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🤔 WE WANT YOUR HONEST OPINION!
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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⚖️ You're Saving Time With AI. So Where Is It Going?
Research published in early 2026 found that the average small business worker saves 5.6 hours per week using AI tools, with managers saving closer to 7 hours. Those are meaningful numbers. Across a year, 5.6 hours per week is over 280 hours: roughly seven full working weeks returned to professionals who use AI consistently. Most people who see those numbers nod in recognition. The time savings feel real. There's less friction on specific tasks, drafts come faster, research compresses, routine work moves quicker. And then someone asks where those 280 hours actually went, and the conversation gets complicated. ------------- Context ------------- The productivity paradox of AI is one of the least discussed aspects of the current wave of adoption. Time saved on tasks and felt experience of having more time are different things, and for a significant number of professionals, they're not converging the way the numbers suggest they should. The explanation isn't mysterious. Time savings don't automatically translate into felt margin unless the saved time has somewhere deliberate to go. If the work expands to fill the capacity AI creates, if new obligations emerge to absorb the recovered hours, if the time savings get distributed across thirty small tasks rather than accumulating into meaningful blocks, the felt experience of the week doesn't change even when the productivity data does. This is the absorption problem. Time savings get absorbed rather than accumulated, and the absorption is usually invisible. No single thing consumed the saved time. A hundred things each took a little. The net experience is: I'm using AI, the tasks are definitely faster, but somehow the week is just as full. A consultant described this pattern with unusual precision. She tracked her time carefully before and after adopting AI tools and found that the data confirmed the savings: about four hours per week in reduced task time. But over the same period, she had taken on two additional client projects, joined a committee she wouldn't previously have had time for, and expanded her content output to take advantage of the new production capacity. The four hours were real. They were also gone, immediately and invisibly, into expanded scope rather than into margin.
⚖️ You're Saving Time With AI. So Where Is It Going?
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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?
📰 AI News: Claude Fable 5 Is Back, With a Stricter Filter and a New Industry-Wide Jailbreak Standard 📰
📝 TL;DR 📝 Claude Fable 5 returned globally on July 1 after the US export controls that forced it offline on June 12 were lifted. It comes back with a more aggressive cybersecurity classifier, one that will flag a slightly higher share of harmless coding requests as a deliberate trade-off for blocking more genuine misuse. If a normal request gets flagged, use the feedback button rather than assuming something is wrong with your prompt. Paid plans get Fable 5 included up to 50% of weekly usage through July 7, then via usage credits. 🧠 Overview 🧠 The most powerful Claude model got pulled offline for nearly three weeks after a US government export control directive, and it is now back with real changes underneath the hood. Understanding what actually happened, and why the new version behaves slightly differently, is useful both practically (you might hit a refusal on something ordinary) and as a window into how AI safety actually gets tuned in response to real-world findings rather than theoretical ones. Anthropic's own explanation of what happened is unusually detailed and worth understanding directly, because it clarifies something that got muddled during the outage: the vulnerability behind the shutdown was not unique to Fable 5 at all. 📜 The Announcement 📜 As of July 1, Fable 5 is available globally across Claude.ai, the Claude Platform, Claude Code, and Claude Cowork. For Pro, Max, Team, and select Enterprise plans, it is included for up to 50% of weekly usage limits through July 7, after which access shifts to usage credits. Mythos 5, the less-restricted sibling model, has been restored only to a specific set of US organizations approved by the government on June 26, with broader Project Glasswing access still being negotiated. Anthropic's account of the underlying trigger is notable: Amazon researchers had found a way to prompt Fable 5 into identifying software vulnerabilities and, in one case, producing code demonstrating how to exploit one of them. But Anthropic's own testing found that less capable models, including Opus 4.8, GPT-5.5, and Kimi K2.7, could identify the exact same vulnerabilities.
📰 AI News: Claude Fable 5 Is Back, With a Stricter Filter and a New Industry-Wide Jailbreak Standard 📰
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