The East Room Compact: industry stops going it alone on super intelligence. The rename is cosmetic. The compact is the news. Two papers today. The executive order — Inaugurating the Era of Super Intelligence — tells federal agencies to say Super Intelligence instead of AI in new executive-branch documents. Same statutory definition. Sixty days to propose a law. No auditor. No town. https://www.whitehouse.gov/presidential-actions/2026/09/inaugurating-the-era-of-super-intelligence/ The governance paper is the White House Accord on Super Intelligence, Joint Commitment on Frontier Responsibilities. Trump called it “almost like a constitution” and “morally binding.” Signers in the coverage: Trump, Zuckerberg, Musk, Amodei, Pichai, Huang, Brockman. https://nypost.com/2026/09/29/us-news/trumps-morally-binding-artificial-intelligence-pledge-signed-by-tech-leaders-read-in-full/ Four layers, in the Accord’s words: internal controls on training and deployment (cyber, bio, chemical; no unintended hacking); an internal team to remediate; an independent external auditor or evaluator; an independent committee of the board of directors that receives both reports and sees issues fixed. Companies will meet regularly on standards. “Over time, it may make sense to codify these steps into laws or regulations.” Until then they are “committed to doing this.” Self-regulation plus the Department of Justice and the FBI. Speaker Johnson in the chair with the President. Amodei there because Sunday’s dinner mended a public fight. Brockman in the seat while Altman ran DevDay. Musk at the mic: jobs are going to change because of AI. Data-center towns got a verbal promise — happy, financially beneficial, popular — that is not in the one-pager. A ten-person committee and an SI czar in “three or four days” are still oral. First paragraph of governance. Not the last. The test is whether morally binding grows a consequence.

Hashtags are a small thing that quietly tells you something bigger: most founders are still managing their presence one post at a time, in their head, instead of turning what they've learned into a system. Here's what I mean. Every channel has its own unspoken rules. LinkedIn suppresses reach on posts that push people off-platform, so links belong in the first comment, not the body. Hashtags work differently on LinkedIn than they do on X — a handful of categorization tags at the end here, almost none there. None of that is complicated. It's just a set of preferences you have to remember and apply, every single time, forever. That's exactly the kind of repetitive judgment that never gets done consistently when it lives only in your head. So I recorded a short walk-through of how I actually run this inside Claude.ai, driving Radi8 directly. In it I check how I've been using hashtags, set hashtag preferences per channel, walk through my scheduled LinkedIn and X posts to add them, and turn "move the LinkedIn link into the first comment" into a standing preference so I never have to think about it again. The point isn't the tool. It's the shift underneath it. I'm not asking AI to decide what to say or how to sound — that's mine. I'm asking it to remember my rules and apply them the same way every time, so consistency stops depending on my memory on a busy Tuesday. AI amplifies the preferences, focus, and voice you feed it. It doesn't invent them. That's why the founders getting real leverage from it aren't the ones automating the most — they're the ones who got clear on their own rules first, then handed the execution off. I am the founder of Radi8, so this is me sharing the journey in public, not a pitch. Happy to point anyone who's curious in the right direction. For the founders here: how much of how you show up online lives as an actual repeatable system versus a decision you re-make from scratch every time you post?

Told 4 times, May 30, 2026 – Jul 30, 2026

Last week, I've shared that I’ve been training Claude to think more like me. The experiments that I have been doing with AI actually taught me a few things about creating values in our human work. As a result, I have developed an early process the we can use as a framework to help us navigate what we want to own and keep doing better, and what we want to get AI to assist so we can continue to do our best work. Tip : Defining What You as a Human Want to Own Ownership is about something that you choose to hold onto, take responsibility for & get better at it -- not something that you want to outsource or let AI do it for you. Before you can blend human & AI strengths, you need clarity on what you're not willing to hand off, regardless of how good the technology gets. This starts with naming the human values that define how you work. Here're some important ones: *Human judgement under ambiguity: When the data is incomplete, the client is unclear about what they want, or the situation has no precedent, someone has to make a call. That would be you. * Human empathy built over time: Consistency, follow-through & a willingness to be vulnerable with a client, these compound slowly & they can't be automated into existence. * Ethical accountability: When a campaign misfires or a strategy backfires, someone has to own it, explain it & make it right. AI doesn't carry that weight. * Human intuition in the room: The unspoken tension in a meeting, the hesitation in someone's voice, the moment a client needs reassurance instead of another uncertainty, this is a read-through emotion, not calculated from data. * Human perspectives shaped by lived experience: Your point of view is shaped by everything you've lived through. Human lived experiences bring texture that data alone can't replicate, and be honest with what they are. None of this is about resisting technology. It's about preserving and protecting the parts of you or your work that depend on human emotions & human perspectives in the first place. What's your list of human value non-negotiables when working with AI? Love to hear your comments below👇

Told 5 times, Sep 23, 2026 – Oct 3, 2026

Back in 2007 my mom wrote a book, and no one would publish it. It's called "Butterfly Girl" — the story of a little girl lost in a storm and her long journey home. She wrote it for one reader: my daughter. She wanted her granddaughter to know where she came from, in her own words. The traditional publishers all passed. A beautiful, personal story about one family's journey wasn't a big enough market for them. So I told her not to wait for anyone's permission. We'd do it ourselves. What I didn't fully understand until we were in it: self-publishing back then was brutal. Formatting, printing, distribution, ISBNs, cover files — every step was manual, expensive, and built to make you quit. We pushed through it anyway, and she held her book in her hands. That moment was the whole point. Then Christmas came. And at the table, one relative after another leaned in and said some version of the same thing: "You know, I have a book in me too. How did you do it?" That's when it clicked. The pain I'd just spent months fighting through wasn't my mom's problem. It was everyone's problem. As I put it later: "there's a million other moms out there hundred million other moms you know actually billions of people out there who think they have a book in them and will never publish so it was the business model" That became FastPencil — an online writing and publishing platform. It didn't start with a market analysis or a TAM slide. It started with one person I loved, one urgent human problem, and a Christmas dinner full of people stuck behind the exact same wall. I've come to believe this is one of the most underrated sources of a great idea: proximity. Not brainstorming what the market wants in the abstract, but solving something real for someone you actually care about — then noticing how many other people are quietly living the same frustration. The narrow, personal problem is often the universal one wearing a disguise. So here's my question for you: Is there a version of this in your own story — a problem you solved for someone close to you that turned out to be universal? 🎙️ From my conversation with Julia Lucidi on the Founder Tactics podcast. Full episode: https://youtu.be/M58Dnn2UAlM

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