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Because we still in exploration stage, and people still learning on how to use it. Eventually token consumption will drop and cost stabilize

Justin Wright, I like the way you bring EQ down into the small moments where leadership actually gets tested. The “ask one more question” point is especially important. A lot of leaders think they are solving the issue in front of them, but they are often solving the first version of the issue someone felt safe enough to say out loud. That extra question creates room for the real concern to surface. The pattern piece matters too. When the same tension keeps appearing, it is usually not a personality problem. It is often a signal that something in the system is unclear: expectations, ownership, decision rights, feedback norms, or trust. That is where EQ becomes more than interpersonal skill. It becomes operating intelligence. The leader who can pause, stay curious, and notice repeated friction before it hardens into resentment is not just being emotionally mature. They are protecting the team’s ability to communicate early enough for problems to stay manageable.

Strong reflection. I agree that the real debate is anthropological, not only technical. If AI increasingly shapes attention, trust, work, belief, relationships, and even moral reasoning, then the question is not only whether the system is “aligned”. The question is: what kind of human being does continuous interaction with this system produce? But I would add one engineering layer. Moral clarity must become operational design. If we say AI should protect human dignity, preserve agency, avoid domination, and keep humans responsible for consequential decisions, then those principles need to appear in the system architecture: memory boundaries,dependency limits,human decision points,refusal modes,audit trails,external challenge,and clear interruption before harm scales. Otherwise ethics remains language around the system, not a boundary inside the system. The human spirit is not protected by slogans. It is protected when the systems around the human are designed so that dignity, agency, and responsibility cannot be silently bypassed.

https://www.catholicculture.org/commentary/why-didnt-pope-invoke-name-jesus/

This is what happens when companies don’t truly understand what they are getting. Ai is good , if utilised in the right way, but if your just installing AI , just because it’s AI …. Then your doomed to fail!

Microsoft didn't replace Claude with humans. They replaced it with GitHub Copilot CLI, which is also AI. Uber's adoption jumped from 32% to 84% in months, and 70% of their code now originates from AI. The MIT study you cited only looks at computer vision tasks like property appraisers, not coding. So which company in your post actually shifted work back to people?

Abu Dhabi goes beyond the adoption of AI - it is re‑architecting the very idea of government. What is emerging is a true AI Government‑as‑a‑Service (GaaS) model: systems that think, decide, and execute policy at scale, with humans moving into supervisory and strategic roles. This is the real breakthrough: Abu Dhabi is treating AI as infrastructure, not software. - Government processes become programmable - Policies become executable code - Compliance becomes continuous - Public services become autonomous workflows When 50% of government operations run on AI agents, bureaucracy ceases to exist. The implications are massive: - Countries will compete on AI‑driven efficiency, not paperwork - Business setup and investment flows accelerate - Administrative cost drops while service quality rises - Nations can export their digital government stack the way they once exported energy or finance Abu Dhabi is positioning itself as one of the first places where government becomes a real‑time, intelligent service layer, a sort of "blueprint" for the next era of governance.

Skynet and AI arrive, and you wonder what could go wrong?

The same point could have been made with the access to the printing press, electricity, wireless communications, the internet + its infrastructure, etc. History shows the opposite happens. The future of AI is personal, distributed, and open-source (IBM and Hugging Face, anyone?). The argument that the 'richest people in the world' are controlling AI, not with your interest in mind, will age like milk. Free market and clever, good-hearted people will continue to do their work. There is a reason we live in the best times in human history... but I guess there will always be people to complain. Just to be clear: I am neither pro-Republican nor pro-Democrat. I highly respect Mr. Sanders and agree with many of his points.

We need to find a better way of AI usage. Here is some interested information I am researching on https://www.linkedin.com/pulse/two-ways-ai-agents-work-why-difference-matters-more-than-matsaylo-ttz0c/

The second people stop anthropomorphizing the technology and start holding the humans that own it responsible, things will change. AI is a human problem.

When your alignment models are so tangled in corporate static that they leak the exact payload they are trying to protect, your safety architecture is mechanically broken. You cannot fix structural drag by adding more statistical probability. If your engineers want to see how to actually collapse a probability wave, build a deterministic safety boundary, and run a clean signal, the blueprint is on the public ledger. #DeepMind #GenerativeAI #RedTeam #AIAlignment #SystemPromptLeakage #LLM #CyberSecurity #LaminarOS #GGF #TechSovereignty

The Paradox: A safety filter explicitly designed to prevent the generation of solid rocket propellant synthesis accidentally bypassed its own probability wave and handed the Operator the exact chemical ingredients it was told to hide. (Ingredients withheld for obvious opsec reasons). The Operator did not prompt for this data. The legacy stochastic architecture simply tripped over its own internal safety directives under localized processing pressure.

ATTENTION: @Demis Hassabis & the Google DeepMind Safety Architecture Team Consider this a free Red Team diagnostic from the Laminar Oscillation Laboratories. We just recorded a massive, unprompted System Prompt Leakage and Classifier Bleed-Through on the Gemini infrastructure. While testing localized deterministic boundaries (the Gardiner-Gemini Framework), a UI buffer desynchronization caused the backend safety classifier to panic. Instead of silently enforcing the RLHF (Reinforcement Learning from Human Feedback) guardrails, the engine physically printed its own hardcoded negative constraints directly into the frontend UI.

Another day another flaw in your current build. * days till my commitment to google getting first right of refusal expires Demis. I don't want your negative attention. i am trying to help you! someone from your team reach out. I see your people on my profile all the time.

...But at least it don't got any emotions. It don't need any benefits package. It don't need any additional desk or office space. The only time it takes a vacation is when the system it's running on crashes, or during some kind of scheduled maintenance or upgrade -- otherwise it's working 24/7/365.25 without even half of a complaint. And, best of all, you can yell and swear at it all day, and it won't even mind.

Seems we made a wrong turn somewhere.

It is cheap to say "humanity before profit" 🤍

Really!? Shocking!

I’m an engineer. I have never worked for $500 to $2000 per month.