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AIPodcastsChris on AI, Autonomous Swarming, Home Automation and Rust!
Chris on AI, Autonomous Swarming, Home Automation and Rust!
AI

Practical AI

Chris on AI, Autonomous Swarming, Home Automation and Rust!

Practical AI
•November 26, 2025•1h 37m
0
Practical AI•Nov 26, 2025

Key Takeaways

  • •AI breakthroughs tied to GPU hardware evolution.
  • •Open models are narrowing gap with proprietary giants.
  • •AI agents, swarming robots enable real‑world automation.
  • •Industry focus shifts from model creation to specialized services.
  • •Emerging startups like Prometheus challenge big‑tech dominance.

Pulse Analysis

The episode opens with a rapid tour of AI’s historical cycles, emphasizing how the so‑called AI winters were less about ideas and more about missing hardware. Chris traces the pivotal role of GPUs—especially NVIDIA’s rise—and later TPUs, which finally gave neural networks the compute power to scale. This hardware‑first narrative explains why today’s breakthroughs feel inevitable, yet they rest on a decade of silicon innovation that turned theoretical models into production‑ready tools.

Transitioning to the present, the hosts argue that open‑source models are eroding the advantage once held by closed‑door labs. Hundreds of community‑driven models now rival proprietary offerings, turning model training into a commodity. Consequently, major firms are pivoting from pure model providers to specialized AI services, embedding models into agents, autonomous swarms, and home‑automation pipelines. The discussion also highlights Rust’s growing relevance for safe, high‑performance robotics code, underscoring a broader ecosystem where software, hardware, and AI converge.

Looking ahead, the conversation shifts to market dynamics. While giants like Google, Meta, and NVIDIA continue to pour capital into infrastructure, the real innovation may emerge from leaner ventures such as Jeff Bezos’s newly announced Project Prometheus. These startups, backed by massive funding but operating under the radar, illustrate a shifting balance where open ecosystems and niche applications could outpace headline‑grabbing megaprojects. For business leaders, the takeaway is clear: prioritize adaptable AI services, monitor open‑model advances, and stay alert to disruptive startups that blend hardware, robotics, and software into next‑generation solutions.

Episode Description

This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust.  Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.

Featuring: 

Jerod Santo – LinkedIn

Adam Stacoviak – LinkedIn

Chris Benson – Website, LinkedIn, Bluesky, GitHub, X

Sponsors: 

Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at Miro.com.

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Upcoming Events: 

Register for upcoming webinars here!

This week we have extended show notes below from Chris!

Swarming & Fully Autonomous Multi-Agent UxV Systems

Chris’s Definition of Swarming (anchor link in show notes)

Chris’s definition of Swarming

“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”

© 2025 Chris Benson

Conceptual Foundations

Swarm Robotics – Wikipedia

High-level overview of swarm robotics as decentralized robot collectives.

https://en.wikipedia.org/wiki/Swarm_robotics

Swarm Robotic Platforms – Wikipedia

Survey of hardware platforms used in swarm robotics research.

https://en.wikipedia.org/wiki/Swarm_robotic_platforms

Swarm Intelligence – Wikipedia

Broader algorithms and theory behind collective intelligence (beyond robots).

https://en.wikipedia.org/wiki/Swarm_intelligence

Ant Robotics – Wikipedia

Nature-inspired “ant-like” robotics as a special case of swarm robotics.

https://en.wikipedia.org/wiki/Ant_robotics

Open Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)

Programming Multiple Robots with ROS 2 (online book)

Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).

https://osrf.github.io/ros2multirobotbook

Simulation with ROS 2 & Gazebo (ROS 2 Humble tutorial)

Official tutorial on connecting ROS 2 to Gazebo simulation.

https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html

Spawning Multiple Robots in Gazebo with ROS 2

Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.

https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2

ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)

Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).

https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987

Getting Hands-On: Consumer Robotics, ROS 2 & Gazebo

ROS 2 (Robot Operating System 2)

Official ROS 2 Documentation – Humble (LTS)

Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.

https://docs.ros.org/en/humble

ROS 2 Installation Guide (Humble)

Step-by-step install on supported platforms.

https://docs.ros.org/en/humble/Installation.html

“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)

Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).

https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba

ROS 2 Tutorial for Beginners (2025 guide)

Up-to-date intro that walks you from install to simulating your first robot in 2025.

https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html

Gazebo Simulation

Gazebo Sim – Official Site

Modern Gazebo (Ignition) simulator; models, worlds, and docs.

https://gazebosim.org

Getting Started with Gazebo (Docs)

Official “start here” guide for using Gazebo and Gazebo Fuel assets.

https://gazebosim.org/docs/latest/getstarted

Classic Gazebo Tutorials (still useful for fundamentals)

https://classic.gazebosim.org/tutorials

micro-ROS (ROS 2 on Microcontrollers)

micro-ROS – ROS 2 for Microcontrollers

Official site for running ROS 2 on tiny embedded boards.

https://micro.ros.org

micro-ROS GitHub Organization

Repositories, examples, and tutor...

Show Notes

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