Real AI Aint just ChatGPT. From GW’s AI Executive Workbench…
Greg "GW" Weismantel
Mentoring a portfolio of 3,200 managers, we teach irrefutable hard-skill tenets of Strategic Management for the company; operational development for executives, departments and leaders through digital resources & courses
For the past 18 months, I have been researching the use of AI, and my findings parallel a recent article in the WSJ by Andy Kessler. It professed that AI was on the downside of popularity, and he called it “listening to a dial tone.”
I think that’s a misnomer, and it also tells me we are far away from where he describes AI today, probably 1-2 decades. That’s because my research shows his viewpoint is missing some important facts that, when added to his dialogue, expand the lifecycle of AI.
o?? Tie this fact to the one shown in Saturday’s WSJ about hardware required for AI, and the need to upgrade to new computers by companies using ChatGPT and LLMs in general.
Few people understand what a token is all about. It’s not a bitcoin, NFT, or a coin of anything, it’s data information, and not cheap.
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For your perusal, here’s the definition of AI from the Einstein AI? Digital Dictionary (available below)
Artificial Intelligence (AI) – the ability of a computer or machine to mimic human thinking, especially to discern patterns from large amounts of data. AI can be used to automate tasks that usually require human reasoning, like fraud detection or creating maintenance schedules for aircraft or cars. AI tools can help people make better decisions, like which go-to-market strategies to use for new products.?However, AI is not ChatGPT, AI is a combination of the disciplines of machine learning, computer vision, deep learning, and predictive analytics using a company’s own datasets.
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