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The real skill today is learning how to guide AI without losing context.

What Ayurveda was preaching since ages, now modern medicine is re casting with scientific terms

Great point. The current system already sees benefits concentrated amongst the few. Scaling this system would only accelerate the current imbalance. The work is to define value, before driving scale

The hard part was never typing code. It was always knowing what to build.

People expect magic from AI, but the real power comes from the workflow behind it.

The truth exists. Every religion has books full of truth and people who don’t actually apply it. The Sermon on the Mount is a systems lesson. Jesus focused far more on how people live than on institutional status. Whatever your tradition, leaders should be judged by the fruit they produce, not the titles they hold. If Pope Leo XIV keeps human dignity at the center of the AI debate, that’s a conversation worth having.

The autophagy and BDNF connections are where the most interesting research is heading. Good reminder that fasting isn't one-size-fits-all — context and guidance matter.

Current AI systems are more “cultivated” than “built,” for developers do not directly design every detail, but instead create a framework within which the intelligence “grows.

Clara thank you for putting back the church in the middle of the village - a French expression : remettre l’église au milieu du village. No one has indeed has had the time to carefully read the entire document, understand it and digest it. Obviously this is not written by the pope himself. I wonder who is behind this and for how long have they been working on such document to be published.

They had it coming

Philip Bell

I fundamentally believe that AI cannot drive the growth companies expect by removing human work force. However, it can definitely be a force multiplier for people and companies who learns to work with it. I think doing this will save more money for businesses than the tangible /Intangible benefits of replacing humans with AI and sharing some direct benefits companies will have. 1. Reduced OpEx because it makes teams 10x productive and efficient 2. More time/bandwidth/headspace for teams to focus on things where AI cannot be trusted or used. 3. Companies save money on rework due to human errors.

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.