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⏰ AI Made Everything Feel Urgent. Most of It Isn't.
There used to be a natural pace to work that came from the friction embedded in doing it. Drafting something took time, so a request for a draft naturally sat in a queue for a while before it could be addressed. Research took time, so a question requiring research had a built-in delay before an answer could arrive. This friction wasn't designed as a prioritization system, but it functioned as one anyway: things that required more effort naturally got triaged and sequenced, because they couldn't all happen immediately. AI has removed a significant amount of that friction, and in doing so, it's removed the informal prioritization system that used to come with it. Nearly everything can now be actioned immediately. And immediate actionability is quietly getting mistaken for immediate necessity, in a pattern that's driving a specific and underexamined form of overwhelm. ------------- Context ------------- Before AI, the time required to complete a task functioned as a natural filter on what could realistically happen right now versus what had to wait. A request that would take three hours to fulfill couldn't be actioned in the next ten minutes, regardless of how urgently it was framed, simply because the work took time. This created an implicit form of triage: things got sequenced by a combination of actual priority and practical feasibility, and the feasibility constraint did a lot of quiet work in keeping the pace of a day manageable. AI has collapsed the feasibility constraint for a huge range of tasks. A request that used to require hours can now be actioned in minutes. This is a genuine advantage in many cases. But it also means that the natural pacing mechanism that used to exist alongside the feasibility constraint is gone, and nothing has automatically replaced it. Everything that arrives now carries an implicit invitation to be handled immediately, because immediate handling is now technically possible in a way it never used to be. The psychological effect of this shift is significant and underappreciated. When something is technically actionable right now, there's a pull toward treating it as though it should be actioned right now, even when the actual priority of the task hasn't changed at all. Feasibility and urgency are different things, but in a world where almost everything has become instantly feasible, the distinction is easy to lose.
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⏰ AI Made Everything Feel Urgent. Most of It Isn't.
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OpenAI Just Rebuilt ChatGPT
OpenAI put out a ton of new stuff this week including the public release of the GPT-5.6 family of models, the new ChatGPT Work app that will be merging Codex and ChatGPT capabilities, a new voice mode, improvements to the speech-to-text dictation, and more! I break it all down for you here, enjoy! Want to save time, get more leverage, and stop figuring this AI stuff out from scratch? I put the clearest map and support inside the AI Advantage Club
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What Success Actually Buys You
Most people think success is about money. It's not. Money is just what buys you options. I've worked hard for decades. Not because I fell in love with the grind, but because I fell in love with what the work could create. Every uncomfortable conversation. Every risk. Every time I wanted to quit but didn't. None of it was just to make more. It was to own my time. To be there for the people I love. To create memories instead of regrets. To have the freedom to say yes to what matters and no to what doesn't. Don't chase success because you want to look successful. Chase it because one day you'll realize time is the only thing you can't earn back. Work hard. Do the uncomfortable things. Become the person capable of creating the life you want. Because real success isn't measured by what you own. It's measured by how fully you get to live. Question for you: If you had complete freedom over your time one year from now, what would you spend more of it doing... and who would you spend it with?
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What day of the week would you want to attend a live workshop with Igor & Dean to learn next level AI tactics & strategies?
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We want to better understand what people are TRULY trying to accomplish when it comes to AI so we can make our products better. We know it’s broad and there are so many different lanes, but if you had to pick one of the 2 options below, which one would you choose?
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