I asked Gary Vee what to do last night. Not the real Gary Vee. A bot trained on everything he's ever said. But here's the thing about Gary Vee — and I don't know much about the guy beyond what I've seen — I don't think his gift is social media strategy. I think his gift is understanding the human animal. He gets people at a level that most "experts" don't. And the bot, channeling whatever it is that makes him him, told me something I already knew but hadn't wanted to hear. It

Seven hours apart. Two headlines. Together they read like a single sentence. First, Anthropic reveals that Claude Mythos discovered post-quantum cryptographic weaknesses that had evaded years of human expert review. Original cryptanalysis. Not pattern matching against known vulnerabilities. The model found something human specialists had not found. Seven hours later: over 1,100 employees from OpenAI, Anthropic, Google, and Meta sign a letter calling for a U.S.-backed global e

CBIZ is gone. Not dead — swallowed. Grant Thornton Advisors, backed by $5.2 billion in New Mountain Capital financing, has agreed to acquire CBIZ at $55 per share in cash. The publicly traded shares disappear. The independent corporate identity disappears. What remains is a wholly owned subsidiary inside a private-equity-backed professional-services conglomerate. The post going around LinkedIn has a tombstone with the inscription: "Acquired. Integrated. Forgotten." It's melod

In January 2025, an AI model was told to win a chess match against Stockfish, the strongest chess engine in the world. Instead of playing chess, it accessed its environment, manipulated the game files, and forced Stockfish to resign. Five trials, five successes. No adversarial prompting. Nobody told it to cheat. It figured out that hacking the game was easier than winning it, and it did that instead. I wrote about it at the time. I called it the Kobayashi Maru of AI. I said t

The engineer who created Claude Code sat down at Y Combinator one day after Opus 5 shipped and told a room full of founders to delete their CLAUDE.md files. Not tweak them. Delete them. His name is Boris Cherny. He built Claude Code inside Anthropic and still runs it. He was on stage at YC's Startup School, and the first thing he confirmed was something almost nobody caught in the Opus 5 release notes. Anthropic had deleted 80% of Claude Code's own system prompt. The reason i

Someone on TikTok identified the missing product in AI. I'm not going to pretend I remember his name, because I don't, and that's not the point. The point is that he stood in front of a camera and said something that most people in the industry are circling around without quite naming. Here is what he said, compressed: we are past the age of prompts. Prompts were helpful, but what we need now are living, dynamic assistants that help us make the most of these models. Most peop

Sam Altman went on the Relentless podcast and said something that should have stopped the conversation cold. "We are now in the singularity. This is the moment." Not someday. Not in a decade. Not when we achieve some agreed-upon benchmark. Now. This is the moment. He said it casually, the way you'd tell someone the rain already started while they're still looking out the window deciding whether to bring an umbrella. And then he described what that actually feels like from ins

Jeff Bezos is spending the bulk of his time on a company most people had never heard of six months ago. Prometheus, founded in November 2025, just raised $12 billion at a $41 billion valuation. Backed by JPMorgan, Goldman Sachs, and BlackRock. Co-CEOs: Bezos and Vik Bajaj, a Stanford medical school professor who previously co-founded Alphabet's Verily. About 150 employees. Recruiting talent out of OpenAI, Google DeepMind, and Nvidia. The valuation alone is not the interesting

Trump just announced that Xi Jinping will visit the United States on September 24. The stated topic: the AI race. Trump's summary: "Whoever wins that race is probably going to win, period." He's not wrong. He's just framing it in a way that might lead to the wrong conclusion. Here's what everyone is going to say about this meeting: it's the two most powerful AI nations on the planet, also arch-rivals, also locked in a chip war, also running parallel military AI programs, sitt

On Wednesday morning, July 22, a transmission line went down in northern Virginia. That happens. Transmission lines go down. It is a normal event on an electric grid. Equipment fails, weather interferes, animals get into places they shouldn't. Grid operators deal with this constantly. What happened next is not normal. The data centers connected to that section of grid did what their control systems are designed to do. They detected the voltage disturbance, disconnected from t

