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All Episodes

Practical AI — 51 episodes

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Title
1

The Myth of Model Wars: Open vs Closed AI in 2026

2

The mythos of Mythos and Allbirds takes flight to the neocloud

3

Open Source Self-Driving with Comma AI

4

Post-Mortem of Anthropic's Claude Code Leak

5

Agentic Coding and the Economics of Open Source

6

AI at the Edge is a different operating environment

7

Humility in the Age of Agentic Coding

8

AI policy and the battle for computing power

9

Cognitive Synthesis and Neural Athletes

10

AI incidents, audits, and the limits of benchmarks

11

Inside an AI-Run Company

12

How is AI shaping democracy?

13

Controlling AI Models from the Inside

14

2025 was the year of agents, what's coming in 2026?

15

Beyond chatbots: Agents that tackle your SOPs

16

The AI engineer skills gap

17

Technical advances in document understanding

18

Chris on AI, autonomous swarming, home automation and Rust!

19

Beyond note-taking with Fireflies

20

Autonomous Vehicle Research at Waymo

21

Are we in an AI bubble?

22

While loops with tool calls

23

Tiny Recursive Networks

24

Dealing with increasingly complicated agents

25

The impact of AI on the workforce: A state-level case study

26

We've all done RAG, now what?

27

Creating a private AI assistant in Thunderbird

28

Cracking the code of failed AI pilots

29

GenAI risks and global adoption

30

Inside America’s AI Action Plan

31

Confident, strategic AI leadership

32

Educating a data-literate generation

33

Workforce dynamics in an AI-assisted world

34

Reimagining actuarial science with AI

35

Agentic AI for Drone & Robotic Swarming

36

AI in the shadows: From hallucinations to blackmail

37

Finding Nemotron

38

AI hot takes and debates: Autonomy

39

Behind-the-Scenes: VC Funding for AI Startups

40

AI-Automated Film Making

41

Federated learning in production (part 2)

42

Federated learning in production (part 1)

43

Emailing like a superhuman

44

Model Context Protocol Deep Dive

45

Seeing beyond the scan in neuroimaging

46

Open source AI to tackle your backlog

47

Orchestrating agents, APIs, and MCP servers

48

Software and hardware acceleration with Groq

49

AI-assisted coding with GitHub's COO

50

Optimizing for efficiency with IBM’s Granite

51

Build a workspace of AI agents