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Commuting To The Future: Navigating the Gap Between AI Hype, Doom, and Reality

by J Wynia | at Minnebar 19

The conversation around AI has become a disorienting mix of breathless hype, existential doom predictions, and widespread misinformation—making it nearly impossible to understand where we truly stand. As someone who regularly 'commutes' between cutting-edge AI research and mainstream implementation, I've observed how the traditional tech adoption cycle has collapsed with AI, creating parallel realities of understanding. This talk cuts through the noise to provide clarity on what's actually happening, what's genuinely transformative versus incremental, and how to develop your own accurate mental model of AI capabilities. Whether you're confused by contradictory AI narratives or simply trying to make informed decisions about adoption and investment, this session offers a grounded perspective from someone who witnesses both the bleeding edge and everyday reality of AI.

All levels

J Wynia

Maker, writer, and software guy. J has been writing code for 40 yrs, and consulting for nearly 30 across a wide range of industries and companies, designing and building software systems. When LLM-based AI made its big pivot a few years ago, he realized that the rest of his career was either going to end up working on AI, with AI, or cleaning up after AI. All of those and even the path of fighting against AI had one thing in common: they require knowing how it works at a practical level. He's spent the last 3 yrs doing R&D around the topic and working with companies from startups to big corporations figure out their AI strategy and build applied AI systems responsibly.

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