My NDA on this just rolled off, so I can finally tell the story.
Three years ago I almost bought Bed Bath & Beyond out of bankruptcy. I lost by ~$2 million to https://t.co/5bMS1OcfWq
The deal that got away:
Tu confonds deux choses, et c'est exactement le piège que la French Theory a tendu.
Liberté, égalité, fraternité — égalité *de droits*, égalité *devant la loi*, égalité *de dignité*. C'est la promesse républicaine, et personne ici ne l'attaque.
Le wokisme, ce n'est pas ça. C'est l'égalitarisme des résultats. Et l'égalitarisme des résultats, contrairement à l'égalité des droits, n'est pas un élargissement de la liberté — c'est sa négation.
Quelques exemples concrets :
— San Francisco supprime les classes de maths avancées au collège pour "réduire les inégalités". Résultat : les écarts entre élèves explosent, les familles aisées prennent des cours privés, les pauvres se font enterrer. L'égalitarisme a creusé l'inégalité.
— Les politiques de discrimination positive à Harvard : étudiants admis avec des scores très en dessous de leurs camarades, taux d'échec dispropportionné, sentiment d'imposture, ressentiment généralisé. On a saboté ceux qu'on voulait aider.
— L'aide humanitaire qui distribue du riz gratuit pendant 30 ans en Afrique : effondrement des filières agricoles locales, dépendance institutionnalisée. Donner un poisson, c'est empêcher d'apprendre à pêcher.
Le wokisme ne détruit pas l'humanité dans le sens dramatique. Il fait pire : il dessert systématiquement ceux qu'il prétend protéger, et il génère du ressentiment des deux côtés — ceux qu'on infantilise et ceux qu'on culpabilise.
La fraternité républicaine dit : tu es mon égal, donc je te traite en adulte capable.
Le wokisme dit : tu es ma victime, donc je dois te protéger de toi-même.
L'un élève. L'autre infantilise. Ce n'est pas la même chose, et confondre les deux est exactement le tour de passe-passe qu'on dénonce.
Let me just double click for those of you that don’t know:
This is probably the #1 litigation law firm on the planet submitting AI hallucinated cases in a ~$8 billion bankruptcy case.
This should be a wake up call to EVERYONE.
If it can happen to them, it can happen to you!
Yesterday Meta told every US employee their computer will now record mouse clicks, keystrokes, and screenshots while they work. All of it goes into training an AI to do their job. In 30 days, 8,000 of these same employees are being laid off.
Reuters got the memo. The wording is the company's own: the recordings will be used to build "AI agents that can perform work tasks autonomously." Reuters also confirmed the May 20 date and the number, 8,000 people, exactly 10% of Meta's global workforce.
Meta is spending $115 to $135 billion on AI infrastructure this year, almost double the $72 billion it spent last year. The entire business only generated $115.8 billion in cash for all of 2025. Meta is now planning to spend more on AI in 2026 than the whole company brings in.
Part of the bill went to a company called Scale AI. Meta paid $14.3 billion for 49% of it last June, mostly to bring in CEO Alexandr Wang. Scale's whole job is to tag and clean the human-written data that AI models learn from. Meta wanted Wang because their old data supply ran dry.
The public internet is almost out of fresh material to feed these models. A group called Epoch AI ran the math and projects the world will burn through its supply of high-quality human-written text on the web somewhere between 2026 and 2032. The industry calls this the "data wall." Google and OpenAI are stuck on the same side of it.
So Meta turned inward, to the most expensive training material money can buy: their own employees doing their own jobs. Mouse movements teach the AI how to move around a screen, click by click. Keystroke logs hand it the exact shortcuts and rhythm an experienced worker uses, the muscle memory of the job. Screenshots show what a finished task should look like. The people being recorded in April are the raw material for the AI that replaces them in May.
This is not just a Meta thing. Amazon laid off 16,000 corporate workers in January. Oracle let go of up to 30,000 of its people, about 18% of the company, on March 31. The cash they saved goes toward $156 billion in AI data centers. The whole pattern across big tech is identical. Record profits and record AI spending, paired with the biggest workforce cuts since the pandemic.
The thing they are building is a software worker that opens the dashboard, reads the numbers, drafts the email, books the meeting, and never needs a coffee break. The training data for that worker is a senior Meta employee doing all of that, on Meta's payroll, one month before their last day.
This thought just hit me hard…
Left photo, my father is somewhere there and I’m not.
Right photo - I’m there but he isn’t.
Time moves forward slowly and quietly replacing us - temporary passengers on this beautiful spaceship
The entire row is alllllll yours.
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https://t.co/bzHodhQ5Y8
When are tech folk going to get that people like wasting time, it's life. They don't optimize for efficiency, they try to get by, they watch dumb stuff, they enjoy shopping. Inefficiency is another work for living and life.
Your m mean and median job isn't a software engineer in Menlo Park, it's Ashley in accounts in a not for profit in Columbus, it's Jesse , the office manager for a tool rental business in Tallahassee, they are more likely to use a Fax machine than Slack.
They quite like meetings because they like chatting, they'll use AI to make a better invite to their baby shower, not agentify their job.
These people, nor their bosses boss, aren't in a rush to build software as a side hustle, they are keen to use AI to check if their vet is overcharging them. They'd like AI to check spelling on the email to the school governor.
They don't want agentic commerce, they want AI to be in the background and make living a little less stressful
Credit card rates are governed by the National Bank Act, which lets nationally chartered banks charge interest based on the rules of their home state. That’s why so much credit card lending runs through places like Delaware and South Dakota. That setup was locked in by the 1978 Supreme Court case Marquette v. First of Omaha, which basically said banks can export their home state rate nationwide. A president can’t override that by executive order.
An executive order could tell agencies like the CFPB, OCC, FDIC, and even the Federal Reserve to study the issue, tighten supervision, or lean on banks through enforcement and exams. But without Congress changing the law, usually by amending the Truth in Lending Act or the National Bank Act itself..a hard 10% cap wouldn’t legally stick and would almost certainly get challenged in court.
That said, pressure still matters. Banks care deeply about regulatory heat and public optics. When a president is openly calling 20–30% APRs a rip off, regulators start asking questions, headlines turn ugly, and banks start managing risk. You probably don’t get a clean 10% cap, but you can see behavior shift at the margins with more promo rates, lower APRs for prime customers, expanded hardship programs, fee tweaks, or quieter changes meant to avoid looking predatory.
So he’s basically setting an anchor. A simple number people instantly understand. It reframes the issue from abstract rates or monetary policy to “banks are gouging consumers,” which plays well when households are under pressure. More importantly, it signals to banks that this could become real legislation if the economy weakens and Congress feels forced to act.
So i believe this is less about the mechanics of law and more about leverage and timing. Credit cards are the most visible consumer pain point. He’s planting a flag there early. If Congress moves, he claims the win. If banks preemptively adjust, he still claims success. And if nothing changes, he still owns the narrative. That’s the real play.
I recently spoke to a marketer who ran a $40M brand with just two designers and ONE AI process:
He gave me and my team a masterclass on using AI to scale marketing and creative.
He chains 7 different tools together for: ideation, image creation, video editing, and iterating based on performance.
I paid him 6-figures to build these systems for my companies.
Now, I’m giving them away for free.
Repost + comment “GA” to get the guide in your DMs.