Ai agents

Turbocharge Your Agent's Retrieval with TurboQuant - Shashi Jagtap, Superagentic AI

Turbocharge Your Agent's Retrieval with TurboQuant - Shashi Jagtap, Superagentic AI

This talk introduces TurboQuant, a training-free compression method from Google Research that reduces embedding memory footprint by 5x (from 32-bit to 3-4 bits) without losing search quality. It details how TurboQuant works through scalar quantization and a crucial one-bit error correction step, QJL, enabling agents to remember more on existing hardware by optimizing both KV cache and RAG vector stores. A live demo showcases its effectiveness, making it a vendor-neutral solution for efficient AI agent retrieval.

OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

Andrew Ambrosino, Product and Engineering Lead for the Codex app at OpenAI, details how AI is transforming product development, shifting focus from implementation to curation and the crucial role of "taste." He discusses AI's current limitations in design, the evolving nature of product roles, and OpenAI's "zone defense" approach to product management. Ambrosino shares his personal workflow with Codex and outlines the vision for it as an intelligent "home base" that orchestrates work across various applications, exemplified by a story of Codex building a Premiere Pro extension.

The Promptware Kill Chain: How Prompt Injection Becomes AI Malware

The Promptware Kill Chain: How Prompt Injection Becomes AI Malware

Promptware introduces a new class of AI malware leveraging prompt injections to exploit architectural flaws in LLMs. This summary details The Promptware Kill Chain, covering stages from initial access and jailbreaking to persistence, lateral movement, and real-world impact. It emphasizes the critical need for a Zero Trust approach, treating AI agents as hostile runtimes to defend against these sophisticated AI-native threats.

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

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.

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

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.

⚡️Every product of the future will be a living system  — Ronak Malde, Trajectory.ai

⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai

Ronuk Malde, CEO of Trajectory.ai, discusses his journey from building AI coding agents at Windsurf to his current focus on continual learning for enterprise AI. He shares insights on leveraging real-world user data, the unique challenges of model acquisition, and how Trajectory.ai's platform, powered by innovations like scaled SDPO and a novel training stack, enables dynamic, always-learning AI models for diverse industries from legal to finance.