Browse Comments — Relevant (AI ∩ value)

The biggest AI debate is no longer about capability. It is about control, incentives, and distribution of value. Because faster systems do not automatically create fairer outcomes.

This is one of the most practical breakdowns I've seen on getting started with Claude properly. Most people treat it like a fancy Google search - type a question, get an answer, close the tab - and then wonder why they're not getting much value out of it. The real unlock is exactly what you've laid out here: context, continuity, and systems. Day 3 especially resonates with me. Teaching Claude your voice is something most people skip entirely, but it's genuinely the difference between output that sounds like you versus generic AI text. Once you build that voice file, the quality shifts dramatically. The scheduling piece on Day 6 is underrated too. There's something freeing about waking up Monday with your weekly brief already ready, your industry news already summarized. That's when AI stops feeling like a tool you use and starts feeling like infrastructure running in the background. The shift from "using AI" to "building with AI" is real, and this captures it well.

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The path is inverted. Ai should be disarming. Relational AI uplifts humanity to reduce harm’s demand.

There is absolutely no evidence for the truth for any of these claims. "Yes, AI can solve massive problems. Climate. Health. Science. Education.The capability is not the issue."

Strong explanation. Many people underestimate that enterprise AI is not just about having a good LLM. Real value is created through the combination of data access, clear processes, AI agents, and clean system integration.

"Kudos to those capable of working on complexity at such extraordinary speed." - All with GPT "assistance" i.e. prompts, summaries, copy/pasting. Magnifica Humanitas demands thorough reading i.e. at least a few days. Reading to understand that is not to be informed like reading some tourist booklet. "artificial intelligence is not merely another issue to regulate, but something that fundamentally challenges existing categories of social thought." - It is. But it's not AI that's at the centre, rather it's statistical modelling. The present day "AI" is all about statistical modelling engines not machine intelligence. Social media is centred on statistical modelling. Billboard charts are categorisation by statistics as if something topping sales chart must be good - it's not. Economy policies are driven by statistics - anyone can believe any of economists' forecasts anymore? i.e. people assimilated to numbers What Pope Leo says too is "don't treat people as numbers".

This is a stronger framing because it moves the AI conversation from capability to governance. The real inflection point isn’t whether AI can generate value. It’s how that value is distributed, who sets the rules of deployment, and what incentives shape the systems being scaled. Those structural choices tend to matter more than the technology itself.

This is one of the more brutal, honest responses that I ever heard in my life. I love AI. I'm doing a lot with it. Looking at the kind of level of investment they are doing, it's difficult to think that they are doing nothing else other than looking at exactly what they can control. I think Bernie's point is valid: transformation has a price, and who is paying is looking for control. That is simple.

Robert Studholme in my cloister/starship class I do exactly that after forcing them to read in class and argmapping in groups and restricting the domain to only a few papers they can use. And I agree that for some students that play along seem to work well and they quickly realise that good AI work is more time consuming than the old school approach. Because the helpful bit is adversarial mode and it basically asks the student to do an extra layer of work. But I have the nagging feeling that in my class they do it, in other classes they adapt it to become an anti-detection strategy. I feel a bit guilty at times I might be enabling significantly more advanced cheating strategies. It is also confusing the Academic Integrity process because a student can play dumb and say that the different confusing practices around AI, some people banning it, some people actively encouraging within guardrails like we experimented, has generated whatever cheating they are being accused off.

Most founders frame this as an AI capability discussion. It's actually a system governance layer problem. In my audits of B2B SMBs implementing AI, I consistently find a Growth Ceiling where the deployed AI tool exacerbates existing Operational Waste, costing around $10K-$30K per month in lost efficiency and re-work. The mechanism is simple: AI amplifies existing decision architecture flaws; without clear human governance over data input and output interpretation, the system automates and scales previous human biases or inefficiencies. This creates a Brand Contradiction when the AI-driven output doesn't align with the promised value, leading to customer churn in 8-12% of cases I've tracked. The problem isn't the AI's intelligence; it's the lack of friction-as-design in the human-AI loop. What's scaling isn't intelligence. It’s unexamined structural leakage.

Exactly, Jeremiah. Isolated layers can’t deliver the full value of enterprise AI.

It is the responsibility of all governments in the world to NOW care for their people to not get left behind in the AI revolution coming to all of us - by caring for maximizing equality of wealth coming from the unprecedented innovations ahead of us. If they don't, this wave will erase the wealth of the many and it will let explode the wealth of the few to incredible heights. Sadly, I do not see governments act appropriately yet, as if they did not yet get it at all. So in result of this, there will be a very hard phase for the many until the corrections have been made. Better to act now! Think about what you vote for!

Clara Hawking — Clara — your framing of governance as "a process of shared discernment" is the line I will carry from your reflection. It reframes everything. You are right to call out the speed of confident summaries. I read it on the day — Bank Holiday Monday, hottest May day in British history, dog on the balcony — and I was honest with myself: this is a first read, not a deep read. What I could do was notice what resonated. Three things did, immediately and deeply: that AI is not morally neutral, that a more moral AI is not enough if that morality is determined by a few, and that someone must always be answerable — an algorithm cannot be. Pope Leo XIV opened his encyclical with a question: are we building a new Tower of Babel, or a city where humanity can flourish together? I think that question deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board that is currently making decisions about how AI enters their organisation. Thank you for modelling what slow, serious reading looks like. I will be coming back to your reflections as mine deepen too. Magnifica Humanitas is worth reading. Whatever your faith, philosophy or practice.

Beautifully said. The point about slow reading feels essential. A document concerned with AI, truth, education, freedom, work, and social cohesion should not be metabolized at the speed of the feed. What resonates most is the framing of governance not as a static checklist, but as a process of shared discernment. That may be exactly what AI governance now requires: not only rules for systems, but institutions capable of helping us remain human while those systems reshape the conditions around us.

I agree with you that this deserves slow reading, not instant certainty dressed up as analysis. What I find especially striking is that a papal encyclical brings AI out of the usual tech-policy bubble and places it inside a much older conversation about dignity, power, truth, and what kind of beings we are becoming. The point about humaneness also makes me think about faith, in the broadest sense: the ability to live with mystery, devotion, hope, and moral responsibility beyond calculation. It is hard to imagine AI ever developing a need for faith, or the vulnerability that makes faith possible. That may be one of the sharper differences between intelligence as performance and humanity as inner life.

Last week I used ChatGPT to bake a cheesecake. Yesterday I polished my cover letter while applying for a new job. Today I’m learning German grammar using the same ChatGPT. What exactly is wrong with that? The Holy Inquisition managed to operate just fine without AI, and apparently that worked out “great” too. Is it even possible to come up with something more stupid than treating AI itself as some existential moral threat instead of just another tool humans use? And yes, I deliberately polished this comment with ChatGPT.

The deeper challenge may be that concepts such as dignity, truth, justice, and peace are not universally interpreted in identical ways across cultures, legal systems, and philosophical traditions. As AI systems become global, governance may increasingly require frameworks capable not only of defining values, but of preserving coherence between diverse interpretations of those values.

Joop Remmé Humanity has good, evil, and all of the grey in between. Remove one, and what do you have? Do you really want to control AI or allow another institution to do that?

Insightful shift in perspective. It’s vital to prioritize ethical frameworks in AI development.