combinator introduces "Imagination Engineering," arguing that powerful AI shifts the human challenge from execution to ideation. She showcases personal experiments like an AI-generated website from her public thoughts, a tool visualizing historical geniuses, and custom productivity aids. Bouffard highlights AI's role as a "rocket ship for the mind," enabling rapid learning and software creation on demand.

Jul 13, 2026

The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO

Engram co-founder Dan Biderman discusses building AI that learns from users, critiquing long context, RAG, and compaction's limitations. He introduces Engram's approach of compressing knowledge into "cartridges" and model weights via continual learning and gradient-based updates, aiming for "intuition" over retrieval. The vision extends to personal, "Tamagotchi" AI models and addresses the critical need for token efficiency and "doing more with less" in both enterprise and personal AI.

Apr 08, 2026

Cognitive Exhaust Fumes, or: Read-Only AI Is Underrated — Šimon Podhajský, Head of AI, Waypoint

A deep dive into a "read-only" personal AI system that analyzes your digital footprint—or "cognitive exhaust fumes"—from sources like email, notes, and browsing history. The author argues that this observer approach provides more profound insights and is inherently safer than action-oriented AI agents, by preventing data contamination and mitigating the high-stakes risks of write-access errors.

Aug 14, 2025

From NotebookLM to Audio Companions: Why Google’s AI Team Went Startup

Raiza Martin, co-founder of Huxe and former leader of Google’s NotebookLM team, discusses the move from the text-based, source-grounded world of NotebookLM to building Huxe, an audio-first, mobile-first personal AI companion designed to create delightful and useful experiences in the interstitial moments of a user's day.