Tiny Recursive Networks - Neural networks - Practical AI

Topics in this episode

Neural networks Computer vision Artificial intelligence Machine Learning Deep Learning changelog

Episode notes

In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots. Featuring: Chris Benson - Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack - Website , GitHub , X Links: Less is More: Recursive Reasoning with Tiny Networks Researchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events’ Sponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows - all in one global collaboration layer. Start building at AGNTCY.org . Fabi.ai - The all-in-one data analysis platform for modern teams.