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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Strangely I do think Musk thinks along these reasons.
Agreed
Yeah Bernie…like you. It’s easy to talk bad about the rich, but it’s easy to point the fingers when you have 4 homes and one of them on lake front property!
Thanks for emphasizing "a process of shared discernment.” In that context, it is valuable to share one's inklings early and often while recognizing that it will take many reads over time and over iterative interactings with others about one's evolving sensemaking. Some of the reactions to one's inklings will be humbling. Humility is a point of discernment that confront the reality of the world and other people's perceptions of it.
Shared discernment is both aspirational and trajectorial. The point is development of more than the self. The more existentially meaningful context and purpose of development is the flourishing of I-Thou. An important implication in my early reads of the encyclical is that shared discernment is not simply a context for generative AI, that is, something human to keep it honest. Generative AI can be brought into the process of shared discernment.
Discernment with generative AI would not be simply about making generative AI more human. It would about helping us be more human.
https://www.linkedin.com/pulse/real-promise-generative-ai-better-answers-shared-gary-riccio-ph-d--2zlae/?trackingId=KxwStbVBaNAJRcaP2rMItA%3D%3D
I have been doing intermittent fasting for over a year and sometimes go 24-48 hours without food. I have lost a lot of weight and now can't eat more than half of what I used to eat. I assume my stomach has shrunk due intermittent fasting.
Strong framing. AI does not automatically create better outcomes. It amplifies the incentives, ownership structures, and decision systems around it.
That is why “what can AI do?” is often the shallow question. The deeper question is: who controls the workflow, who captures the productivity gain, and what decisions become faster, cheaper, or more centralized because of it?
The technology is powerful, but the operating model decides who benefits.
Capitalism built it. Capitalism controls it. That's not cynicism, that's the architectre.
Shareholder serving systems don't optimize for fairness. They optimize for predictability and control. That's not a bug in the model. It's the model.
What I keep telling people: stop debating the macro and go micro. Study specific problems. Build specific solutions. Create real value in a real niche.
Depth is the only defensible moat. It always has been.
Justin This is such an important distinction because emotional intelligence is often misunderstood as simply being “nice” or agreeable. In reality, some of the strongest leaders are the ones who can stay grounded under pressure, communicate honestly, and create environments where people feel respected and heard. I’ve noticed that EQ quietly shapes trust, collaboration, and decision making in ways technical skills alone cannot. The ability to regulate yourself while understanding others becomes a real competitive advantage over time.
Work is not only income. It is structure, dignity, contribution and purpose. That is the part of this conversation most people skip straight past. Removing people from production without redesigning participation is not a prosperity story. It is an identity crisis at scale.
The real AI debate was never primarily about technology.It has always been about power, ownership, and who gets to shape the future for everyone else.
This is a radical proposition. Shared discernment with AI might seem like a lofty or abstract aspiration. But it is immediately actionable if one is willing to develop the skill of using it that way though deliberate practice. This requires taking the time to do so.
Time and the implicate patience may seem like the antithesis of the motivation to use generative AI, but that interpretation is a failure of intertemporal reasoning (e.g., an example of hyperbolic discounting of the relative utility of future outcomes).
Developing the capacity for shared discernment with generative AI involves developing your AI thought partner to be a participant in discernment and doing so through use rather than through code per se. As one matures this capacity, that development will become increasingly architectural, but more like designing a workforce than what most people typically think of as computer architecture.
The journey awaits us...
"114. The quality of a civilization is measured not by the power of its means, but by the care it is able to offer, by its ability to recognize the other as a face not merely as a function"
Most people want shortcuts, but good software still needs careful iteration.
This parallels what we see in surgery and rehabilitation. The outcome is rarely determined by one decision alone, but by consistent evaluation, adjustment, and attention to small details throughout the process.
AI helps move faster, but it does not replace careful thinking.
but it the same as everyone else is doing. but for sure far better than 99% of the general public. that's the problem.
This post explains why good prompting alone is not enough anymore.
Haider A. The difference really is the thinking part.
Stefano M. Sinicropi, MD absolutely 100%. It’s the clinicians work that makes the real difference.
Shivendrika s. Ultimately there are no shortcuts in life.