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5h •
🐢 The Hidden Cost of Always Choosing the Fastest AI Path
When there are multiple ways to accomplish something with AI, one faster and simpler, another slower but involving more genuine engagement, the faster option almost always wins by default. This makes intuitive sense: the whole point of adopting AI is speed and efficiency, so choosing the fastest available path on any given task feels like a straightforward application of that goal. But there's a cost to always defaulting to the fastest path that only becomes visible over a longer time horizon: the slightly slower approaches often produce learning, durable systems, or quality improvements that the fastest path skips entirely. Optimizing every single task purely for immediate speed can quietly cap how much better someone's overall AI-assisted work gets over time, even as each individual task gets handled efficiently. ------------- Context ------------- The tension here is between two different kinds of time value: the time saved on this specific task right now, and the compounding value that a slightly slower, more deliberate approach might build for every future task of a similar kind. These two values pull in different directions, and defaulting reflexively to the fastest path optimizes entirely for the first at the expense of the second. A simple example illustrates the pattern clearly. Faced with a recurring task, someone can either ask AI to just produce the output directly, which is the fastest path, or they can take a bit more time to understand why a particular approach works well, to build a reusable template or framework from the interaction, or to develop a clearer sense of what good output looks like for that task category. The first path is faster in the moment. The second path takes somewhat longer now but produces a durable asset, whether that's a template, a sharpened judgment, or a piece of genuine skill, that makes every future instance of that task faster and better than the first path alone would have produced. Across many repetitions of a task, the compounding value of the slightly slower path can dramatically exceed the value of the fastest path repeated the same number of times, even though each individual instance of the fastest path was, in isolation, more time-efficient.
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6d •
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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5d •
Keep Going. You're Building Something Bigger Than You Think.
There's a season where you're doing everything right... You're showing up. You're putting in the work. You're staying consistent. And it still feels like nothing is changing. No momentum. No big breakthrough. No proof that it's working. This is the moment that separates people. Not because the work got harder... but because they mistake a lack of results for a lack of progress. What I've learned after decades in business is this: The invisible season is where everything important gets built. Your discipline. Your resilience. Your standards. Your identity. The results come later. Success rarely announces itself while it's being built. It compounds quietly... until one day everyone calls it an overnight success. If you're in that season right now, don't quit. The work you're doing today is building the life you'll eventually be grateful you didn't give up on.
33m •
My Progress and fulfilling my purpose and destiny.
My pivotal moment was the day I mastered Marcus Arielus teachings on discipline integrity and the various types of meditation not focusing on the mountains or the Vast waves of the Sea. Learning to overcome the fear of the waves and sail the terrains of the mountains by climbing them and sailing the stormy oceans of the Sea. My followers has increased tremendously due to my strength to overcome every challenge and obstacles through Master Alchemist to transmute through setting with my own reflection of the hurt, pain betrayls and upheavals of life.
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4d •
📰 AI News: Fable 5 Extended Again to July 19 as GPT-5.6, DeepSeek V4, and a Rumored GPT-6 All Land in the Same Month 📰
📝 TL;DR 📝 Anthropic has extended Claude Fable 5's included subscription access for a second time, now through July 19, just days after a prior extension to July 12. The timing lines up with an unusually crowded frontier AI month: OpenAI's GPT-5.6 family went fully public on July 9 (with real questions about whether its flagship, Sol, gamed its own safety benchmarks), DeepSeek is set to graduate V4 out of preview in mid-July, and persistent, unconfirmed rumors suggest OpenAI may already be racing toward GPT-6. None of these are officially linked, but the pattern is hard to miss: frontier labs are moving fast enough right now that even announced deadlines aren't holding. 🧠 Overview 🧠 This is less a single news story than a snapshot of just how compressed the frontier AI release cycle has become in mid-2026. In the span of about six weeks, Anthropic launched Fable 5, had it pulled offline by a government export order, relaunched it, announced a subscription cutoff, extended that cutoff once, and has now extended it a second time. In that same window, OpenAI pushed GPT-5.6 through a government-gated preview into full public release, SpaceXAI shipped Grok 4.5, Meta entered the paid AI model business for the first time, and DeepSeek is about to graduate its V4 model out of preview status. Every one of these companies is visibly reacting to what the others are doing, and subscribers and developers are the ones living through the resulting whiplash of shifting deadlines and access terms. 📜 The Announcement 📜 Fable 5's second extension: Anthropic confirmed via its official @claudeai account on July 13 that included Fable 5 access on Pro, Max, Team, and premium Enterprise plans, originally set to end July 12, now runs through July 19, 2026 at 11:59:59 PM PT. The 50% weekly usage cap and the post-window pricing of $10 per million input tokens and $50 per million output tokens are unchanged; only the date moved, for the second time in six days. Claude Code's 50% higher weekly rate limits were extended alongside it. Anthropic has not stated a reason for either extension, though a Claude Code lead engineer has reiterated the company's stated goal of restoring Fable 5 to standard subscriptions "as soon as capacity allows," with no date attached to that commitment.
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