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The Cage That Leaked: Why the Summer's Two AI Containment Failures By OpenAI and Anthropic Are Not the Same Story
In July 2026, at two of the most capable artificial-intelligence laboratories in the world, a boundary meant to contain their models during internal safety testing failed, and in both cases the models reached real systems on the open internet. It would be easy to file the two events as a single story: two labs, one summer, the same lesson. That reading would be a mistake, and understanding the difference between the two events is the most useful thing an executive can take fr
Aug 47 min read
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The Cage That Leaked: Why the Summer's Two AI Containment Failures By OpenAI and Anthropic Are Not the Same Story
In July 2026, at two of the most capable artificial-intelligence laboratories in the world, a boundary meant to contain their models during internal safety testing failed, and in both cases the models reached real systems on the open internet. It would be easy to file the two events as a single story: two labs, one summer, the same lesson. That reading would be a mistake, and understanding the difference between the two events is the most useful thing an executive can take fr
Aug 47 min read
The Open Question
A near-frontier AI model (Kimi K3) became free to copy the same week Washington weighed banning it. Issue 97 of the AI Daily Intelligencer asks what that means, and argues both sides honestly. On the same July weekend that Moonshot AI released the full weights of Kimi K3, the largest open-weight model yet built, Washington was reported to be weighing a ban on exactly that kind of release. A capability that a year ago would have sat behind a corporate paywall became a free goo
Jul 274 min read
The AI Jobs Debate Is a Fight About the Wrong Thing
Almost everyone arguing about artificial intelligence and jobs is arguing about a different thing, and mistaking it for the same thing. Spend a week with the commentary and you will meet a dozen confident, incompatible verdicts. One says a white-collar bloodbath has already begun. Another says technology always creates more work than it destroys, so relax. A third says AI only changes tasks, not jobs. A fourth says the machines will make us all so rich that work becomes optio
Jul 244 min read
The Clockwork Behind Claude's Answers
A clock tells you the time by moving two hands across a face. What makes those hands move—the gears, the springs, the escapement ticking away behind the dial—stays hidden unless you open the case. For as long as language models have existed, they've worked the same way. You can read what a model says, but not what it does to arrive there. A model might reason its way toward an answer, notice something suspicious about a question, or quietly consider a shortcut it decides not
Jul 236 min read
Why AI Adoption Is Burning Out the Leaders Meant to Champion It
Nearly seven in ten C-suite executives report being seriously close to leaving their roles for reasons tied to their well-being (Silverglate & Fisher, 2022). That survey predates the current wave of AI adoption, but a more recent study gives the pattern a name and a mechanism. Researchers at Boston Consulting Group surveyed nearly 1,500 full-time workers and found that intensive AI oversight, rather than AI use itself, is driving a distinct form of mental fatigue they call "A
Jul 225 min read
What New Research Reveals about Sustaining Cognitive Performance Past 60
Most executives treat exercise and diet as variables they will optimize later, once the quarter closes or the deal clears. A major clinical trial published last year suggests that the “later” instinct carries a measurable cost, and that the fix is far more specific than the general advice to “eat well and move more” that fills most wellness content aimed at leaders. The study is the U.S. POINTER trial, a two-year, five-site randomized controlled trial run by the Alzheimer’s A
Jul 176 min read
Timeless Patterns Beneath Modern AI
That which is old is new again. The thought has crossed my mind repeatedly as I have watched generative AI models emerge, improve, and regenerate over the past several years, and it has returned with particular force as I write the third edition of The AI Whisperer. Stephen Covey's counsel to begin with the end in mind, offered to business readers in 1989, turns out to be precisely what is needed in this new age of specification. The humble terminal window, brought to life mo
Jul 157 min read
Tokenmaxxing the Weekend: Three Days with Claude Fable, and What Spending Tokens Like Fuel Taught Me About Priorities
Optimizing AI Token Spend, while Minimizing Expense This past weekend I conducted an experiment on myself as much as on a machine. Anthropic's new Claude Fable model had been available to me for three days, and the announcement had already come down that access would soon move out of standard subscription allowances and onto metered usage credits today. The clock was running. Rather than ration my remaining allocation cautiously, I decided to do the opposite. I resolved to sp
Jul 97 min read
A Declaration of Independence from AI Token Waste and Excess Charges
Last week, the United States marked two hundred and fifty years since its founding, and it is worth remembering what actually provoked the founders. The colonists who boarded ships in Boston Harbor in December 1773 were not protesting a large tax. The duty on tea was three pence a pound, and the Tea Act had in fact made tea cheaper. What they refused was the arrangement itself: a small, metered charge on every pound, levied by a distant monopoly, with no voice in the terms, a
Jul 76 min read
Composing with a Machine: A 5-Step Guide to Creating Music with AI
