Why Your AI Always Picks 46
Generational Perspectives on AI
Navigating AI in the Workplace
The Role of AI as a Thought Partner
The Dissonance of AI Expectations
The Future of AI and Human Creativity
The Value Exchange in AI Data Usage
Navigating AI in the Workplace
The Challenge of Institutional Knowledge
The Chaos of AI Outputs
Balancing Human and AI Contributions
From Ideas to Implementation in AI
Trust and Adoption in AI Solutions
Episode 17: Why Your AI Always Picks 46
What happens when everybody asks AI for advice and gets some version of the same answer? Justin and Kellan look at the growing trust gap around workplace AI, the explosion of artifacts and apps inside teams, and why adoption still depends on human judgment.
The Drip:
- Gallup's Gen Z AI-at-work numbers: excitement fell while anger climbed
- The gap between the workplace mandate to "figure out AI" and what people actually experience
- Why access to capable tools changes how believable the broader AI narrative feels
Inside The Bottle:
- Why a model asked for a number between zero and one hundred keeps landing on 46
- The "AI slop loop" and what happens when training data starts feeding on AI-generated work
- How personal context files and individualized agent behavior create institutional-knowledge chaos
- Why more apps, documents, and tokens consumed do not equal useful adoption
- A crawl-walk-run path from chat to harness to API, with humans kept in the places that require judgment
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