Jun 26, 2026

How Warp Went From YC to a $60M Series B

Warp founder & CEO Ayush Sharma discusses building an AI-native employee management platform in a competitive market, detailing how "unsexy" payroll problems became a powerful wedge and why AI fundamentally shifts enterprise software development. He explains what "AI-native" means for product architecture and company structure, the advantage it gives technical founders, and Warp's vision for "systems of intelligence" to empower customers with AI agents for complex HR workflows.

Jun 26, 2026

Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI

Paul Iusztin and Louis-Francois Bouchard unveil their AI Research OS, a powerful system that transforms notes, documents, videos, and code repositories into a dynamic, personalized memory for AI agents. They detail a three-layered architecture (raw files, index, wiki) that efficiently manages context and enables continuous learning and evolution, addressing the limitations of static research and generic AI tools.

Jun 25, 2026

Full Stack Greenfield Projects : Are they still relevant?

Bharat Goenka, co-founder of Tally, discusses the company's unconventional approach to software development through "Full Stack Greenfield" projects. He explains why building every component from scratch, despite being a high-risk strategy, has been crucial for Tally's success in serving the SMB market, fostering extreme customer loyalty, and aspiring to connect 200 million businesses. The talk delves into the historical context, the philosophy of questioning and choosing constraints, and the distinction between product and custom engineering.

Jun 25, 2026

The Miranda Hypothesis: How Hamilton Poisoned Persona Evals - Jacob E. Thomas, Results Gen

This talk exposes "Miranda distortion," a critical flaw in AI personas where models, influenced by modern cultural narratives, produce convincing but anachronistic outputs. Current evaluations fail to detect this, prioritizing fluency over fidelity. The speaker proposes "epistemic simulation"—a new paradigm grounded in corpus-bounded, temporally-anchored, and expert-evaluated reasoning—and introduces the "Prism Experiment." This rigorous, pre-registered protocol uses Abraham Lincoln to demonstrate how a weighted rubric, created by historians and de-emphasizing rhetorical fluency, can detect anachronism. It advocates for the "humanist in the loop" as a technical requirement to ensure AI personas are true to their documentary records, not just convincing.

Jun 25, 2026

Zynga Founder: Consumer Is Not Investible Right Now - Thats Why You Should Build It

Mark Pincus, founder of Zynga, discusses the product philosophy behind "Life at the Speed of Play," focusing on consumer innovation in the AI age. He introduces the "Proven, Better, New" framework, shares insights on founder mode, and predicts a future where "intelligence on tap" driven by free AI compute will unlock unprecedented opportunities for new "internet treasures," despite current investor skepticism in the consumer space.

Jun 24, 2026

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Dan Biderman and Jessy Lin of Engram introduce their "always training" paradigm, focusing on baking a team's knowledge directly into a model's weights to achieve true memory and continual learning. This contrarian approach, which they call a "RAG killer" for specific use cases, promises up to 100x token savings and superior performance by internalizing context rather than relying on ever-larger context windows or external retrieval, envisioning a future where everyone has their own continually learning, personalized AI model.