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Daniel Döderlein

For a radically different, fast, inexpensive AI architecture, see my new article "96% Correct Next Token Prediction, with No DNN, no Training, auto-distilled model", at https://mltblog.com/4urfvTB

Petro Golovko D.Sc., Ph.D. 100 % agree.

I can't wait tomorrow. It's going to be awesome. I got my ticket a week before when Google developers invited me. I am so excited to represent the AI enthusiasts in my autistic group as well as to learn more on how to develop a and work with AI I'm so excited! My friend would be proud. I miss her

What all the data you collected over the years with your Gemini go to your AGI? It would be very beneficial for its advancements.

Atiqul Basher saw this!

Great move towards AI adoption

A massive blueprint for the rest of the world to watch. 🇦🇪 Thanks for sharing Nadeem Zaman ‏نديم زمان

We frequently spend massive corporate energy designing complex wellness benefits or productivity workshops, while completely ignoring that our workforces are operating in environments designed to induce chronic cognitive fatigue. When we coach managers to encourage true disconnected recovery, protect rest boundaries, and minimize artificial urgency, we aren't just practicing wellness—we are protecting the fundamental cognitive assets that drive our business forward.

Abu Dhabi’s move toward autonomous AI agents signals a structural shift in how governments operate. This is no longer digital transformation. It is the emergence of AI‑driven execution as a core capability of the state. What stands out is the scale of alignment across infrastructure, cloud, enterprise systems and national AI capacity. This is how sovereign AI architectures are built: locally trained models, integrated data environments and hyperscale compute operating as one coordinated layer. The transition from ministries as operators to supervisors of AI systems represents a deeper redesign of public administration. Approvals become instantaneous, compliance becomes continuous and service delivery becomes system‑led rather than process‑led. As these capabilities mature, the UAE is positioning itself to export government‑as‑a‑service and set new global benchmarks for state‑level AI adoption. The competitive advantage will come from how effectively autonomous agents reshape national productivity, institutional agility and economic flow.

The integration of automated governance systems directly exposes a critical macroeconomic friction regarding the heavy reliance of virtual efficiency on material limits. As operational frameworks shift toward proprietary compute stacks traditional state structures face immediate exposure to asset fragility and intense commodity supply bottlenecks including grid capacity and rare metals. This systemic architecture introduces a hidden autonomy vacuum where process speed is countered by cross border infrastructure dependencies. Consequently at the absolute peak of technology valuation cycles institutional liquid capital is engineered to execute a major defensive pivot shifting wealth out of speculative digital layers and back into physically secured hard assets.

This is almost certainly the case in tuition-fee-based models, where students are treated primarily as paying customers. Fortunately, many institutions outside the Anglosphere don’t operate this way.

Soooo sad 😭

Why not just create your own AI that you allow students to use that trains its self only on valid information. Then they would be reading the books but in a way that makes sense! Quite frankly it’s about being able to ask a question and get a reasoned answer. Also academics can be eletist and deem books are the only way to learn … they are not and some books are just plain wrong! Our learning moves on faster than books are developed we need to move with the times and allow learning in all forms .

Daily habits really add up for brain health good food, movement, sleep, and learning all working together. Ravi Samrat Mishra

The scale and speed of what the UAE is building around Agentic AI is genuinely remarkable. What stands out most is that this is not being approached as isolated AI projects, but as a national operating model transformation supported by infrastructure, governance, sovereign cloud capability, talent development, and institutional alignment. The shift from manual administration toward AI-enabled autonomous execution could fundamentally redefine how governments deliver services, accelerate decisions, and improve operational efficiency at scale.

But equally important are less visible factors like chronic stress, emotional exhaustion, sleep deprivation, overstimulation, and lack of recovery, which can gradually erode mental clarity and cognitive capacity even in otherwise high-performing individuals. Brain health is ultimately less about isolated optimization and more about creating sustainable conditions that allow the mind to function clearly, adapt effectively, and remain resilient across changing stages of life.

This is a groundbreaking shift for government efficiency. It will set a new standard for digital transformation globally 👏

Once they secure more experience, they will appreciate that any student submission is subject to scrutiny- with any incidence of plageurism or copying noted, and students could be expelled.

If AI removes the repetitive work, the next bottleneck becomes judgment and accountability. That is where small teams get stronger, because you stop paying for layers whose main job was coordination theatre. I suspect the winners will redesign roles before they redesign org charts. What human decisions do you think businesses should refuse to automate?