Practical AI 🤖

🦾 Making artificial intelligence practical, productive, and accessible to everyone
🎙 with @dwhitena & @chrisbenson

[Practical AI 🤖 @PracticalAIShow]

Here's a quick (90 second) preview of the Practical AI podcast! Listen and subscribe on 👇

Apple: https://t.co/n7U3kWkSHl
Spotify: https://t.co/z3igcQwGsx
Overcast: https://t.co/Sr5BpOehm1
Android: https://t.co/TMpnTIcyZk
RSS: https://t.co/t63rQqDH8Q

https://t.co/Xp6cGMfFvM

[Practical AI 🤖 @PracticalAIShow]

Listen here: https://t.co/bKHfIN5hon

[Practical AI 🤖 @PracticalAIShow]

🌎 In the latest #podcast episode, we break down the Stanford AI Index Report, discussing #AI adoption, safety, robotics, and the surprising gaps in today's most advanced models.
Plus: should AI optimize everything, or are some things better left human?

Episode link below👇

[Practical AI 🤖 @PracticalAIShow]

4️⃣ Rebooting Enterprise AI with MCP and Kubernetes
Craig McLuckie, CEO of Stacklok, joins Dan and Chris to discuss MCP, Kubernetes, ToolHive, and the infrastructure behind fleets of enterprise AI agents.

🔗Listen: https://t.co/aWSIEljlqQ

[Practical AI 🤖 @PracticalAIShow]

🛠️May Recap: This month on Practical AI: open vs. closed AI, AI governance, self-improving agents, and enterprise AI infrastructure. If you missed an episode, now’s the perfect time to catch up!🧵👇

[Practical AI 🤖 @PracticalAIShow]

3️⃣Hermes Agent: Agents that grow with you
Jeffrey Quesnelle from Nous Research joins Dan and Chris to explore Hermes Agent, self-improving AI systems, recursive learning, and the future of human + AI collaboration.

🔗Listen: https://t.co/Eh1FOP3A0P

[Practical AI 🤖 @PracticalAIShow]

Listen here: https://t.co/aWSIEljlqQ

[Practical AI 🤖 @PracticalAIShow]

What happens when AI agents start acting less like chatbots and more like coworkers?
In this episode, we talk with Craig McLuckie, CEO of Stacklok, to explore MCP, Kubernetes, ToolHive, enterprise AI, and the infrastructure powering AI-native applications.

🔗Episode link below👇

[Practical AI 🤖 @PracticalAIShow]

Listen here: https://t.co/Eh1FOP3A0P

[Practical AI 🤖 @PracticalAIShow]

⚙️Open Source AI is entering a new era of self-improving #AIAgents and autonomous collaborators.
Jeffrey Quesnelle from Nous Research joins us to discuss Hermes Agent, model vs. harness architectures, and what remains uniquely human as AI accelerates.

🔗Episode Link below👇

[Practical AI 🤖 @PracticalAIShow]

Listen here: https://t.co/6e1po2daKt

[Practical AI 🤖 @PracticalAIShow]

🚨 Congressman Beyer joins us for a deep conversation on #AI regulation, AI safety, cybersecurity, U.S. vs China competition, job displacement, surveillance, autonomous weapons, existential risk, and the future of superintelligence.

🎧 Listen here: [link below]
#AIregulation

[Practical AI 🤖 @PracticalAIShow]

Listen here: https://t.co/wamRSk00mj

[Practical AI 🤖 @PracticalAIShow]

💭Do open vs. closed models still matter?
This week’s episode dives into:
• Physical AI & edge devices
• Beyond model wars
• Rise of agentic systems
Featuring thoughts on LLaMA and where #AI is heading.

🎧 Listen here: [link below]

#OpenSource #LLMs #AgenticAI #TechTrends

[Practical AI 🤖 @PracticalAIShow]

4️⃣ The mythos of Mythos and Allbirds takes flight to the neocloud
From Anthropic’s mysterious Mythos model to Allbirds’ unexpected neocloud pivot, and the rise of “tokenmaxxing”, this episode covers some of the most surprising developments in AI.
🔗Listen: https://t.co/jkuQch2jlP

[Practical AI 🤖 @PracticalAIShow]

🔥 April Recap: April was packed with deep dives into AI, open source, and some of the wildest shifts we’ve seen in the ecosystem. If you missed an episode, now’s the perfect time to catch up
🧵👇

[Practical AI 🤖 @PracticalAIShow]

3️⃣ Open Source Self-Driving with Comma AI
Self-driving isn’t just for big tech anymore. With Harald Schäfer, CTO at Comma AI, we explored how OpenPilot, simulation, and world models are making autonomy more accessible.
🔗Listen: https://t.co/QEXwVeFnbR
#AutonomousDriving