How OpenAI Can Fix Itself with Exponential Organization Principles Paid Members Public
Delve into OpenAI's challenges during its transition from a non-profit to a for-profit entity, examining debates on mission alignment and governance through the lens of Exponential Organizations (ExOs) and proposing solutions based on ExO principles.
Exponential Organizations: ExOs that Failed and What We Have Learned Paid Members Public
One of the key characteristics of any founder is persistence and ability to avoid many of the obstacles ahead by remaining faithful to its massive transformative purpose.
Massive Transformative Purpose — The Heartbeat of Every ExO Paid Members Public
An MTP is a new paradigm bigger than just a mission statement. It’s a highly aspirational tagline that tries to solve a global issue.
Forget Startups, ExOs (Exponential Organizations) Are The New Way To Innovate Paid Members Public
When you lower the cost of supply, you decrease the denominator and your market cap explodes. This is one of the reasons why there are so many unicorns these days.
We are Updating the Global Best Seller Exponential Organizations in the best way possible; exponentially! Paid Members Public
Salim, his co-authors, and a group of close advisers created the first edition. This time, we are doing it together and we are doing it publicly. Our community now has over 80 volunteers and changemakers curating portions of the book.
Are We Heading Towards A Star Trek Or Mad Max Future? Paid Members Public
Star Trek: The only way we can grow and evolve as a new species is to have new experiences. - Peter Diamandis
Exponential Organizations: ExOs That Failed And What We Have Learned Paid Members Public
Every individual can now genuinely make a difference to the world and make an impact that was traditionally a luxury only afforded to governments and large organizations.
ExO Sprint for Global 5000 Companies Paid Members Public
The fundamental problem you have to solve is what I call the “immune system problem” in any traditional organization—where it's architected for scarcity, for efficiency, for predictability.
