father-abraham.eth

World, Sam Altman's digital identity project, just unveiled World ID 4.0, what the company calls "full-stack proof of human" infrastructure. The partner list: Tinder, Zoom, DocuSign, Shopify, Okta, AWS, and Vercel. Altman opened by saying we're heading to a world where AI generates more content than humans. Pantera Capital says we've already crossed that threshold. World's answer is an iris-scanning device called the Orb that creates a unique cryptographic ID proving you're a real person. 18 million people across 160 countries have already verified. Tinder is rolling out "verified human" badges in the U.S. after a Japan pilot. Zoom built a feature called "Deep Face" that verifies the person on a video call isn't a deepfake. DocuSign is adding proof-of-human checks to digital signatures. Shopify is enabling verified-human commerce. The most significant announcement is AgentKit, infrastructure that lets AI agents carry cryptographic proof they're acting on behalf of a verified human. Okta built an agent delegation system on top of it. The problem World is solving is real. The question is whether a centralized iris-scanning identity layer controlled by the same person whose company helped create the problem is the right answer. Altman is the CEO of OpenAI. He built the flood. Now he's selling the ark.

BREAKING: U.S. Attorney Jeanine Pirro reveals a major takedown by the Scam Center Strike Force targeting overseas criminal organizations that have been defrauding Americans for BILLIONS of dollars: "We have charged Chinese bosses who ran a scam compound in Burma where thousands were trafficked, enslaved, beaten and then forced to steal from Americans... They were ordered to pose as U.S. banks, as the New York City Police Department, to steal Americans' life savings."

Activity for your AI-Native story is not enough in 2026

Soviet chandelier factories received production quotas measured in tons, not quality or function. Factory managers responded rationally to the incentive structure: they packed chandeliers with extra metal, concrete, and lead weights to hit their tonnage targets. The heavier the chandelier, the better their performance metrics looked to central planners in Moscow. Apartment dwellers across the USSR paid the price. Chandeliers weighing hundreds of pounds crashed through ceilings, destroying furniture and injuring families below. Reports from the 1970s and 1980s document dozens of ceiling collapses in Kiev, Leningrad, and Moscow as these industrial monstrosities proved too heavy for residential construction. Factory managers got their bonuses while citizens dodged falling light fixtures. The system worked exactly as designed. When you divorce production decisions from market prices and consumer preferences, you get perverse outcomes. Central planners measured success through crude metrics they could track from their desks, not through the satisfaction of end users. Factory managers optimized for the measurement system, not for making chandeliers that actually functioned as lighting. You see identical dynamics today wherever bureaucrats substitute their judgment for market mechanisms. Public school systems optimize for standardized test scores rather than education. Hospitals game Medicare reimbursement codes rather than focus on patient outcomes. Police departments chase arrest quotas rather than reducing crime. The Soviet chandelier problem lives on in every corner of the administrative state. The market solves the chandelier problem instantly through profit and loss. Customers refuse to buy chandeliers that destroy their homes, driving bad producers out of business and rewarding those who build functional products.

Companies figured out they don't need AI to automate jobs. They just need employees to think AI will. • You're working 60-hour weeks to stay competitive • Taking on extra projects to prove your value • Learning new skills on weekends for free • All while they pocket the productivity gains They're not replacing you. You're doing it for them.

HR: "What's your salary expectation " Candidate: $8,000 to 10,000 a month. HR: You are the best-fit for the role but I'm afraid we can't afford you. Candidate: Okay. $7,000 would be fine. HR: How soon can you start? Meanwhile the budget for that particular role is $15,000. HR feels like they did a great job in salary negotiation and management will be happy they cut cost for the organisation. The new employee starts and notices the pay disparity. Guess what happens? Dissatisfaction. Disengagement. Disloyalty. Two months later, the employee leaves the organization for a better job. The recruitment process starts all over again. Leading to further costs and performance gaps within the team and organisation. 70% of my candidates are going through same thing- and they deserve way better! In order to attract and retain top talent, please pay people what they are worth.