Browse Comments — Clean (de-noised)

Thanks for sharing Ruben Hassid !

SAURABH SINGH AI is a powerful copilot, but enterprise-level reasoning, critical thinking, understanding business context, and architecture is still a human responsibility. AI can speed up execution, but it does not reduce the mental effort.

This document deserves deep reading. Thanks for the link Clara Hawking

Really like how you explained the importance of reviewing every output carefully.

There is a new reality that we as humans need to learn how to deploy. Evolving technologies can improve the quality of human life at a population level. To reduce human suffering and improve how we live and interact both locally and globally. For example, once we accept that the tech can drive our vehicles better than humans, we stop people from dying senselessly and save (redirect) billions of dollars currently lost to property damage, insurance and legal costs. Once we realize that real time data can reinvent our health care system from remedial to preventative, again we save lives, reduce suffering and save so much cost we can provide health care to all. Our challenge is to realize that if we don't apply the technologies for good others will use them for evil and the risk is that they will have power over those who cannot (or don't) use the tech. I think many see AI as the "Sky Net" from the Terminator movie but in the end, it is just software that can be used for good or evil. If we don't ingrain morals and ethics into our overall behavior (at a population) then evil will take over whether its analog or digital. Perhaps our leaders need to be more focused on instilling morals/ethic and enforcing the law.

Wow, what a take. And to think that the executives in those meetings don't realize they are the decision. Most people are watching the macro debates, but the executives I work with are living the micro version of it.

The ability to regulate yourself under pressure and stay curious about what others are experiencing is harder to develop than most people expect, and more valuable than most people realize.

The framing of world understanding as a prerequisite for AGI is doing a lot of work here. Current agents mostly pattern-match on text; genuine world understanding requires something closer to causal reasoning about objects, physics, and time. Omni's multimodal pipeline is a step in that direction, but the distance between 'generating a new scene from video' and 'understanding why things happen' is still significant.

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.

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?