No entrepreneur is worried about AI taking their job.

there's a legendary copywriter that would walk into a room full of MBA types and he'd ask them a simple question something like "you're opening a hamburger stand - what's your one advantage?" everyone would yell out things like "local grass fed beef" "super secret recipe" "cheap and fast" "great location" Gary Halbert would tell them they're all wrong. He told them they need one thing. A STARVING CROWD. if people are hungry enough, you're sold out by noon. No need for a 12 step funnel, A/B testing, etc. Just supply & demand.

Struggling to write? Start with voice notes Talk for 60 seconds about one idea Transcribe it Edit out the fluff and post

Anyone else starting to get AI-fatigue and craving human writing?

If your first email ended in @ yahoo, @ hotmail, or @ msn… you have seniority on the internet.

We’re starting to split the internet in two. One world still speaks with a human voice—messy, creative, unpredictable. The other is a sealed echo chamber where machines learn from their own synthetic leftovers. The walls are going up fast. Publishers are blocking crawlers. Artists, journalists, and creators are fencing off their work. And for good reason: no one wants their voice stolen by a machine that gives nothing back. But there’s a cost. Each barrier makes the next generation of AI a little blinder, a little more hollow, a little more disconnected from the world it’s supposed to understand. What we’re watching is a slow bifurcation: one internet full of guarded human expression, another flooded with self-replicating machine content. The first grows richer but more private; the second, larger but increasingly meaningless. As AI loses access to genuine thought, it will start recycling its own noise—polished, fluent, and empty. It will get faster, not smarter. It will sound right but feel wrong. The spark of insight that once came from human data will fade into pattern recognition loops that confuse mimicry for mastery. This isn’t about nostalgia or fear—it’s about connection. Intelligence without real input is just automation. Creativity without friction is just simulation. The more we protect our intellectual property, the more we risk starving the very systems that once promised to amplify human potential. We’re choosing between control and progress, and right now, we’re tilting toward control. The tragedy isn’t that machines will stop understanding us—it’s that they’ll think they still do.

🚨 MIT just humiliated every major AI lab and nobody’s talking about it. They built a new benchmark called WorldTest to see if AI actually understands the world… and the results are brutal. Even the biggest models Claude, Gemini 2.5 Pro, OpenAI o3 got crushed by humans. Here’s what makes it different: WorldTest doesn’t check how well an AI predicts the next word or frame. It measures if it can build an internal model of reality and use that to handle new situations. They built AutumnBench 43 interactive worlds, 129 tasks where AIs must: • Predict hidden parts of the world (masked-frame prediction) • Plan multi-step actions to reach goals • Detect when the rules of the environment suddenly change Then they tested 517 humans vs the top models. Humans dominated every category. Even massive compute scaling barely helped. The takeaway is wild: Today’s AIs don’t understand environments they just pattern-match inside them. They don’t explore, revise beliefs, or experiment like humans do. WorldTest might be the first benchmark that actually measures understanding, not memorization. And the gap it reveals isn’t small it’s the next grand challenge in AI cognition. (Comment “Send” and I’ll DM you the paper 👇)

