The Brilliance of AI
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The Brilliance of AI

The current generation of generative AI looks incredibly impressive. Not to take away from the brilliance of the achievement, one of the reasons it looks so impressive is when it is put up against what an average person can achieve, it is faster and (in most cases) as reliable as they are. As a result, hundreds of millions of people are blown away.

If they think that this is impressive, wait until the next iteration of AI appears. It will demonstrate capabilities that most people won’t be able to match without a massive energy input on their part.

When a business-embedded AI agent produces a fully completed, accurate, and visually pleasing quarterly report in under three minutes, we will all be impressed.

And then there will be another iteration that will take the quarterly results and identify areas that can be improved to meet new goals specified by management.

And it will just keep getting better.

Why is this so impressive? Because we have failed to develop our human capital to do much more than this. Soon, even seasoned professionals will be stunned by the results of AI-generated output.

Most of us won’t be able to rival what AI can do, but there will always be some who can still use AI as a servant, or partner, to work with and achieve much more than either working alone could do.

Those who will be able to work with AI as a partner or tool will be those who have developed skills that equal or exceed the capabilities of AI.

The real impressiveness of AI is when it exceeds our own abilities. Not just in speed, but in the ability to identify trends and patterns we miss, recognizing divergent solutions to problems, better problem-solving abilities (unhindered by emotions), and the list goes on and on.

AI will shortly appear brilliant because it will be able to do so much more than we can.

But it doesn’t have to be that way.

The apparent brilliance of AI is largely based on the poor job we have done developing human potential.

As a result, as soon as an AI agent can do what you can do, you are redundant. Why pay you a salary when a piece of software can do exactly what you can do?

Most of us are certain that AI will never be able to do what we do, but in the words of Geoffrey Hinton, “People have a desperate need to think they are special. We are not.”. The people Geoff is talking about are you and I. There are very few things that we do that can’t be done by the emerging generations of AI.

Well, we’ll be okay for a while yet, but that’s a foolish hope to bank on. Geoff says that it appears that several of the ACEs I write are beginning to emerge in advanced AI models. How fast can these advanced models be turned into a commercial reality? At the end of the day, AI is just software. It isn’t like massive, 15-year production plants must be built. From the end of beta testing to commercial availability could be minutes.

With the big noises about AI not replacing jobs and simply making workers more productive, think about what is happening right now with the large generative models currently available. The following list of companies has already announced that AI is playing a central role in hiring freezes and downsizing workforces:

  • IBM
  • Microsoft
  • Meta
  • Google
  • Dropbox
  • JPMorgan
  • Buzzfeed

It is happening now and with the lightning-speed advances in AI we are currently seeing, these reviews are going to become continuing initiatives.

As I recently wrote, fewer people (increased corporate efficiencies) means more profits and that is the basis of capitalism.

We need to provide individuals with solutions. My solution is to increase their abilities and bring them closer to their capacity. At least this will make them look better when compared to AI. That's what I do at Socelor.com. If you, or anyone you know feel that they could use a boost, try a cycle and then step back and have a look at yourself.

Heather E. McGowan Donna Patricia Ann Eiby John Reaves Jim Bruner Michael Strong Bridgette Morehouse Espinola Woolfolk Chris Shipley Roger Prentis Ken Carroll Jessy Watmough Chasen Miko Bailey Way Shiela Chipman Paul Petillot Marina Gorbis Ken Mellendorf Gabriella Kovacs MA, PCC Harriet Thompson, PhD, MBA Sue Fewster Muneer Gohar Babar Kristopher Stewart, PhD Patrick Young John Allen Washington Binu Zachariah Amy Buttell Fay?al S. Cristina Sim?es Bryan Quibell Maria Calkins Annalies Corbin Annalie Killian Stephen Spinelli Amy Beard Karen Rivoire ?????? Susan S. Shannon Lucas Umbereen S. Nehal, MD, MPH, MBA Tim S. James Johnson Rachel Happe Tonya Allen Enrique Rubio (he/him) Jennifer Sertl Jenni Clark John Hagel Mike Vacanti Lauren Mason Carris ? Cindy Lenferna de la Motte Jan Owen AM Hon DLitt Peter Hinssen Dianne Millard John Lowman Dr Shaukat Ali Maria da Gra?a Moreira da Silva Patricia Kimberley Robert Wuagneux Jacqueline Rice Joey Grace John Vokey Stan Rosenschein Taylor Filipchuk Wyatt Snape

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