Joined April 2018
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Here's a quick (90 second) preview of the Practical AI podcast! Listen and subscribe on 👇 Apple: chlg.co/practical-ai-apple Spotify: chlg.co/practical-ai-spotify Overcast: chlg.co/practical-ai-overcas… Android: chlg.co/practical-ai-android RSS: chlg.co/practical-ai-rss changelog.com/practicalai/tr…

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🚨More capable AI agents bring new security challenges. In this episode [link below], we unpack Anthropic's Zero Trust for AI Agents framework and discuss how organizations can secure agentic systems while adapting traditional cybersecurity principles.
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🌎 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👇
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🛠️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!🧵👇
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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: practicalai.show/357
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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: practicalai.show/358
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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👇
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⚙️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👇
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🚨 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
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💭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
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🔥 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 🧵👇
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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: practicalai.show/353 #AutonomousDriving
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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: practicalai.show/354
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