THIS IS WHAT'S KEEPING ME UP AT NIGHT: 1. AI will kill the concept of a 9–5 for millions. MANY get laid off, become freelancers, shift to portfolios of agent-assisted work. 2. livestreaming explodes 100×. it becomes the only way to prove you are real and not AI. Twitch will look like one of the greatest acquisitions of all time. 3. the creator economy is graduating into the founder economy. audiences are mobilizing into companies, funds, and franchises. MrBeast was just the prototype! 4. we’re entering the app recombination era. the biggest startups of 2026 will be built by remixing three or four existing AI tools into new vertical workflows. 5. agents will start talking to other agents, and you won’t be in the loop. every “human in the middle” job becomes an API call between two models. 6. AI is collapsing the value chain. agencies, recruiters, consultants, and project managers disappear while micro-operators running ten-agent stacks take their place. 7. distribution goes agentic. every AI company will run a thousand influencer agents testing titles, thumbnails, and CTAs nonstop. ad spend becomes a living organism. i hope you like testing. 8. personalization flips commerce. the same product sells for fifty prices through fifty custom funnels, each built by AI for that buyer. price discovery becomes dynamic. this is prob better for business owners and worse for consumers :( . 9. data privacy becomes the new luxury. entire brands form around “human-only,” “no-model,” or “offline verified.” authenticity becomes a trillion-dollar aesthetic. 10. creators will own AI studios instead of channels. one prompt becomes a short, an app, a brand, a product line. the boundary between content and company disappears. 11. the big social platforms fracture into signal markets. people will trade ideas, audience data, and prompt assets the way day-traders swap stocks. virality gets financialized. already happening. 12. energy becomes the next constraint. every AI boom ends in a power bottleneck. whoever solves cheap, local compute with solar or geothermal wins the century. 13. storytelling becomes an economic engine again. the only moats left are narrative, taste, and trust. 14. AI-native insurance becomes a massive opportunity. once agents handle billions of decisions, someone must underwrite the risk. 15. an AI glut means deflation everywhere except in ideas. when intelligence is free, originality becomes priceless. 16. governments create national models to protect sovereignty. data turns into a weapon and compute becomes foreign policy. 17. as agents handle logistics, humans move up the stack into aesthetics. art direction becomes a daily skill. everything becomes branding. 18. the next decade’s wealth comes not just from building AI but from deciding where not to use it. restraint will make fortunes. 19. AI compute arbitrage becomes a trillion-dollar trade. people buy cheap cloud in underdeveloped markets and rent it globally, like Airbnb for GPUs. 20. AI-native brands dominate e-commerce by owning micro-trends. they launch new products daily, test a thousand ad variants, and kill losers overnight. 21. the AI gold rush ends with a massive data rush. whoever owns or licenses niche, verified datasets controls the supply chain of the future. 22. the next $10 billion fund is hybrid: part VC, part compute allocator, part data warehouse. capital moves from money to intelligence. 23. once personal AGIs hit, subscription fatigue dies. consumers will want one AI that handles everything. the first “super-app for life” could be a trillion-dollar company. 24. most billion-dollar outcomes this decade come from repackaging existing industries through AI... the AI accountant, AI real-estate broker, AI logistics coordinator starting as highly vertical versions of familiar services. 25. mobile UI shifts from taps to chat camera. the screen becomes a lens, the conversation becomes the interface. the app era quietly turns into the agent era. @meetLCA is a design agency i co-founded that is behind the biggest AI apps rn, seeing it play out now. 26. every industry is about to unbundle into interface companies. whoever owns the customer interface, not the backend or the model, controls the value chain. it’s Shopify vs AWS all over again. 27. vertical media merges with vertical SaaS. every niche publication births a product; every software company births a content arm. the media-product line disappears. 28. the internet used to reward consistency. the new internet rewards experimentation. the faster you test, the faster you compound. 29. AI blurs the line between work and art. products start to feel authored, like albums or films. founders become creative directors of automation. 30. AI regulation prob will look like climate policy... too slow, too messy, full of loopholes. innovation moves to places that treat compute like oil. 31. the internet fragments into private ecosystems. niche communities curated by AI become the real web. public feeds feel like Times Square; private groups feel like homes!! 32. the first fully autonomous startup launches within 3 years. no employees, no meetings, no deadlines, just connected agents generating profit. insanity. 33. we are living through the great compression. timelines that used to unfold over decades now happen in months. this is the closest thing to a gold rush most people will ever see. 34. people will look back on 2026–2029 the way we look at the early internet. the difference is you don’t need permission, capital, or credentials. you just need to build something people actually care about. 35. mobile consumer apps feel alive again. they talk back, remember you, and evolve with you. static interfaces begin to feel prehistoric. 36. the next decade of wealth will belong to people who understand three things: distribution is leverage, taste is strategy, and AI is infrastructure. im tired because i havent slept but wired because... THIS IS THE BEST TIME IN HISTORY TO BUILD. our future will look very different than our past/present. life as we know it changing. i hope you get some sleep.

JUST IN: Nvidia is now worth more than: 🇨🇦 2 Canadas 🇮🇸 166 Icelands 🇩🇪 A Germany and a half 🏦 All U.S. regional banks combined 💰 The world’s billionaires, 3× over 🏈 The entire NFL, 35 times 🍕 Every pizza sold in history 🛍️ Every item on Amazon 💳 Visa Mastercard PayPal 🚀 NASA SpaceX Boeing 🇯🇵 Toyota Sony Nintendo 🏦 Europe’s 4 biggest banks 🛢️ Every oil company on Earth 🌎 All of global gold reserves combined 🏠 All of Los Angeles real estate 🌃 Manhattan real estate market 🌎 The whole crypto market 💰 All 54 African countries combined

Guys, this is so important to understand fully: The market is being dragged up by only about 10 companies, all AI, all round-tripping revenue, all making outlandish claims of future earnings while producing none of it in real life. They are now actively coordinating public relations messages and cross-sells to each other in order to continue to push the bubble up. This is extraordinarily dangerous. I’ve not seen this before in my entire career. It’s a bubble that makes the dot-com era look like a pimple in comparison. Laying the current BS aside, and taking their claims at face value, investors need to realize that we will never get there. Not for a decade or more. We don’t have the energy infrastructure to provide for the data centers to even get remotely close to the earnings these companies have claimed. And if they do magically transform our society, somehow, what it will mean to you is far fewer available jobs and much, much higher energy costs. And yet, they drag the markets up every day. Eight out of 11 sectors, fully 80% of the companies in the index, were DOWN yesterday.

