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Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Jim and I discuss his reverse engineering approach to visual intelligence, using deep models optimized to perform object recognition tasks. We talk about the...
Support the show to get full episodes and join the Discord community. Check out my short video series about what's missing in AI and...
We made it to the last bit of our 100th episode celebration. These have been super fun for me, and I hope you’ve enjoyed...