YOG

@z0rynx Cyberpunk arrived quietly.

A 3.3 million synapse neural network runs his business from the passenger seat of a moving BMW. His friend drives. He just watches the screen glow. Prefrontal cortex. Hippocampus. Cerebellum. Every layer firing in real time on a MacBook in his lap. STDP learning. Pattern recognition. A brain in color, blinking at 65 mph. He calls it Jarvis. Jarvis has a webcam. It watches the tabs, the cursor, the screen. It knows what he's doing before he says it. $0 in API bills. No OpenAI. No cloud. It runs locally, on the machine on his knees. "Good evening, sir. All systems nominal and ready to serve." He asks it to automate SMS follow-ups for his customers. 1 breath later: a behavioral system that segments buyers by engagement and fires personalized messages on trigger. No dashboard. No Zapier. No 9-to-5. The soda in the cupholder is still full. The friend keeps driving. The network keeps firing. The SMS keeps sending. He never touches the wheel.

@RitOnchain This is where AI gets interesting.

Top Startups are paying $45K/month for quants who can ship production-grade features using multi-agent loops. 29-minutes. free. By Anthropic Engineer. "give it the what and it's going to figure out the how." here's what they cover for quants: • why standard copy-pasting is just "playing telephone" with an llm • launching specialized sub-agents to save precious context window space • building universally portable skills for domain-specific tasks watch video then read article below to run ai locally.

@bigmeek120 The ball’s already rolling.

have i engaged you today? actively replying currently🤭

@0xSlyth Stop wasting Claude.

A 21 YEAR OLD CUT HIS AI COSTS BY 80% WITH A $599 MAC MINI Most developers pay for every AI request. He stopped sending them to the cloud. Here's the setup: -> Run Ollama locally on a Mac Mini -> Use Qwen, Llama, Gemma, or Phi for routine tasks -> Route complex reasoning to Claude only -> Keep code and documents private -> Power the entire setup for just a few dollars a month -> Eliminate thousands of unnecessary API calls The crazy part? He didn't replace Claude He stopped wasting Claude Routine work goes local: -> Code formatting -> Summaries -> Cron jobs -> Log analysis -> Email drafts Complex work stays in the cloud: -> System architecture -> Production code ->Deep debugging -> Customer facing writing While most people use Claude for everything The smartest builders use the right model for the right task The biggest AI optimization isn't finding a better model It's knowing when not to use an expensive one The future isn't cloud vs local It is hybrid AI Bookmark this before your next API bill arrives

A $2 FLYING CARPET VIDEO IS PULLING MILLIONS OF VIEWS WHILE STUDIOS SPEND $200K FOR ONE AERIAL SHOT. Claude writes the script and shot list. One prompt. GPT Image creates the frame. One still. Fal AI turns it into a cinematic flight. One render. Make uploads it while he sleeps. Zero clicks. Millions of views turn into AdSense revenue. Around $40K a month. Faceless. Two hours of work a day. They need helicopters, crews, and safety meetings. He needed $2 and a prompt. Bookmark this. AI just turned a flying carpet into a business model.

@Bober_smart 🤜🤛

@Yogabool Thank you, the feeling is mutual

A 20-year-old guy from Japan created an AI construction girl and earned $3,737 in 2 weeks He used Claude to create photos and videos He came up with a new niche, "cute construction girl" and started a TikTok for her, which already had 54,328 new followers after 4 days Men started writing to her in private messages non-stop: they liked her a lot, and he decided to start a Fanvue TikTok is for brand awareness, and with the help of Fanvue, this awareness turns into money In 2 weeks, 624 men signed up for a paid subscription for $5.99. There, the girl does construction work, but without clothes on A little imagination + AI and your possibilities are unlimited

You Won't Believe This GTA Vice City NPCs Looks Real! 🤯

@Noderunner_Hex Documentation is the new source code.

