Harry Glorikian’s ‘Invisible Interface’ Sits Behind The Scenes – Yahoo Tech

The Invisible Interface book
Many of us know, intuitively, that there's an "AI race" happening. Some of us can trace the fault lines – between countries (like China versus the U.S.), between companies (like OpenAI versus whoever else) and between, well, people, on some level. But the delineations of the battle are vague. What, exactly, is the endgame? What are people trying to do with AI?
A new book by Harry Glorikian ,The Invisible Interface: How AI Turns Intentions Into Actions—And Who Wins(Ideapress Publishing, distributed by Simon & Schuster), raises a number of fascinating questions, among them being: what is it about the LLMs that is so useful for business? What are the strategies that will propel a firm to success over its competition?
The Four Trust Signals
As referenced in the title, The Invisible Interface, Glorikian suggests that there's a layer of operation in a company where neural nets can be inherently supportive, without actual AI decision-making per se. Some of us are used to thinking of cutting-edge AI as a "smart actor" or cognitive agent, a decision-making automaton if not a tool, and an entity in the org chart with its own power. That doesn't seem to be what Glorikian is talking about, exactly.
Instead, there's the assertion, in this handy guide to twenty-first century game theory, that what we should really be looking at is the wielding of these systems (like, for instance, how a warrior would use a strong sword) and how the data is treated during and after the process.
"Broad, open-world autonomy is not reliable today," Glorikian writes. "Bounded, governed workflows are. The strategic question is no longer simply what AI can do. It is what you should allow it to do, who learns from the work, and who owns what the system remembers."
The Personal Operating Layer
Reading sentences like that, the whole thing resonated with me.Humans still set the boundaries. But Glorikian's point isn't that AI shouldn't act. It's that the brakes have to be built first, so that it can..
Navigating the Attention Economy
Here's another part of the book that I think is essential and worth thinking about:
"(This book) explains what a personal operating layer is, why proofseconds determine whether people delegate, how cognitive rent emerges when someone else controls essential memory, and why agent experience will become as important as customer experience."
Proofseconds are the seconds between getting an AI's answer and acting on it. Single digits and people delegate. Minutes and they don't. (If you're like me, and thought that "proofseconds," a Glorikian term, was a typo, read this.)
I thought about that term, "cognitive rent."
Let's start with this: the AI age involves an attention economy, where what holds value is shifting. Gone are the days of inventory or equipment as primary capital: our world is digitizing. At the same time, there's so much information that attention is becoming one of our most precious commodities. I would argue that we're progressing right now from the data age, where experts intoned that "data is the life blood of the business," to the attention age, where getting that data to have impact is the prime directive.
Proofseconds
In a way, the book has its own world, complete with more novel terms. I want to include three more of them here, and include them whole, so that the reader can use them:
Here's how Glorikian defines the "personal operating layer" as a strategy component and more.
"The governed layer between intention and execution. A real POL remembers context, reasons across constraints, reaches across systems, reflects its work, and respects boundaries."
Here's the definition of the "decision friction index," including a helpful equation.
"A way to find the best first targets for delegation: (Time × Touches × Sources) ÷ Confidence. The point is ranking coordination cost, not admiring the math."
The third one is "agent experience optimization," which speaks directly to how humans use AI agents in the new age we are now in. The definition:
"The discipline of making a product legible, comparable, and trustworthy to AI agents. In an agent-mediated market, what is provable can beat what is merely persuasive."
This, Glorikian suggests, will be a major role of human managers in the years to come.
There's a lot more in the book, but I wanted to close with this salient idea that
Glorikian builds into what he calls the Four Trust Signals
.. I wanted to focus on this because so many front-line AI people, luminaries, academics and titans of business are right now sending letters to legislators warning about out-of-control AI.
Here's how Glorikian puts it:
"Sources, confidence, override, and stop are not compliance furniture. They are the product architecture that makes delegation possible."
I liked the term "compliance furniture" as a pejorative. But the idea stands tall: we shouldn't just add safeguards "because we have to," because some wet blanket poured water on the fire. We should do it because it's strategically right, and very necessary.
Glorikian also warns that "efficiency can quietly erode judgment," another excellent caveat for today's business community, not to mention hapless consumers.
"The risk is not only job displacement. Organizations also have to prevent cognitive atrophy when people stop practicing the skills an AI system performs for them."
This is a must-read. There's so much to think about in the AI era, but we have to focus on what to preserve, and what not to throw away.
This article was originally published on Forbes.com
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