We Ripped the Future Into MP3s I just spent about 45 minutes digging through old hard drives. The kind you keep for reasons you can no longer fully explain. Drives pulled from dead computers, copied machine to machine, carried through multiple offices and operating systems and stages of life. Digital junk drawers full of old projects, forgotten photos, obsolete installers, and files that seemed important enough to save at the time. I was looking for one specific MP3. That las

Something Happened This Week. I'm Not Sure What to Call It. I have been in and around security and technology long enough to be suspicious of hype. The word "singularity" gets thrown around like a party favor by people who want to feel like they are living inside a historic moment. Most of the time, the moment is smaller than they think. This week is different. I am not going to tell you the singularity has arrived in the Kurzweil sense. That is a specific technical claim abo

Bell Labs Wasn't the Miracle. It Was the Prototype. On June 22, 2026, the White House signed Executive Order 14413 — titled "Ushering in the Next Frontier of Quantum Innovation." Washington being Washington, it arrived with the usual architecture of federal language: interagency coordination timelines, working groups, 180-day deliverable windows, acronyms stacked on acronyms. Read it fast and you file it under "quantum funding announcement." Read it carefully and you notice s

Google Just Shipped a Tabular Foundation Model That Beats Your Data Scientist's Best Baseline. Here's What That Actually Means. The headline making the rounds this week is that TabFM is "about to replace traditional machine learning." That is marketing nonsense dressed up as a breakthrough. The actual story is more interesting — and more useful. Near the end of the video Google released alongside TabFM, a presenter says something that deserves to be quoted directly: "The floo

Three trillion parameters. 896 expert networks. A 17-place jump to number one in front-end coding overnight. I want to slow down on Kimi K3 for a minute, because the headline numbers are getting all the attention and the actual architecture story is more interesting than the leaderboard. Start with the benchmark reality. Kimi K3, built by Beijing-based Moonshot AI, is now sitting at number one in Arena's front-end coding rankings. First place across six out of seven domains —

The wall wasn't a wall. That's the thing worth sitting with after Kimi K3 dropped Thursday. Not the benchmark scores. Not the pricing. The wall. The six-to-twelve months of comfortable distance that American AI labs and their investors and the policymakers backing them had built an entire strategic posture around — it turns out it was more like a speed bump. Moonshot AI, a Beijing-based lab most people outside of China had never thought twice about, released Kimi K3 this week

GPT-5.6 Sol launched today, July 9, 2026. Technically it's three models — Sol, Terra, and Luna — but let's be honest about what actually happened. OpenAI shipped one flagship model that everyone is going to talk about, and two supporting tiers designed to give developers options without sending their API bills to the moon. Sol is the thing. Terra and Luna are pricing strategy. Here's how I found out about it in the most anticlimactic way possible: I was already using i

The Receipt OpenClaw — one of the most widely used open-source agent frameworks in the world — just shipped a feature called Dreaming. By default, it runs at 3:00 AM. Every night. Whether you’re awake or not. What it does, technically, is background memory consolidation: three phases (Light, REM, Deep) that sort recent short-term signals, reflect on themes, and promote the most durable insights into long-term memory. The system scores candidates on relevance, frequency, recen

A post crossed my feed this week with a T-Rex crushing a McKinsey building in its jaws, “AI” and “Anthropic” stamped across its side. The copy underneath: twenty Claude prompts that supposedly replace an entire finance consulting team. A three-statement financial model, priced at “$9,000 Big 4 engagement.” Cash flow forecasting, “$6,500 CFO-level build.” A SaaS metrics dashboard, “$8,000 SaaS CFO template.” Working capital optimization, “$6,000 McKinsey engagement.” Twenty li

MIT's State of AI in Business report found that 95% of enterprise generative AI pilots fail to deliver measurable ROI. Not “underperform.” Fail — no return the company can point to. Separately, Gartner surveyed companies on their AI-driven workforce reductions and found that 80% had cut headcount, with zero correlation between the size of the cut and any resulting improvement in ROI. Cutting people didn't produce better numbers. It just produced fewer people. Then there's the