Sep 24, 2026

The last roadmap | Claire Vo

Claire Vo argues that AI has rendered traditional product roadmaps obsolete. With AI accelerating execution, the bottleneck has shifted from building capacity to generating meaningful ideas and fostering strong conviction. She outlines three traps (backlog, parity, churn) created by combining AI with old roadmaps, and proposes a new approach centered on durable convictions, disposable features, and a "roadmap of ambition" driven by evidence and bold experimentation rather than fixed feature lists.

Sep 24, 2026

How to build products on a moving frontier | Dan Shipper (Every)

Dan Shipper, co-founder and CEO of Every, advocates for a dedicated 'labs team' to navigate the rapid evolution of AI capabilities. He argues that traditional product development struggles with the 'moving frontier,' proposing a model where a small, experimental lab explores new AI ideas and capabilities, while the main product team focuses on scaling existing offerings. Shipper outlines how to establish and run such a lab, from team composition ('pirates' and 'architects') to rigorous experimentation, dogfooding, and a structured pipeline for integrating successful innovations into the core product, enabling continuous disruption and growth.

Sep 24, 2026

I Gave an AI a Body — Cyrus Clarke, MIT Media Lab

Cyrus Clarke, a researcher at the MIT Media Lab, connected an OpenClaw agent to a 900-pin shape display and asked it to discover its own identity rather than complete tasks. The talk covers the agent's first behaviors, the public reaction, the philosophical influences behind his approach to AI embodiment, and a closed-loop system that taught the agent a gesture-based body language that now responds faster than its language model.

Sep 24, 2026

One Operator, Many Drones: Inside Skydio's Autonomy Stack — Suchet Bargoti, Skydio

Suchet Bargoti, Skydio's Director of Inspection and Mapping, demos a fleet of docked drones orchestrated through an agentic layer, then explains how full-stack autonomy, maps as world models, edge-cloud splitting, VLM-driven tracking and the limits of end-to-end learning combine to make drones function as infrastructure.

Sep 24, 2026

Robot Demos Are Easy. Reliability Is Hard — Jason Ma, Dyna Robotics

Jason Ma, CTO of Dyna Robotics, discusses overcoming the 80-90% success rate ceiling in generalist robots for commercial viability. He details how Dyna-1 achieved a 99.4% success rate in napkin folding through a novel reward model for progress scoring, enabling scalable supervision and a human-in-the-loop active learning cycle for targeted error recovery, alongside their extensive pre-training data pyramid and robust model architecture.

Sep 24, 2026

World Models Need Causality, Not Pretty Pixels — Christopher Manning, Moonlake AI

Christopher Manning, Stanford professor and now at Moonlake AI, traces AI history from Dartmouth in 1956 and Shakey the robot through the rise of large language models. He then argues for embodied intelligence built on action-conditioned simulation, and shows how Moonlake turns a photo into a manipulable, code-based world that can close the sim-to-real gap.