ANTHROPIC'S $2.4M LEAD ENGINEER LEAKED THE INTERNAL OBSIDIAN BRAIN AND WAS FIRED THE SAME DAY A private vault mapping the full model architecture. 22 neurons per layer, ReLU activations, weighted paths across every hidden layer. Feature inputs labeled, forward-propagation exposed, training notes attached. That is already the wrong question to ask about loyalty. The vault was not source code. It was the reasoning map behind how the model is shaped, layer by layer, decision by decision. The kind of document competitors pay nine figures to reconstruct from scratch. Here is where it stings. One engineer, one export, one afternoon. Four years of internal alignment work sitting in a Markdown folder. The public sees a leak. The industry sees a blueprint.

@kocer_eth A second brain is only as good as your questions.

THIS GIRL BUILT A SECOND BRAIN IN 2 WEEKS WITH CLAUDE + OBSIDIAN The interesting part is not the graph view. The graph is just the receipt. The real system is simple: Every book note goes in. Every meeting note goes in. Every email worth remembering goes in. Every video, idea, and half-formed thought goes in. Obsidian becomes the place where the memory lives. Claude becomes the assistant that helps turn messy input into structured notes, links, summaries, missing connections, and better questions. That is why this works better than a normal notes app. Most people use notes as storage. They write something down, forget the file name, then search for it 3 months later. A second brain only becomes useful when notes start talking to each other. A note about dopamine can connect to ADHD. ADHD can connect to productivity. Productivity can connect to meeting habits. Meeting habits can connect to personal branding, work output, or content ideas. That is the compounding loop. You are not just saving information. You are building a map of what you already know, what you keep repeating, and what you still do not understand. The underrated part: Claude is not the brain. If you let AI generate everything from scratch, you get polished noise. The useful workflow is using Claude on top of your own inputs: clean this note extract the key claims link it to related notes find contradictions show missing context turn this into next actions That is a real advantage. Not because it makes you smarter overnight. Because it makes your thinking searchable, connected, and harder to lose. The caveat is obvious: A second brain can become a graveyard if you only collect notes. The output has to be decisions, writing, projects, or better questions. Otherwise it is just a beautiful Obsidian graph with no real use.

A 22-YEAR-OLD BUILT A $42K/MONTH AI FILM STUDIO FOR $60. Hollywood spent $200M to keep you watching. He spent $60 to replace the system. Two decisions: • Pick the story • Pick the style Everything else is automated. Claude + AI tools handle it all: Script. Characters. Dialogue. Voice. Animation. This week’s episode: A cat in a chef’s hat cooking like a human while his boss yells from off-screen to hurry up with the sauce. The cat keeps cooking. No reaction. No panic. Just tension building in real time. The pan sizzles. The argument escalates. The scene feels alive. Two episodes drop every week. Fully automated. While he sleeps. Revenue stack: • Ads • Patreon • Sponsors • Premium revenue • Brand deals Last month: $42,000 profit. Tool cost: $140. One sponsor paid $9,800 for a single episode. Hollywood builds armies of people. This builds content like a machine. And somehow, a cooking cat ignoring chaos off-screen beats most “serious” productions.

@RrichPRMR 🤜🤛

@Yogabool Yes, people like seeing the progress others make; it gives them hope that they can do it too

She filmed her transformation every day for 8 months. It made her $38,000. The weird part? She barely edited a single video herself. Day one, she wasn't a creator. Just a girl starting over, who pointed a phone at it. Every session. Every tired face after the last set. Every small win. No scripts, no polish. Here's what everyone underestimates: a transformation filmed in real time is the most bankable content in fitness. Not because it teaches anything. A workout video gets a view. A story gets a following. People come back tomorrow to see what happens next. Her daily cost was minutes. She filmed raw clips at the gym — AI did the rest. The cuts, the captions, the on-screen text, the posting schedule. 240+ daily posts in 8 months, and she never opened an editor. Alone, that volume is impossible. With AI, it's a habit. Growth looked like every transformation: invisible for two months, then all at once. By day 140, she wasn't pitching brands anymore. Brands were pitching her. Because an ad inside "day 142 of my transformation" doesn't feel like an ad — it feels like part of a story people are rooting for. Brands pay a premium for that. She picked who got in, set the terms, and stacked sponsored posts, monthly partnerships, and affiliate links underneath. Total across 8 months: about $38,000. From footage of a process she was living anyway. Costs: a phone and ~$40 a month in tools. Now the part that should sting. Every day she trained, millions of people did the exact same thing. Same gyms. Same effort. Same sweat. The only difference? She pressed Record. Most people finish a transformation with a few before-and-after photos. She finished hers with an audience, recurring brand deals, and $38,000. Same journey. Different decision. Full playbook below👇

