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Unsupervised Learning · 1.2K views · 26 likes Short
Analysis Summary
Ask yourself: “What would I have to already believe for this argument to make sense?”
Performed authenticity
The deliberate construction of "realness" — confessional tone, casual filming, strategic vulnerability — designed to lower your guard. When someone appears unpolished and honest, you evaluate their claims less critically. The spontaneity is rehearsed.
Goffman's dramaturgy (1959); Audrezet et al. (2020) on performed authenticity
Worth Noting
Positive elements
- This video provides a highly clear and provocative mental model for understanding how AI can integrate into complex business workflows as a unified system rather than a series of disconnected tools.
Be Aware
Cautionary elements
- The use of 'revelation framing' to present a specific vision of algorithmic business as an objective, unavoidable reality rather than one possible technological path.
Influence Dimensions
How are these scored?About this analysis
Knowing about these techniques makes them visible, not powerless. The ones that work best on you are the ones that match beliefs you already hold.
This analysis is a tool for your own thinking — what you do with it is up to you.
Related content covering similar topics.
Transcript
This is I don't think the way to think about it. Okay. I think the way to think about this is actually you have a company and you have the company's work and all its workflows and the graph of all the services and the tools and the operations SOPs goals everything that is actually the system. The system is the graph of operations. Okay. It is the graph of algorithms that take place to make this business function. Okay, maybe it has humans there, maybe it doesn't. Maybe it has lots of humans, maybe it's mostly AI and a few humans. Doesn't really matter. This graph of functions, this graph of algorithms is the company. Now, think of AI as a system for running this graph of algorithms. That is what AI is. Then you have the question of okay, what are you doing for finance? What does procurement look like? Show me procurement. You're looking at this graph and this one little um line lights up. It's actually like 19 different lines. They all light up. Oh, these are the procurement uh workflows. Cool. So, we can drill into those. We can inspect. Okay, here's the tools, here's the human involved, here's the decisions, here's the signoffs, here's the exceptions, here's the risk register, whatever it is. The overall system is the graph of algorithms largely run by AI. What ends up happening is all the different things that used to be industries, they become use cases inside of AI. So the before is you have industries using AI and now what you have is an graph of algorithms run by AI that has use cases for different things right you you've got some of these things are security some of these things are HR some of these things are engineering AI is the container AI is the thing and it just has functions that happen to be affiliated with what we used to call industries. That that is a fundamental transition. But I think this mental model is a lot more descriptive of what's actually happening than thinking about it in terms of like well let's do everything the way we used to do it before. Okay, we've got an HR database. We're going to have an HR interface. We're going to have HR tools and an HR dashboard. No, that's going away. Okay. If you abstract everything to questions and everything to algorithms, the question is something like how happy are our employees?
Video description
The company is a system: a graph of algorithms and workflows. AI is the engine running this graph, transforming industries into use cases within its container. #AI #BusinessOperations #FutureOfWork #DigitalTransformation #Algorithms