Sep 25, 2026

Raise the ceiling: how to scale intent, quality, and artistry with Al | Katie Dill (Stripe)

Katie Dill from Stripe discusses how the rapid advancements in AI risk leading to "zombie UI" – generic, uncared-for digital products. She draws parallels to post-WWII architecture, highlighting the dangers of building without intentionality or a clear point of view. Dill then offers four key recommendations for developers and designers to leverage AI not just for speed, but to create original, soulful, and user-centric products: defining a strong point of view, encoding quality standards directly into AI tools, embracing meticulous editing beyond the first AI-generated draft, and actively using AI to foster new forms of creativity and unique interfaces.

Sep 25, 2026

Why LLM Recommenders Will Be AI's Biggest Consumer App — Devansh Tandon, Meta

Devansh Tandon, who leads Meta Recommendations Research, argues that recommendation systems scale like LLMs, that the field is early on that curve, and that LLM recommenders will become one of AI's biggest consumer applications. He walks through four S-curves of recommendation, a three-step recipe built on semantic IDs, and why content feeds can be up to 100x cheaper per hour of engagement than AI chat apps.

Sep 25, 2026

How to Spot Exceptional Talent Before Everyone Else

This episode introduces Cosign, a new platform designed to formalize professional reputation and endorsements within the startup community. It explores how human conviction and "cosigns" from respected individuals provide more valuable signals than traditional credentials, especially as AI makes information abundant. The discussion covers the platform's granular approach to endorsements, its aim to address the limitations of existing professional networks like LinkedIn and X, and its role in fostering talent discovery and social capital within Silicon Valley's meritocratic ecosystem.

Sep 25, 2026

Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash

Raghav Saboo, Staff ML Engineer at DoorDash, argues that semantic understanding, not engagement, is the real bottleneck in marketplace discovery. He walks through four LLM-driven primitives (graded relevance supervision, semantic IDs, multi-timescale consumer memory, and steerable personalized collections) and explains the core pattern of reasoning offline with LLMs and distilling that into fast serving models.

Sep 25, 2026

New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab

An exploration of the recent wave of AI innovations, focusing on the pervasive theme of efficiency. The episode delves into cost-reduction in new frontier models like Anthropic's Claude Opus 5.5 and OpenAI's GPT-6, the emergence of TypeSafe AI's "System One" models like Jev for high-speed, calibrated decision-making, and the groundbreaking open-source Lunar Foundation Model by NASA and IBM, showcasing AI's diverse applications beyond text generation.

Sep 25, 2026

C++26 for Lazy Programmers • Will Briggs & Todd Montgomery • GOTO 2026

Will Briggs and Todd L. Montgomery discuss the impact of AI on programming careers and language learning, the pedagogical approach of Briggs' book "C++26 for Lazy Programmers," and the evolving landscape of C++. They explore how AI requires deeper code fluency, Briggs' method for teaching complex C++ concepts like pointers, and his critiques of C++'s feature proliferation. The conversation concludes with a strong argument for C++'s enduring relevance as a foundational language for aspiring developers.