Because no one is buying a Porsche to get an EV Give the people what they want - a mid engine stick shift monster

Kids who were introverted gamers have an advantage in business. Lotta games taught managing a team, finances, and strategy. Business is hella easier when you think of it as a video game.

This might be the most disturbing AI paper of 2025 ☠️ Scientists just proved that large language models can literally rot their own brains the same way humans get brain rot from scrolling junk content online. They fed models months of viral Twitter data short, high-engagement posts and watched their cognition collapse: - Reasoning fell by 23% - Long-context memory dropped 30% - Personality tests showed spikes in narcissism & psychopathy And get this even after retraining on clean, high-quality data, the damage didn’t fully heal. The representational “rot” persisted. It’s not just bad data → bad output. It’s bad data → permanent cognitive drift. The AI equivalent of doomscrolling is real. And it’s already happening. Full study: llm-brain-rot. github. io

Oxford researchers just confirmed what we feared: The internet as we knew it is dying. AI content went from ~5% in 2020 to 48% by May 2025. Projections say 90% by next year. Why? AI articles cost <$0.01. Human writers cost $10-100. But the real crisis is model collapse. When AI trains on AI-generated content, quality degrades like photocopying a photocopy. Rare ideas disappear. Everything converges to generic sameness. It's recursive. Today's AI slop becomes tomorrow's training data, producing worse output, which becomes training data again.

If you can't increase your prices Increase the amount you offer If you can't increase the amount you offer Increase the quality of the service If you can't increase the quality Increase the attention to detail There's always a way to get paid more.

The money is not the problem: AI is the new global arms race, and capex will eventually be funded by governments (US and China). If you want to know why gold/silver/bitcoin is soaring, it's the "debasement" to fund the AI arms race. But you can't print energy

THIS chart is the CLEAREST signal of where the internet is heading. social media time is SHRINKING for the first time in HISTORY, and young people are leading the pullback. Brainrot is OUT. they grew up online, saw the full cycle of social platforms, and learned early that endless scroll doesn’t make you happier or smarter. they’re the LEADING indicator. their parents will follow in 3-5 years. AI slop is the nail in the coffin. every feed feels synthetic familiar faces, identical voices, recycled ideas. the “factory smell” of it all finally broke people’s curiosity. but there’s an upside. every trend creates its anti-trend. attention is shifting back to things that feel real, slow, and intentional. people are paying for spaces that make them feel grounded, informed, and connected again. the next $100M companies will engineer density, trust, and time well spent. they’ll build containers for meaning, then use AI to keep them organized, not optimized. the internet’s oldest assumption that more engagement equals more value is breaking. the white space i think is... • "slow media" formats: weekly briefs, serialized content etc • private groups that operate like clubs with applications and rituals • provenance and identity layers that verify real creators and sources • brands with offline gravity like real events, real belonging • curated directories and vetted marketplaces • paid memberships that deliver depth • note: we share business ideas around this on @ideabrowser • IRL anything - dinners, meetups, shared experiences young people are abandoning social media faster than their parents are discovering it. If you understand what that means, that's a big deal. i can't stop thinking about this FT/GWI chart. brainrot is OUT. meaning is IN.

the rumor is openai drops “agent builder” tomorrow and wow, if that's true thats a BIG DEAL for the 12 months, people have been stitching together tools like n8n, zapier, make, vapi, and claude workflows to simulate autonomy. it worked but it was duct tape. now IMAGINE that entire stack, native to openai, with one-click access to MCP, chatkit widgets, and every model they’ve trained (no API chaos. no patchwork. one smooth canvas) this is what happens when ai moves from tool to infrastructure. before: you needed 10 tabs, 5 plugins, and a weekend to build an agent. after: you’ll drag a few blocks, add logic, hit “publish,” and deploy a production-ready workflow. what app store did for software, agent builder COULD do for intelligence. it’s the beginning of the “no-code ai economy,” where building an autonomous agent is as simple as building a notion template. developers get leverage. non-technical founders get superpowers. businesses get workflows that run 24/7 without ops teams. openai might launch the app store for intelligence tomorrow. the DOWNSTREAM effects: - zapier and n8n lose their monopoly on automation - claude and perplexity become upstream research assistants for agent networks - indie agents replace indie apps – data becomes the new code tomorrow's dev day should be INTERESTING.

how can you call yourself an entrepreneur if you dont have a bunch of unused domain names?