HeyJaredDave 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.
- Indexed episodes, last 90 days
- 10
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- Sep 4, 2026
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- Jul 3, 2026
Latest episodes
Amazon's AGI Retreat: Why the Hype Is Starting to Crack (opens the original)
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For the past two years, the AI industry has sold a story that AGI was almost here, that the biggest cloud players would deliver it, and that enterprises needed to buy in fast or risk being left behind. Now reality is starting to cut through the hype. Amazon's decision to close its San Francisco AGI lab, while continuing selected frontier-model work and AI products, is a signal that the market is separating research ambition from commercial execution. This is not the end of AI, and it is not even
Professor Outsmarts AI Cheaters With a Hidden Prompt (opens the original)
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A college professor just exposed one of the biggest problems schools are facing in the age of artificial intelligence: students using AI to cheat without even reading what it gives them. In this story, Alcorn State University history professor Dr. Jason Gibson reportedly embedded hidden white text inside a midterm prompt. The students couldn't see it, but AI chatbots could. That hidden instruction told the AI to include bizarre references to Madagascar in the answer — and when dozens of students
Workers Say Meta Let AI Help Decide the Layoffs (opens the original)
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Meta is facing a serious new lawsuit, and this one cuts straight into one of the biggest fears people have about AI at work: what happens when an algorithm helps decide who loses their job? According to recent reports, 26 current and former employees allege that Meta used AI-assisted or automated systems in a layoff process that unfairly impacted workers on medical leave, parental leave, pregnancy-related leave, and employees with disability accommodations. The workers argue that if a company re
Agentic AI Has an MCP Problem (opens the original)
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MCP was supposed to be the breakthrough that made agentic AI actually work at scale. It promised a common language for tools, memory, and action — the missing layer that would turn language models into reliable digital operators. But in 2026, that promise is starting to collapse under real-world pressure. The deeper companies pushed MCP into production, the more they ran into the same problems: security risks, bloated context windows, fragile integrations, unpredictable behavior, and agents that
Why AI Vendors Are Embedding Engineers Inside Your Enterprise (opens the original)
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Forward deployed engineers are suddenly everywhere, and if you spend any time around enterprise AI, cloud, or data modernization, you've probably noticed the title showing up again and again. That is not an accident. The largest AI providers, the hyperscalers, and the big model companies have figured out that most enterprises are very good at launching pilots and very bad at getting those pilots into production. The technology works in a demo, but production is where things become expensive, pol
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