The AI Riff (Ep 56)

The AI Riff (Ep 56)

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The AI Riff (Ep 55)

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The AI Riff (Ep54 XL) - Why Open Models Matter (or Don't)

Open-source AI just crossed a line that could reshape the entire industry. This episode explores why GLM 5.2 is being compared to Linux’s rise against Windows—and what it means when businesses can start owning AI instead of renting it. The conversation dives into the growing battle between open models and frontier giants like OpenAI, Anthropic, and Google, the real economics behind AI infrastructure, and why specialized AI models may outperform massive general-purpose systems in the years ahead. Beyond the technology, the discussion tackles what this shift means for founders, IT leaders, and professionals facing rapid workplace change. From AI orchestration and niche industry solutions to the skills that will separate tomorrow’s winners from those left behind, this episode challenges some of the biggest assumptions about where AI is heading—and who stands to benefit most.

The AI Riff (Ep52) - Who Pays for AI Data Centers?

AI’s biggest bottleneck may not be smarter models—it may be power, water, and the massive data centers quietly reshaping entire communities. In this episode, the team digs into the explosive race to build AI infrastructure, unpacking why hundreds of billions are flowing into data centers, why local residents are pushing back, and whether the industry is headed toward a construction boom—or a painful overbuild. From the surprising reality that AI usage consumes more resources than training, to the debate over tax incentives, energy grids, climate impact, and the hidden economics driving the AI arms race, this conversation separates headlines from reality. If you’re a tech leader, operator, investor, or simply trying to understand what’s powering AI behind the scenes, this episode explores the tradeoffs, risks, and unanswered questions most people are missing right now.

The AI Riff (EP 53) - Agentic AI Reality Check

Agentic AI is supposed to be the next big leap—but what happens when the real problem isn’t the AI, it’s everything around it? This episode unpacks a revealing industry study showing that companies aren’t struggling because AI is too dumb; they’re struggling because deploying, governing, and maintaining AI at scale is far harder than expected. The conversation explores the hidden costs of AI orchestration, why hallucinations become exponentially more dangerous inside complex workflows, the risks of vendor lock-in, and the surprising new careers emerging from the AI boom. From context management and governance to data center growth and the future of agentic systems, the hosts challenge both the hype and the fear—while revealing what most organizations are missing right now. If you’re a founder, operator, technologist, or AI leader, this is a reality check you can’t afford to ignore.