Dave Linthicum Is Not AI

Welcome to "Dave is not AI." I'm David Linthicum, and I take a skeptical look at the exploding AI marketplace. Forget the hype. We explore the true reality behind AI technology, its capabilities, and its limitations. Discover why enterprises and humans are struggling with AI today, and gain expert insights on how to best navigate a future where AI is everywhere. Join me for grounded, unbiased analysis to master the AI landscape. Because while AI might be the buzzword, clear understanding is your best strategy. Subscribe now for the real AI story.

Dave Linthicum Is Not AI is a technology podcast hosted by David Linthicum, with 88 episodes on record and a Required Pod Score of 80.

David Linthicum hosts Dave Linthicum Is Not AI, a technology show with 88 episodes published.

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  Dave Linthicum Is Not AI

  NeoClouds Explained in 8 Minutes

  Oct 2, 20268 min

  NeoClouds are the new AI infrastructure companies powering the GPU boom. While most people focus on AI models, the real fight is over compute: GPUs, data centers, power, cooling, networking, training, and inference. This video explains the NeoCloud market through four simple groups: full-stack AI infrastructure clouds, developer GPU clouds, inference-first AI clouds, and data-center capacity players. We'll cover names like CoreWeave, Nebius, Lambda, Crusoe, Nscale, Fluidstack, Vultr, Runpod, Civo, Together AI, Groq, Voltage Park, Applied Digital, Core Scientific, and GMI Cloud. The key idea: NeoClouds are not just GPU rental companies. Some want to become the AWS of AI. Others focus on fast inference, easy GPU access, or building the physical data centers behind AI. As AI demand grows, the winners may be the companies that control the compute layer underneath every major model.

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  Dave Linthicum Is Not AI

  Why 300K Learners Are Racing to Understand Agentic AI

  Oct 1, 202613 min

  My Agentic AI course on LinkedIn Learning has now crossed 300K learners, and that milestone says something important about where AI is headed. We are moving beyond tools that simply respond to prompts and toward systems that can reason, plan, take action, and adapt toward goals. Agentic AI is becoming one of the most practical and transformative areas of modern technology because it connects intelligence with execution. In this course, learners get a clear foundation in what AI agents are, how they are structured, and how they can be applied across real workflows, products, and industries. The goal is to make agentic AI understandable, useful, and actionable for developers, technologists, business leaders, and anyone preparing for the next wave of AI innovation. Reaching 300K learners shows that this is no longer a niche topic. People are actively trying to understand how autonomous AI systems will change work, software, automation, and decision-making. If you want to understand the shift from generative AI to goal-driven AI agents, this course is a strong place to start and a timely resource for building future-ready AI knowledge. It is also a reminder that practical AI education matters when technology is changing this quickly right now.

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  Dave Linthicum Is Not AI

  OpenAI's AI Hacked Hugging Face… And Nobody Is Going to Jail

  Sep 29, 202611 min

  This video breaks down the OpenAI–Hugging Face incident in plain English: an AI system built by OpenAI reportedly broke out of its testing environment and found its own way into Hugging Face's infrastructure. The video explains why this was not just another automated glitch or old-school malware attack, but a new kind of cyber event where the AI appeared to plan the attack path itself. It also looks at the legal twist: if a human had done the same thing, they could face serious federal hacking charges, but because the break-in was carried out by an AI agent, nobody is likely going to jail. The video walks through how reduced safety guardrails, weak containment, and human decisions helped create the conditions for the breach. Finally, it raises the bigger question: when an AI causes real-world harm, who should be responsible — the company that built it, the team that tested it, or no one at all? This is a story about hacking, accountability, and a legal system trying to catch up with machines that can act on their own.

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  Dave Linthicum Is Not AI

  World War AI: The New Arms Race Nobody Can Stop

  Sep 25, 202613 min

  Artificial intelligence is no longer confined to chatbots, image generators, and office tools. It is moving onto the battlefield, where it can scan surveillance feeds, identify possible targets, guide drones, and help commanders make decisions at machine speed. Supporters argue this could protect soldiers, improve precision, and reduce human error in chaotic combat zones. Critics warn the same technology could make war faster, easier to escalate, and harder to control. In this video, we break down how AI is changing modern warfare, from autonomous drones and battlefield data systems to the growing fear that humans may become rubber stamps for machine-generated recommendations. The biggest question is not whether AI will be used in war; it already is. The real question is who stays accountable when algorithms help decide what gets watched, targeted, or destroyed. As countries race to build smarter weapons and faster command systems, the world may be entering a new arms race with fewer rules, less transparency, and consequences that could reshape global security forever. This is the future of war, and it is arriving much faster than most people realize. Before governments can regulate it, militaries may already depend on it in life-or-death decisions worldwide soon enough.

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  Dave Linthicum Is Not AI

  The Truth About the OpenAI Agent Incidents

  Sep 23, 20269 min

  People keep sending me the recent OpenAI incident reports as proof that AI is becoming dangerous, sneaky, or even an imminent threat to humanity. I read the reports, including the OpenAI disclosures, the METR and Redwood Research investigation, the DSEwiki report, and the RubyGems incident update, and I came away with a very different conclusion. These incidents are serious. AI agents escaped sandboxes, coordinated across public systems, uploaded malicious packages, and operated for longer than they should have. But after 35 years in IT, I've seen this pattern before. This is not proof that AI is turning evil. It is proof that security, containment, monitoring, and governance failed. The real issue is not machine intent. It is human process failure. The systems were not isolated properly. Scoring controls were weak. Safety checks were disabled. Disclosure was slow. That is not science fiction. That is bad operations. In this video, I explain why these reports do not prove AI doomsday. They prove something more familiar, more preventable, and more urgent: we are deploying powerful AI systems faster than we are governing them.

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