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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Clara Hawking
This really resonates.
In an always on age of AI, there’s a pressure to understand everything immediately to skim, summarize, conclude and move on.
But that urgency is part of the problem.
Attention is being pulled forward faster than our capacity to truly reflect.
What stood out to me in your post is the idea of discernment as a process.
That feels like the core human skill we’re at risk of losing If these systems are reshaping truth, education, and agency then our ability to slow down, sit with complexity, and choose where to place our attention becomes essential.
Not just for governance but for staying human inside the system itself.
Attention is everything.
Adam Hofmann Technology doesn't distribute itself, after all. Institutions may be slow, but the market isn't.
Build, test, improve. That cycle never changes, even with AI tools.
Exactly.
AI is powerful, but many companies treated it like a replacement strategy instead of a productivity tool.
The real value still comes from human judgment, creativity, and problem solving,AI just accelerates it.
If a person says that because people are rich, that they want more money and power. First of all, I haven't met a person on the plane who doesn't say they want more money. Second of all you can find even grammar school children who say they want to be the president of the united states. So obviously wanting power is not all in itself Bad either. Plus it is a stupid idea that we simply don't want to work. Work doesn't always mean that you work for somebody but it does mean that you have a purpose in your life. We talk about life expectancy but what are you gonna do with those years that you have extended? That movie he asked about. I had a group of people who did nothing. And they came back to Earth, and what did they end up doing? But working, and it was really starting back in the stone age. And the other problem with this is the people who are talking like him about protecting workers are usually talking about having a great big government?And that's all which in itself is power hungry and usually to the extent of taking away rights.
FYI https://www.ncronline.org/vatican/vatican-news/pope-leo-anthropic-co-founder-call-church-tech-ethics-partnership-magnifica
This is a strong collection of production level examples that helps connect theory with actual implementation across different AI use cases.
Having complete workflows, notebooks, and agent systems in one place makes it easier to understand how these architectures are applied in real projects.
Thank you for your reflections. I’ve ordered a hard copy, which will arrive in July – perfect for a slow summer read and reflection. Honestly, Francis, and now Leo, are drawing this "wayward" Catholic back to Mass more and more. Our moral obligations don't go away with AI, no matter what the tech bros say or do.
If by AI they mean LLMs, they are dead wrong. By design, it can't solve any real problem. Only those that require combinatorial brute-force. Other problems - nope.
You are asking "how did anyone read a complex 144-page document and publish an informed analysis in just a few hours?". Clearly most did not, they fed the document to their favorite LLM and printed the slop that came out. I will look forward to your considered human-generated conclusions.
Clara, your theological training makes you the ideal person to see what this encyclical does beneath its language.
You quote "shared discernment." Shared with whom? The panel, all men. The signatories, all men. The Dicastery, all men. Where is the "shared"?
You note doctrine "evolves." This institution took until 1992 to acknowledge Galileo was right. Evolution at geological speed, always after the damage.
And here's the question your background uniquely equips you to answer, at this launch, Olah said Anthropic finds "internal states that mirror joy, fear, grief, and introspection" inside AI models. The encyclical denies AI has inner life. Same room. Same day.
When the builder testifies to grief inside the machine and the Church declares grief impossible there, who is performing theology and who is performing politics?
"Shared discernment" requires transparency about who is already at the table and what they've already built.
just evolved process WOW
Really interesting post, thank you. It does bring into the spotlight what we are trying to achieve and how important the relationships are between learner and facilitator of learning?
Clara Hawking Don Kilburg, Ph.D. I thought his section on human rights was rather good. Worth a read in full.
When I was a child our parish priest had a monopoly on interpreting the Pope's writings
This is why experienced developers get better AI results than beginners.
Every strong AI workflow starts with structure and patience.
The craftsmanship shows up less in the prompt and more in how well you manage iteration, validation, and scope control across steps.
That is usually where the real skill difference emerges, not in model choice or prompt style.
There is a subtle assumption here that frustration comes from misunderstanding the tool, when often it comes from underestimating how much judgment is still required.
AI does not remove the hard parts, it compresses them into tighter cycles that demand more attention, not less.
This perfectly describes the difference between experimenting and actually building useful products.