Testing Griffin
Testing Griffin
Your Interviewer Is a Machine. Now What?
“The challenge is that your best future employee may not look, speak, or present like your current team. Innovation often comes from difference, yet the algorithm is designed to select for similarity. When companies delegate hiring to machines, they create a blind spot for outliers, career-changers, and introverts whose potential data cannot capture. We explore how candidates can ‘network around the algorithm’ and why employers must audit their rejected piles to find the talent the machine missed.”
Your Boss Is a Machine. Now What?
So now you report to a person, but that person also reports to a system. When human judgment and the algorithm disagree, which one wins? As we face the reality of the ‘Machine Boss,’ we must decide how to respond: Optimize for the AI, Fight the Machine, or Build Your Own Infrastructure. Discover how to build the emotional infrastructure—or ‘heartware’—needed to stay whole inside accelerating systems.
The Seven Culture Killers
Culture erodes when efficiency replaces judgment, when automation outpaces accountability, and when metrics are mistaken for meaning. It fractures when speed is rewarded over reflection, when surveillance is framed as insight, and when tools substitute for trust. Culture collapses fastest when optimization proceeds without ethics — and when leaders forget that intelligence scales systems, but humanity sustains them.
Human 2.0: Why the Next Revolution Will Be Human
The next revolution is not technological; it is human. While machines master logic, only humans can anchor meaning. As intelligence becomes abundant yet automated, our true advantage lies in coherence—the ability to integrate thought, emotion, and action. Progress is no longer defined by speed, but by the capacity to stay whole as complexity rises. In a world shaped by machines, our future depends on who we choose to become.
AI Is Rewriting the Workplace — But Not the Way Leaders Think
Performance often improves at first. Errors decline. Processes tighten. On paper, things look better. But underneath, something else is happening. People stop interpreting. They stop arguing. They stop standing behind decisions in the same way.
When hesitation is punished and speed is celebrated, people adapt. They comply. They let the system decide. From the outside, this looks like alignment. From the inside, it feels like erosion.
Interview: Reid Hoffman & Parth Patil-Your Enterprise AI Strategy Is Backwards
AI’s biggest impact isn’t automation. It’s helping companies stop losing what they already know.
The future belongs to organizations that use AI not just for speed, but for shared memory and collective learning.
Anthropic Is Building for Claude What Most Companies Refuse to Build for Humans
While Anthropic is building a “constitution” to teach Claude how to reason, navigate ambiguity, and internalize values, most enterprises are doing the exact opposite for their people. We strip away human judgment in favor of rigid compliance, then wonder why execution stalls. This article explores the uncomfortable truth: Anthropic is building the very infrastructure for AI—shared memory and psychological safety—that most companies have refused to build for their own employees for decades.
Your AI Transformation Is Succeeding. That’s the Problem.
Your AI Transformation Is Succeeding. That’s the Problem. Your AI Transformation Is Succeeding. That’s the Problem. “Organizations can become simultaneously
What Hinton Is Warning Us About — and What Comes Before It
Work becomes execution without authorship. … This is not yet unemployment. It is pre-unemployment.
It is the phase where humans are still present, still productive, but no longer fully inhabiting their role as interpreters of reality. And once that interior shift occurs, economic displacement becomes far easier to justify, automate, and absorb.
The Seven Patterns Silently Destroying Your Culture
A diagnostic framework for leaders who sense something is wrong—but can’t name it
The Infrastructure AI Can’t Replace
Why emotional architecture—not just technology—determines whether your AI transformation succeeds or fails.
The Cultural Operating System in Organizations is Shifting
Culture isn’t background noise—it’s organizational infrastructure, the operating system determining what’s possible and what gets attention. As change accelerates beyond our adaptive capacity, we face a coherence crisis. The real AI-era risk isn’t machine intelligence surpassing ours, but change outpacing our ability to integrate it. We need “heartware”—internal systems balancing emotion, cognition, and intuition.
From Human 1.0 to Human 2.0: Why the Same Human Now Needs a New Architecture
Human 1.0 named the ancient human beneath modern systems. Human 2.0 names the work now required to keep that human intact when intelligence becomes ambient and the pace of change outstrips our ability to form meaning.
Why Acceleration Breaks Judgment Before It Breaks Systems
Acceleration does not remove human judgment. It crowds it out. When answers arrive faster than people can interpret them, clarity increases while confidence quietly erodes.
What IDC Gets Right — and What It Leaves Unsaid
Industry forecasts describe how fast AI will move. What they rarely ask is whether humans can remain coherent enough to keep pace—confident in their judgment, connected to one another, and grounded in meaning.
The Leadership Failure Dashboards Will Never Show You
Most leadership failures in the age of AI do not announce themselves as failures. Performance often improves before judgment collapses. Decisions move faster, output increases, and systems appear healthy—while human confidence, interpretation, and ownership quietly erode beneath the surface.