Browse Comments — Raw (as collected)

https://worldvipnet.com/princely-foundation/the-system-of-consciousness-overview-and-objectives.html

I made an Easter video using AI. Then afterwords. METAAI said I could not use religious anything to make video. Have seen others make video on religious stories. Remarkable interesting.

Demis, your Axios comment that society may have only a few years to prepare for AGI is exactly why I launched the AI Pledge for Humanity. You said economists are not taking this seriously enough. One who has is Vernon L. Smith, Nobel Laureate in Economics, who signed alongside Andrew Yang, Dustin Moskovitz, Martin Ford, Moshe Vardi, Guy Standing, and others. If AGI may arrive by 2029 or 2030, then preparation has to start now. A personal commitment from you toward an AI dividend would help make clear that this is not abstract futurism. It is urgent economic preparation.https://actionnetwork.org/petitions/the-ai-pledge-for-humanity

An atheist and a Pontiff, both pontificating about AI. AI equalizes them both; each must speculate beyond certainty. In a strange way, AI has become a secular cathedral, drawing theologians, philosophers, technocrats, skeptics, and prophets into the same room/conversation..

Matthew Kilkenny, Thank you for keeping us updated on the latest AI landscape, my brother. I applaud you for continued dedication and commitment. Keep up the great work.

Getting more expensive and not up to the same human level - not at all. I hope now everybody will realize that Humans will do better with the help of AI, instead of AI replacing humans. Humans first

Corporations want ai to work so they can lay-off the whole team, eliminating any class contributing to the economy, this is pandora's box

I created a video related to this topic. 10 Minutes with AI Might Damage Your Brain https://www.youtube.com/watch?v=B4Jw4Tb2mAk

With new technology there will be good and not so good outcomes. Take for example Ms Excel, when it was introduced, many book keepers lost their jobs. Eventually other persons embraced the new technology and became proficient in the use of it and overtime those who got onboard with the new technology were able to obtain new roles in organizations and were able to increase their productivity. With AI, we need to embraced it for what it is and use it to enhance the way we work and innovate. Let us see how much of the positive we can derive from the use of AI and control/manage the negative that it will also bring.

Highly appreciative of your efforts👍👍

it’s a multiplier, not a replacement. And, if you don’t monitor or supervise the purpose and usage, you will always get a suprise end of every month.

Interesting perspective SAURABH SINGH. This is a good reminder that technology adoption and economic viability are not always the same thing. AI can dramatically increase leverage in the right workflows, but scaling usage without clear ROI, governance, and operational discipline can quickly turn efficiency gains into cost inflation. The long-term winners will likely be the companies that treat AI as a strategic multiplier for human capability — not simply as a replacement strategy.

What is happening right now is historically unprecedented: Religious institutions are beginning to collide with AI governance, not because they suddenly became “technical,” but because they intuitively recognize that intelligence without moral continuity destabilizes civilization itself. The Church spent centuries asking: “What governs human power?” AI forces the same question again at machine speed. And this is the deeper layer most people still miss: Ethics that cannot propagate operationally become symbolic. Governance that cannot execute at system speed becomes theater. That is why the conversation is shifting from: “Can AI think?” Toward: “How do humans preserve accountable continuity once autonomous systems begin acting faster than human deliberation?” The real future battle is not model vs model. It is latency between consequence and human oversight.

Fascinating case. What I find especially important here is that the conversation around AI adoption should probably move beyond the usual “robots replacing humans” frame. Autonomous agents in government operations are not only a technology story. They raise a much broader question: what role will be left for human judgment, responsibility, trust, and public accountability when execution becomes increasingly automated? Maybe I am in my own information bubble, but I see a lot of news about AI implementation as replacement, automation, acceleration. I see much less public discussion about what this means for people, institutions, labor markets, social trust, and the future role of human expertise — especially from political and institutional leaders driving these transformations. For me, this is where the real strategic conversation begins. Not only how much AI can execute. But what kind of human role we are designing around it.

What’s fascinating is watching defense, finance, enterprise AI, and even the Vatican independently converge on the same realization: The bottleneck is no longer intelligence. It is governance latency. That “~200ms” line matters because it exposes the real fracture: human moral deliberation evolved for biological time, while autonomous systems now propagate consequences at machine time. Different industries. Different language. Same topology. Ethics, AI governance, accountability, trust, escalation paths, sovereignty, data continuity, explainability — all converging toward the same underlying requirement: A continuity substrate capable of preserving coherent human oversight at machine speed. The future winners won’t simply be the fastest systems. They’ll be the systems that remain coherent under acceleration.

Shocking.....companies didnt do research on their budgeting, their spend, their replacement costs, their finances at all before spending. Sounds like their boards need fired for approving.

The problem isn’t that AI is expensive. The problem is most companies are layering AI on top of broken workflows and expecting magic. Giving every employee Claude access is not an AI strategy. That’s just enterprise autocomplete with a bigger cloud bill. The real shift happens when finance and operations become AI-native from the workflow layer itself: reconciliations that continuously learn, approvals that understand operational context, forecasting tied to live execution, and systems that compound intelligence over time. That’s the direction we’re thinking about deeply at FinoLusion AI. Otherwise companies are just burning tokens to accelerate the same inefficiencies they already had.

Our competitors cannot rebuild our product within 48 hours with Claude Code, because Claude Code will not manage their servers and they will run out of money in 1 day.

Created this app for tracking the progress of fasting! https://lankanam-fasting-tracker-58857523292.asia-southeast1.run.app

Love this Kristof Schoenaerts! Thanks for bringing actual expertise and data to a comments section that is so far gone it's laughable.