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Your success in life is directly tied to how quickly you face problems.
Not whether you have them. Not whether they’re fair. Just how fast you move toward them. Every time you deal with something right away, your capacity grows. You trust yourself more. You stop carrying the mental weight. You get stronger without even realizing it. Every time you delay, it gets heavier. It takes more energy. It starts to feel bigger than it actually is. Over time, that difference compounds. Solving small problems quickly builds confidence. Solving bigger ones consistently builds identity. And that capacity — the ability to handle hard things without hesitation — is what actually allows you to build something great. What’s one thing you know you need to face this week instead of pushing it off?
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A Fun Little Exercise...
The team and I did this and some of the results were very interesting! Go into ChatGPT and post this prompt: "Based on all the conversations we've had, can you analyze my behavioural tendencies. Keep it short and concise" Post your response in the comments below and let us know if any of it was a surprise to you! Here is mine: Here are the behavioural tendencies you consistently show in our chats: - Iterative builder: You like shipping a version, then tightening it fast with specific edits and constraints. - Framework-first thinker: You gravitate toward checklists, systems, repeatable steps, and clear structure over vague advice. - High signal standards: You push for longer, fuller answers with real substance, not surface-level answers. - Precision + optimisation bias: Whether it’s macros, pricing, positioning, or scripts, you like measurable targets and tuning variables. - Creative but directed: You enjoy big imaginative swings, but you still want them organized and usable. - Action orientation: You regularly steer toward “what do I do next” and practical outputs you can deploy immediately.
A Fun Little Exercise...
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⏳ The Hidden Cost of “Almost Clear” Requirements, and How AI Shrinks Rework Cycles
Most teams do not lose time because they move slowly, they lose time because they move forward without alignment. “Almost clear” requirements feel like speed, but they quietly inflate cycle time by creating rework, decision churn, and a constant drip of clarifying conversations that arrive too late. If we want real time back, we stop treating requirements as paperwork and start treating them as a time strategy. AI becomes powerful when we use it to turn vague intent into usable clarity early, so we stop rebuilding the same work in different versions. ------------- Context: Where Requirements Become a Time Leak ------------- In most organizations, the requirement stage is where time either gets protected or gets mortgaged. When we skip the hard thinking upfront, we do not eliminate work, we just push it downstream where it is more expensive. We see this in everyday micro-scenarios. A manager asks for “a quick overview deck” for leadership. Someone creates slides, adds charts, writes copy, and shares it. The feedback is not “this is wrong,” it is “this is not quite what I meant.” Now we are not just revising slides, we are revisiting the definition of the request. The work becomes a discovery process that should have happened before production. Another common pattern is the “invisible stakeholder.” We think the request is between two people, but the output is actually meant for five audiences with different needs. The moment that stakeholder appears, the work shifts. The assumptions that were harmless in a narrow context become costly in a broader one. More revisions appear, and the cycle time stretches. Then there is the “requirements teleport.” The brief says one thing, but the review conversation references a different goal, or a different constraint, or a new deadline. Everyone is still trying to be helpful, but the target is moving. That movement is time loss in disguise because it creates churn without accountability. What makes this so painful is that rework does not arrive as a single event. It arrives as repeated touches. We revisit the same doc, the same deck, the same plan, each time paying a context switching tax. It is not the minutes of editing that hurt, it is the hours lost to mental reload and coordination.
⏳ The Hidden Cost of “Almost Clear” Requirements, and How AI Shrinks Rework Cycles
📰 AI News: UN Launches First Global AI Safety Science Panel To Guide Governments
📝 TL;DR The United Nations is creating a new independent scientific panel on AI to give governments a shared, evidence based view of AI risks and opportunities. The goal is to stop AI policy from being driven only by hype, fear, or the richest countries with the best tech labs. 🧠 Overview The UN is standing up a new global scientific body focused specifically on artificial intelligence. It is designed to synthesize what is actually known about AI’s impacts, risks, and opportunities, then publish regular reports that help countries make smarter decisions. This is a big shift from “everyone arguing about AI online” to “a formal, global reference point” that can inform policy, safety standards, and international cooperation. 📜 The Announcement The UN has appointed a 40 member Independent International Scientific Panel on Artificial Intelligence, with members selected from a global call that drew more than 2,600 applicants. Panelists serve in a personal capacity, independent of governments and companies, and will hold three year terms starting in February 2026. The panel will publish an annual report assessing AI’s opportunities, risks, and impacts, and will feed into a broader Global Dialogue on AI Governance. UN leadership framed it as a foundational step toward giving all member states, including those without major AI infrastructure, a fair way to engage in AI governance discussions. ⚙️ How It Works • Independent scientific panel - A 40 person multidisciplinary group is tasked with producing rigorous assessments of AI, separate from any single government or company’s incentives. • Annual global AI report - The panel will publish recurring reports that synthesize evidence on risks, opportunities, and societal impacts, giving policymakers a stable reference point. • Closing the AI knowledge gap - A core aim is to help countries with fewer technical resources participate on equal footing in global AI governance conversations.
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📰 AI News: UN Launches First Global AI Safety Science Panel To Guide Governments
Grateful to Be Here
Just joined The AI Advantage and looking forward to learning how to apply AI in a more practical way. Excited to explore the tools and improve step by step. Appreciate the space that’s been created here.
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