Behemoth Droppings

The Negro Hunter ✊🏿🦍

A cat fell from a stadium roof and was caught by a fan flag. Best use of team merchandise ever 👏

@CravenCoetzee @realBigBrainAI Disagree. ai will gradually get better and probably has already. It will get to a point where it will be perfect and flawless at coding. I was a web designer in the early 2000’s. I am using claude, currently don’t plan on re learning.

Relax everyone- With a hallucination rate of 3% to 27% and a technology that doesn’t scale on size increase, that costs more on tokens than a human, after the reputation damage from errors, the great rehiring will be inevitable. With current tech, there will never be AGI. AI is limited purpose. Very limited purpose.

Former U.S. presidential candidate Andrew Yang on why "learn to code" went from the safest career advice to the worst in just 4 years: Yang recently returned from an AI conference out west and what he heard alarmed him. "They said to me that what we're going to see in the next 6 months outstrips what we've seen in the last 10 years cuz the rate of change is on a hockey stick and heading up. And I got to say I'm pretty up to date on this stuff and it blew my mind on some of the stuff I was seeing." One example stuck with @AndrewYang. "There was one company that is selling autonomous coding for enterprises to big businesses and their revenue is up 100-fold in the last 12 months." The implication is significant: "If that continues, it's going to eat a lot of the tech budgets from major corporates that used to go to humans. And so you're seeing the employment of recent computer science graduates fall off a cliff from a lot of programs." Yang points out the irony of how quickly the advice has flipped: "If you rewind what 4 years ago, what would we tell young people for a secure career, learn to code? And now the opposite of that is true." On where this is heading long term, Yang cites Anthropic's CEO: "Dario Amodei, the CEO of Anthropic, laid it out very clearly and he's been doing so repeatedly, saying we're going to automate away up to 50% of entry-level white collar jobs in the next several years. And I believe him." His reasoning for why entry-level roles get hit first is blunt: "The easiest people to fire are the people you haven't hired yet, which again is why you see the hiring of recent college graduates heading down." And the data backs it up: "The underemployment rate over 50%, the unemployment rate among college graduates is now the same or higher than non-college graduates for the first time in history."

The Government should go after people shorting $DXYZ and just shorting in general

@alifarhat79 You check the landscape there?

Trump threatening Iran for weeks

If there have been dictators in the past there will be dictators in the future. If it can happen, it will happen. Most would agree. The anti christ looks to be a future world dictator. m.youtube.com/watch?v=tFRBi9…

This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each. He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message. No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key. And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly. 7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month. All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks. And here is the system prompt he put into the orchestrator before launch: "You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes. sub-agents: // Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings) // Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words) // Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap) // Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom) // Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors) // Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending) // Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go). You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%." Meaning the system knows what it is and within what boundaries it is allowed to act. It knows it is supposed to find leads on its own. It knows it is supposed to take each one to a mockup, video, and cold message without intervention. It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging. → The system runs 24 hours a day → Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue → Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day → Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads → Filmer renders a 10-second vertical video in Higgsfield for each one → Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14% → Checker runs every message through evals before sending And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner. And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call. Here is what the system writes in his log during 1 of the Saturdays: "scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser." "pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer." "builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield." "eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review." He has no server of his own and no separate backend. Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone. Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.

Elon Musk just used a joke to perform an autopsy on the American economy. Two economists go for a hike. They find a pile of shit. One pays the other $100 to eat it. They keep walking. Find another pile. The second economist pays $100 back to eat that one. They stop. Neither man gained a dollar. Both ate shit for nothing. But on paper they just generated $200 in GDP. Musk: “That basically would count as a job. This is to illustrate the absurdity of economics.” That is not a punchline. That is the operating system of the federal government. Every time a politician celebrates “record job creation” this is what they are describing. Not output. Not value. Not progress. Motion. The entire bureaucratic machine exists to manufacture friction and then invoice for it. Compliance layers built to justify the next compliance layer. Oversight committees that produce nothing but the need for more oversight. Consulting firms hired to audit the work of other consulting firms. Trillions circulating through systems that have never produced a single thing you can hold in your hands. But the GDP number ticks up. So everyone applauds. The shit gets eaten. The scoreboard moves. Nobody asks what actually got built. This is why Washington treats AI like a five alarm fire. AI does not play the friction game. It does not form a committee. It does not schedule a review. It does not file 400 pages of paperwork no one will ever read. It just solves the problem. And that is the one thing the machine cannot survive. The government does not tax results. It taxes the process. The longer the process, the deeper the cut. AI compresses a ten day workflow into seconds. There is nothing left to bill. Nothing left to tax. Nothing left to skim. So they will spend the next decade warning you that AI threatens the economy. What they will never say is what it actually threatens. The illusion that activity equals progress. The $200 economy where both men ate shit and called it a job. The machines are not coming for your purpose. They are coming to prove that half the economy never had one.

@EvanLuthra So going to businesses and offering to redesign their websites is one way to the $?

Mark Cuban sold Broadcast dot com to Yahoo for $5.7 billion in 1999. He spotted the internet wealth transfer before most people had email. This time he quietly called the next one. “33 million companies in this country. No AI budgets. No AI experts.” Read that twice. He’s not talking about startups. He’s talking about the dentist with three locations. The freight broker in Memphis. The family manufacturer running on spreadsheets from 2011. They’ve heard of ChatGPT. That’s where it ends. For twenty years, software worked like a landlord. One product, millions of tenants, everyone pays rent and nobody gets to move the walls. AI flips the lease. The product can finally shape itself around the business instead of the other way around. Which opens a door nobody is talking about. Someone has to walk into these 33 million companies and do the work. Sit across from a 62-year-old owner, understand how his invoices move, hand him back a system that saves him 15 hours a week. That person is not going to come from OpenAI. Every smart 22-year-old right now is sprinting toward the same five labs. Cuban is pointing at the empty chairs in every other room. Here’s the arbitrage: you don’t need to train a model. You need to know one industry cold and speak fluent AI. The last time this setup existed was 1999. Every small business needed a website and almost nobody local knew how to build one. The operators who figured out dentists, restaurants, and contractors built agencies that printed money for a decade. This time the ceiling is ten times higher. 33 million companies. A handful of people who can help them. The math does the rest. Cuban saw the gap first. Whoever moves next owns the decade.

@elonmusk Needs to have an Islam filter applied to who can leave earth when the time comes. Let them Nuke themselves to death

Yes

The former Google CEO just dropped a terrifying Al timeline.

@dom_lucre Odd? How many old satellites and rock are floating around out there?

🔥🚨BREAKING: Footage of what appears to be 4 comets that have been spotted in 4 different continents including America has been released. This really feels odd.

@ShooterMcDadden @TheOnlyDSC No…..it’s about race. Data proves it.

@TheOnlyDSC This ain’t about race. It’s about culture.

Watching footage from spring break 40 years ago compared to nowadays is so depressing.😖😭

What is feels like when the government comes to "help" you 👇

@cgtwts @grok can claudecode do this?

This guy just built a real-time global intelligence dashboard and open sourced it for free. >You can now monitor the war >It tracks conflicts, military activity, infrastructure, protests, and market signals live. >Runs in your browser >MIT licensed.

#iran pjmedia.com/matt-margolis/…

Wow it’s crazy in downtown dc right now as hundreds of Persians descend on the White House to celebrate the ouster of the Iranian Islamic regime

@ElectionWiz 🇺🇸 islam sucks

BREAKING: Video shows huge number of U.S. Tomahawk cruise missiles flying over Iraq toward Iran

@jacksonhinkle You’re d@mb

While Trump is attacking Iran, this is what Los Angeles looks like.