Issue #25 - Hypnosis for Business People

August 19, 2023
Splendid Edition
Generated with Stable Diffusion XL and ComfyUI
In This Issue

  • Maersk and Wesco have started using generative AI to negotiate contracts with their suppliers.
  • Unilever and Siemens are using generative AI to analyze their suppliers and find replacements.
  • Travelers Cos. is using AI to assess the condition of insured sites and assist claim management.
  • Ubisoft is testing the use of generative AI for a wide range of applications, from game design to scriptwriting.
  • In the What Can AI Do for Me? section, we learn a technique to improve the quality of our corporate presentations with AI-generated images.

I’m very happy to report that the AI Adoption Tracker now counts 76 documented early adopters. At the current pace, which I constrain to give you the chance to digest the information, we’ll be well over 100 by the end of the year. Enough to illustrate the opportunity across industries and give everyone plenty of business ideas.

So much so that I’m thinking about putting together a conference talk titled “How 50 Early Adopters Are Using AI to Transform Their Industries.”

That said, before you dive into today’s Splendid Edition, here’s a little quote from Ilya Sutskever, OpenAI co-founder and Chief Scientist, I captured from his brief interview at the CEO Summit hosted by Khosla Ventures:

I think that two things are of value, two things are worth keeping in mind. One is obvious: some kind of special data that cannot be found anywhere else. That can be extremely helpful. And I think the second one is to always keep in mind not just about where things are right now but where things will be in two years in four years and try to plan for that.

I think those two things are very helpful. The data is helpful today but even a little bit kind of trying to get an intuitive sense for yourself of where do you imagine things being insane three years and how will it affect some of the basic assumptions of what the product is trying to do. I think that can be a helpful thing.

Say you’re playing with a model and you can see that the model can do something really cool and really maybe amazing if it was reliable, but it’s so unreliable so you kind of like “Forget it, it’s not. There’s no point using it.”
So, that’s the kind of thing which can change…Something which is unreliable can become reliable enough.

What people are sharing and you say “Oh look at this cool thin,m which works once in a while, but if it worked what would happen?”

This kind of thought experiments, I would argue, can help prepare for the kind of near to medium term future.

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