Before the version of AI we have today, there was something called GOFAI. It stands for good old-fashioned Artificial Intelligence.
It didn’t work. And led to one of the famous AI winters where people were convinced that thinking machines were an intractable problem.
GOFAI used a top-down approach.
The idea was to take all we know and program it into computers. One piece of information at a time. It was incredibly time consuming, but most critically, it was incomplete.
You could program a computer for what we already know. But what about what we didn’t know? What about special cases and eventualities? What about stuff that never occurred to us or might happen tomorrow?
Life is complex and ever-changing. GOFAI couldn’t hang with life.
The top-down approach became a dead end. AI was on the ropes.
This changed mid-way through the second decade of the 21st century.
In 2016, with the invention of neural networks and the deep learning process, the modern age of AI was born.
The new approach was revolutionary and has many similarities to Darwin and Wallace’s theory of evolution.
Modern AI functions from the bottom up. Creating an almost biological outpouring of ideas and possibilities along the way.
What today’s AI is revealing is that top-down creation and management possibly isn’t what it is cracked up to be.
As Daniel Dennett points out in “From Bacteria to Back and Back” what we call R&D works best from the bottom up:
“Evolution by natural selection is not top-down R&D, like computer programming, in spite of its invention and heavy use of modules. It’s bottom up, Darwin’s strange inversion.”
Anyone who has used Midjourney or ChatGPT has seen great ideas appear from the deep. As much as we could call a prompt top-down management, it is more of a request to be served something surprising from the bottom.
Thanks to generative AI, the best and most fit ideas bubble up to the surface. Sometimes it seems genius.
To understand how to succeed in today’s new world, we must take a bottom-up approach. We must look at the world from an entirely different perspectives and invert our thought processes.
What Daniel Dennett means by “Darwin’s strange inversion” is that intelligence starts at the bottom and works its way to the top.
For anyone that been alive since the industrial revolutions, it’s hard concept for us to wrap our heads around.
Traditional business has been built on the premise that intelligence lives at the top and the job of management is to drive it downwards.
This is what top-down management is all about.
But what people are missing is that AI isn’t logical, it’s biological. The generative process starts at the bottom and goes through a black box we will never truly understand. By nature, it only works when given a free hand.
Right now, generative AI is creating new possibilities as you read this. It is not waiting for instructions from central command.
This bottom-up idea of the world destroys GOFAB (Good old-fashioned business). GOFAB is the increasingly antiquated top down, non-iterative, non-trusting, non-collaborative systems we have been implementing for over a century.
Things are changing. Fast.
For managers in the old top-down world this can provide some hairy questions:
1. How do I let go of micro-management?
2. How do I check my professional egocentricity?
3. How do I understand and build systems for the inverted world?
4. How do I most effectively recognize and curate great ideas that bubble up from the bottom?
Deep down we all want control — especially those in charge.
The good news for managers is that control is not going away.
But how it is defined and implemented is rapidly changing.
Control used to mean setting objectives, doling out tasks and checking on progress.
Today control means building and trusting in new systems, recognizing good ideas, and green lighting promising ones with utmost speed.
The new way calls for less process and more doing. AI compresses time and removes repetitive tasks. But at the same time demands more human genius.
In the time that humans can construct a single prototype AI generate have ten. The human genius is in selecting the right option.
It is no longer about micromanaging the details but, instead, macro-managing the new biological, bottom-up way of invention and creation.
In truth, it is nothing new, we just need to shake off the clunky heuristics of a system that was invented to harness the power of the steam engine.
The future lies in revisiting a system that has been around over 3.7 billion years..
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