AI just made Tom and Jerry live action, and somehow it looks amazing

@RrichPRMR 🤜🤛

@Yogabool therefore, attention needs to be monetized

She films 15-second gym clips and makes $7,700/month. Not from brand deals. From a $34 program AI helped her build. Here's how. Her clips do one job: make you stop scrolling. No teaching, no talking. Fifteen seconds of a clean set, and every clip ends the same way — free starter guide in bio. That guide is the trap, in the good sense. To get it, you drop your email. A follower is rented from the algorithm. An email is hers forever and a list buys at a completely different rate than a feed. The system, step by step: She trains 4 times a week and films 2–3 exercises each session. AI cuts that into ~20 clips, writes the hooks, and schedules the week across TikTok, Reels and Shorts. Her editing time: zero. The clips pull 2-3M blended views a month. About 2,500 of those viewers grab the free guide. Her list grows by that much every month, compounding. Once a month she emails the list one offer: a $34 twelve-week program. She wrote the training herself — AI structured it into weeks, wrote the explanations, formatted the PDF. Built once, updated never. Roughly 1 in 11 new subscribers buys, plus a steady drip from older subscribers. That's ~225 sales a month. 225 × $34 = $7,650. Round it with a few affiliate sales from the guide itself — $7,700. Costs: about $40 in tools. No inventory, no clients, no calls. The girl filming next to her posts the same set, gets 40 likes, starts over tomorrow. Same footage. One collects likes. The other collects emails. Attention is free. She just refuses to waste it. Full playbook below👇

THIS GUY SHOWED HIS DASHBOARD AND NOBODY REALIZED THEY WERE STARING AT $24,000 A MONTH Leads tracked. Pipeline staged. Revenue updating in real time. All of it running on autopilot while he slept. He built it for a marketing agency. Six people doing ops by hand. $32,000 a month in salaries. Five agents replaced 80% of it for $180 a month. He charges $3,000 to keep the whole thing humming. They watched a lead come in. Get scored. Get a reply in 60 seconds. Land in the CRM. Nobody touched a thing. They signed that same week. They never cancelled. Cancelling means hiring the team back. That math does not math. 10 clients now. $24,000 a month. The dashboard updates itself. He just watches the numbers climb. Bookmark this. The agency model just got rewritten by one guy and a quiet dashboard.

@Frogiik This saves time, but it also normalizes facial recognition everywhere.

🇺🇸 U.S. Secretary of State Marco Rubio says the U.S. government plans to introduce facial recognition for passport applications within the next few months, allowing applicants to verify their identity using a photo instead of visiting places like Walgreens or CVS for a passport picture. According to Rubio, the goal is to simplify the process and save applicants time. "Our security system will verify the facial ID," he said.

Trump’s phone is getting clowned after the first reviews. People are roasting the video quality, and test clips are already blowing up all over social media. 📱💀

🤡 Trump said that whenever his kids invest in stocks or do anything like that, people think they have insider information. I kinda feel bad for my kids. No matter what they do, even if they're just buying a truck, people assume they've got insider info. If they buy a cupcake company, people somehow tie the energy used to bake those cupcakes back to my energy policy. So they're basically in a constant conflict-of-interest situation.