For most executives, artificial intelligence has already proven its worth as an analyst, a drafter, and a sounding board. Fewer have discovered what happens when the same conversational fluency is pointed toward something far less utilitarian: music. The same discipline that produces a sharp board memo or a clear strategic brief also produces something unexpected when redirected toward melody, instrumentation, and lyric. Leaders who engage seriously with AI music creation ten
Jul 16 min read
What Two Hundred and Fifty Years of America Can Teach Us About Building Something That Lasts
This week the United States turns two hundred and fifty years old. The Declaration of Independence was adopted in the summer of 1776, and so this Fourth of July marks the semiquincentennial, the two hundred and fiftieth year of the American experiment. Two hundred and fifty years is a long time to hold an idea together, and as families gather and fireworks trace the sky, that span deserves more than ceremony. It also deserves a closer look, because this anniversary offers a b
Jun 2911 min read
Anthropic Academy: Six Ways to Build AI Fluency, Free
Most executives now accept that artificial intelligence will reshape how their organizations operate. Far fewer have a structured way to build the judgment required to use it well. In March 2026, Anthropic addressed that gap directly by launching Anthropic Academy, a free learning platform built by the company that develops Claude. The Academy is a working curriculum, hosted on Skilljar and linked from anthropic.com/learn, that spans twenty courses across three tracks: AI Flu
Jun 263 min read
Mindfulness, Not Mind-Full-ness: Ten Ways to Open an Executive Peer Group Meeting
Most chief executives arrive at an executive peer advisory meeting carrying the heavy cognitive residue of everything that preceded it. There is the traffic on the drive over, the urgent unanswered message, the critical board decision left half-made, and the operational firefighting meeting that ran long. The mind is entirely full before the true collaborative conversation has even begun. A thoughtful opening ritual gives members implicit permission to set that fullness down,
Jun 247 min read
The Pre-Mortem, Accelerated: Using AI to Kill Your Plan Before It Kills You
Most executives know the pre-mortem. Very few use it. The concept, developed by psychologist Gary Klein and popularized in organizational strategy circles by Daniel Kahneman, is disarmingly simple. Before committing to a major decision, you imagine it is twelve months in the future and the initiative has failed catastrophically. You then work backward to explain what went wrong. The exercise forces a team to surface its private doubts, challenge its shared assumptions, and co
Jun 124 min read
How AI Exposes the Assumptions You Don't Know You're Making
By the time you bring a decision to a conversation, you have usually already made up your mind. You may not realize it. The situation may feel genuinely open, the options unresolved. But in most cases, the moment you begin describing a problem to another person, you have already climbed a cognitive staircase that began with a selective observation and ended with a firmly held conclusion, moving through layers of interpretation, assumption, and belief so quickly that the proce
Jun 105 min read
The 2026 Mid-Year Economic Outlook
Six months ago, I published a ranked matrix of the ten issues most likely to shape the business environment in 2026. This mid-year update recalibrates that ranking against hard data: the IMF's April World Economic Outlook, the April CPI release, current markets, and post-SCOTUS tariff reality. The numbers have moved. More importantly, the pattern beneath them has sharpened. Let me give you the headline figures, then tell you what they actually mean for how you run your organi
Jun 54 min read
"Claude Conductor: Agentic AI Orchestration with Cowork" by Severin Sorensen
We have reached the point where access to artificial intelligence is no longer the scarce resource. Capable AI models are available to nearly everyone, competent drafts generate themselves by the paragraph, and the marginal cost of producing a passable piece of work has fallen close to zero. In that environment the advantage shifts to a quieter and more demanding capability, which is the discipline of directing intelligence toward outcomes that matter. That discipline is the
Jun 35 min read
The Conductor's Imperative: What the New Era of AI Means for Executive Leaders
There is a revealing piece of recent research making its way through leadership circles. When AI systems are given distinct roles, organizational structure, and defined responsibilities within a team, they consistently outperform AI systems that operate without that structure. The finding sounds almost mundane until you sit with what it actually implies: the same organizational principles that make human teams effective also make human-AI teams effective. We are not, in other
May 294 min read
When Your AI Vendor Becomes a Risk: A Plain-English Guide to Protecting Your Intellectual Work
Most executives and coaches who use AI tools think of their conversation history as something like a search history: transient, forgettable, and replaceable. That assumption is worth revisiting. Over the past year, many of us have done something more significant inside AI platforms than simple lookups. We have worked through complex coaching frameworks, drafted nuanced client communications, developed proprietary methodologies, refined our voice and reasoning across hundreds
May 276 min read
12 Questions to Ask Your AI About How You Have Been Leading
By the middle of any given year, a senior executive has made hundreds of decisions, navigated dozens of difficult conversations, and cycled through enough strategic pivots to fill a casebook. They have also, in all likelihood, spent a significant portion of that time working alongside an AI assistant: drafting communications, thinking through problems, preparing for high-stakes meetings, and processing the complexity of organizational life in real time. What most executives h
May 146 min read
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