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How to Regulate AI Safety, without the Government
What happens when independent bodies measure what matters, and what it means for AI
12 hrs ago
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Melissa Reeve
1
August 2026
The Goldilocks Governance Problem with AI (And How to Solve It)
Most AI Governance is too tight, too loose, or lacks accountability
Aug 26
•
Melissa Reeve
1
AI Is Error-Prone and Chaotic. Could It Also Be The Safest Thing We Have Ever Built?
Lessons we can learn from a century of developing aviation safety systems
Aug 18
•
Melissa Reeve
3
2
We Gave Toddlers the Car Keys to AI, Then Held a Security Conference About the Car
Why the OpenAI and Anthropic security issues aren't about the technology.
Aug 7
•
Melissa Reeve
1
1
Why I Wrote Hyperadaptive
For years, I saw organizations hit walls with transformations. Hyperadaptive learns from those lessons.
Aug 6
•
Melissa Reeve
1
July 2026
The Blueprint Your Team Can Actually Follow
Why a shared mental model is key to AI success.
Jul 30
•
Melissa Reeve
FIELD NOTE: Token budgets are the new 'that's out of scope'
What happens when old patterns wear new AI clothing
Jul 27
•
Melissa Reeve
4:23
What Most Organizations are Missing in the Rush to Build Agents
We're in the Wild West of Agentic AI, and We Need to Think Beyond Building
Jul 26
•
Melissa Reeve
4
2
2
An AI Book for Consultancies (and Your Clients)
Hyperadaptive Provides a Common Language for You...and Your Clients
Jul 23
•
Melissa Reeve
2
What Toyota’s Turnaround of GM Teaches Us About AI
Or…why AI adoption keeps producing activity without value
Jul 20
•
Melissa Reeve
1
1
Hyperadaptive Was Built to Be Read Together
Creating shared mental models and a common vocabulary is one powerful unlock of shared reading.
Jul 16
•
Melissa Reeve
From One Countable Win to a System That Scales Itself
The wisdom of starting small and getting your bearings
Jul 14
•
Melissa Reeve
2
1
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