Futurist: Peering into my crystal ball

It has been an interesting week in the world of artificial intelligence, or as I prefer to call it, machine intelligence. First, the anticipated rollout of open AI and their 4o version is slowly rolling out. Right now, it is the text-only version, but the rest is coming. Beyond that, Apple, during their WWDC, announced several interesting initiatives today. They've taken the vocabulary of Apple Intelligence as their AI terminology going forward. All of this impacts all of us. But I wanted to peek over the horizon today. I don't often do this, but to look 3-5 years into my crystal ball. To see what I may see.

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The concept of the future of AI is not just a source of nervousness but also a beacon of significant potential. I've discussed the current capabilities of AI, but what's truly exciting is the promise of what it will be able to do in the coming years. In that three to five-year window, we were talking about. I will give you a list of what you can do today, member, and talk about how that will improve significantly in the near term. The first thing, of course, is that AI today, or machine intelligence today, offers you the ability to do limitary translation; call it limitary because simply the reality is not 100%. When there is a machine intelligence system that can translate any language to any language with 100% fidelity, including the nuances of speech, it will be critical. In the next three years, you will see that initial AI translation engine—the literal ability to translate any spoken language into any other language.

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The other thing working to gain from AI in the near term or machine intelligence in the near term, which is about 18 months, is the concept of improved multimodal creation. My last three articles talk about the fact that there is a mythos of machine intelligence killing creativity. There is also the allegation of machine intelligence killing all humans. In reality, what will happen is that machine intelligence will allow people to express creativity in even broader ways than they can today. I've said many times I could be a better graphic artist. I see the image I wish to use, but I can't create that image. Based on that, I needed to use the machine intelligent prompt in a multimodal mode to create images visually representing what I was trying to say. That speeds up the creativity process for me significantly. You still can't do a graphic that represents a software architecture yet, but give that some time. I'm not talking about building architectural diagrams; those will be building architects using AI in the future. I'm talking about the ability to create a diagram representing what software can and cannot do.

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Based on the piece I shared last week, the power of machine intelligence will be in the world of human augmentation in the next three years. I am making the human in the loop smarter. That evolution will allow humans to do more. Of course, the downside is that you need fewer people to do the same. The goal is to end up with fewer human beings doing the same things because machine intelligence would allow us to remove humans from that loop. Instead, I argue that humans can do more with machine intelligence. You still need roughly the same number of people, but now you can do more.

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With the advent of the Internet, the concept of search became crucial. The Internet quickly demonstrated the challenge of information overload. You wanted to find information about the migration pattern of ducks. Before searching, I would have to know of a group studying the migration patterns of ducks and hope that they had either published a scientific paper or had a website. The introduction of search meant that I could go to one place and search the entire Internet for information about duck migration. I could use a well-defined search query like 'migratory patterns of wood ducks in North America. ' The search was the evolution that transformed the Internet! Machine intelligence is the innovation that will revolutionize knowledge management, making it something organizations can truly implement, use, and benefit from. I foresee this transformation happening within the next three years.

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As I have often done in the past and made predictions for the future, I will track these and fully acknowledge when I am wrong. I will also take credit when I'm right. That's the beauty of making predictions: you get to say I was right. You also have to acknowledge I needed to be corrected. An incorrect is often likely to be produced 35 years into the future. In the next three to five years, we will see an evolution in machine intelligence similar to the Internet with the advent of search and the reality of more ubiquitous conductivity. Conductivity continues to improve, the search will continue to improve, and ultimately, machine intelligence will help us deliver the promise of truly happy information at your fingertips!