Tech Snippets Today with Joseph Raczynski
Sep 14, 2026 · 32 min · 9 segments
Across virtually every industry today, billions of dollars are flowing into artificial intelligence. Boardrooms are celebrating instant productivity gains, automated workflows, and algorithmic…
And I love the positivity and then the thought process here because I think it's extraordinarily important, especially from my vantage point, I mean, I've been in this space for a long time, and I've been sort of trying not to predict, but use data to analyze where we may be going as a society, where technology goes, then where society is going, and how we do this blending of both for a positive outcome.
So one of the things I think I want to take a step back a little bit about as we get into the book a little bit more is around the alignment gap.
People hear about AI alignment all the time, but I don't think people quite get it.
So from your perspective, how do you view this? How do you see this right now?
Well, I think the gap that we are seeing in the organization, it's happening because most organizations are treating AI adoption as a technology problem.
Rachel Botsman, who's spent years researching on trust and technology, has a definition that I love, that trust is a confident relationship with the unknown.
And AI is perhaps the biggest unknown most of us have encountered in our lifetime.
And a confident relationship with it needs clarity, it needs consistency, it needs commitment.
I feel there is a sense of power in prediction, and what we are creating right now is chaos.
I've been meeting a lot of AI builders, people that are working on orchestration layers, small language models, open-weight models, and their approach to building trust is making the technology safer.
And I love the positivity and then the thought process here because I think it's extraordinarily important, especially from my vantage point, I mean, I've been in this space for a long time, and I've been sort of trying not to predict, but use data to analyze where we may be going as a society, where technology goes, then where society is going, and how we do this blending of both for a positive outcome.
So one of the things I think I want to take a step back a little bit about as we get into the book a little bit more is around the alignment gap.
People hear about AI alignment all the time, but I don't think people quite get it.
So from your perspective, how do you view this? How do you see this right now?
Well, I think the gap that we are seeing in the organization, it's happening because most organizations are treating AI adoption as a technology problem.
Rachel Botsman, who's spent years researching on trust and technology, has a definition that I love, that trust is a confident relationship with the unknown.
And AI is perhaps the biggest unknown most of us have encountered in our lifetime.
And a confident relationship with it needs clarity, it needs consistency, it needs commitment.
I feel there is a sense of power in prediction, and what we are creating right now is chaos.
I've been meeting a lot of AI builders, people that are working on orchestration layers, small language models, open-weight models, and their approach to building trust is making the technology safer.
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