🚨 “CREATE AN AI GIRL AND MAKE MILLIONS ON ONLYFANS.” Sounds incredible. Until someone asks whose ID passed verification. 🪪👀 OnlyFans requires creators to be real, verified adults, with photo ID and a face check. Your fictional AI girl has no real identity to verify. A realistic render doesn’t change that. “But I’ll just use my own documents!” That still doesn’t make every imaginary model’s content acceptable. According to OnlyFans, AI-generated or altered content must clearly feature the verified creator, and its AI use must be disclosed. So the pitch “100% fictional girl, no documents, easy millions on OF” leaves out the requirements that break the promise. 🚩 Claiming you made millions? Show the actual platform, explain how verification worked, and provide verifiable evidence of payouts. 📸 A balance screenshot alone doesn’t prove how the money was earned—or whether it was paid out. And don’t quietly switch from OnlyFans to another platform halfway through the story. Different platforms have different rules. If the evidence never arrives but the “BUY MY COURSE” link is always ready, take a closer look at what’s being sold. 🤡 💸 You might be the paying customer who makes this “AI millionaire” business work.

I gave 3 AI agents one knowledge vault. Then I let them work the night shift. Most “AI second brain” setups have one problem: the model reads your notes, rewrites them, and slowly your sources turn into a guess about your sources. So I split the job into three agents with different permissions. 1. Reader. It ingests raw files like source-042.pdf. Read-only. It can’t change a single byte of the original. 2. Librarian. It’s the only one allowed to write, and only into the wiki. It links decisions to evidence, rebuilds the index, saves answers with citations. 12 out of 12 changes committed. 3. Checker. It runs every night and audits every page against its sources. Last night it found this: routines.md said “daily,” but two sources said “weekly.” It didn’t fix it. It flagged the page and pinged me. That’s the rule of the whole system: → sources are immutable → every claim points back to a source → contradictions go to the human, not to the model’s best guess Final state after one run: 128 pages / 3,400 nodes / 11,663 links / 1 conflict flagged / 0 sources mutated. The graph in the video is the vault growing in real time while the agents work. Every red dot is a note, every line is a link someone had to justify. I don’t want an AI that “remembers everything.” I want one that can show me where it got it from, and stops when two sources disagree.

HOLY Sh**t one prompt. Three bots. A brain that grows every time you ask a question. I’m done explaining my job to AI from zero every chat. Karpathy’s second brain pattern now runs on Grok Bot. It’s three bots in one group chat, and each one has its own memory and its own job: 📥 The Reader takes every link, PDF and voice note I drop in. It never edits anything. My sources stay exactly as I sent them. 📚 The Librarian rewrites every wiki page that source touches. Usually 10 to 15 pages from a single link. I don’t open a file. 🕵️ The Checker wakes up on a nightly routine and hunts for contradictions, stale claims and pages that nothing links to. Here’s the part I like most. When I ask a question, the answer gets filed back as a page. So the brain doesn’t only grow when I feed it. It grows when I use it. If a new source contradicts an old page, the Checker doesn’t quietly overwrite it. It tags me, and I decide. If a page goes 30 days without a fresh source, it gets marked unconfirmed. I set it up this way because a second brain can sound completely sure while remembering the wrong thing. That’s worse than having no brain at all. So every page has to show three things: the claim the source it came from the date it was last confirmed If a page can’t show all three, I don’t trust it. Reader collects. Librarian writes. Checker doubts. Paste this into Grok Bot: “Build me a second brain with three bots in one group chat. Keep my sources untouched in raw/, maintain wiki/ yourself, file good answers back as pages and run a nightly check for contradictions. Show me the structure first. Do not create anything until I confirm.” The last line matters. It makes the bot show you the structure before it builds anything, so you can fix it while it’s still cheap. One piece of advice: start with one topic you actually work on. Not your whole life. One project, one field, one thing you keep re-explaining. Once that works, add the next one.

Same race, different slope. Anthropic: $61.5B → $965B in 14 months (Mar 2025 → May 2026). That's 15.7×. OpenAI: $157B → $852B in 17 months (Oct 2024 → Mar 2026). That's 5.4×. Anthropic's May Series H ($65B at a $965B post-money valuation) now sits above OpenAI's last priced round: $122B at $852B in March. The video walks through every round on one timeline, with the numbers updating as the line moves. One detail the headline hides: the size of the rounds. OpenAI's $122B was about 14% of its post-money valuation. Anthropic's $65B was about 7% of its own (and $15B of that was previously committed hyperscaler money). OpenAI sold roughly twice as large a slice of the company per round, yet its valuation grew more slowly. How to read it: - A valuation is the price investors agreed to at each round. It is not revenue or profit. - The lines connect rounds. Nothing is measured in between. - OpenAI's last priced round was in March, so the comparison is "latest round vs latest round", not a same-day snapshot. - Dots sit mid-month where the source gives only the month. Data: Pinggy (funding history) and W.Media. Both are secondary sources, not company filings, so treat the figures as reported

AI killed the excuse: I had no time

The Tesla Roadster is back. And it flies. 🚀 0-60 mph in 0.81 seconds at the Texas reveal. The car drove up a vertical ramp, launched off it, flipped midair and landed like nothing happened. Cold-gas thrusters running on plain air. Fans that pin it to the ground (or the ceiling). 300+ miles of range. Nine years of waiting. Worth it. #Tesla #Roadster #Elon_Musk

🥊 ONLYFANS vs SUBS.COM — CAN AI TAKE ON THE HEAVYWEIGHT? OnlyFans has a massive business behind it. Subs is entering the fight with built-in AI assistance. But which platform makes the stronger case for creators? 👀 💸 ROUND 1: THE MONEY OnlyFans takes a 20% platform fee. Subs also takes 20%. Subs’ AI Manager adds a 5% fee on the revenue it earns for you after a 30-day free trial. The base fee is a draw. The AI needs to justify its additional cost. 🤖 ROUND 2: THE WORKLOAD Subs’ strongest pitch is its AI Manager: • Drafts replies in your voice. • Helps prepare audience messages. • Retrieves revenue and subscriber stats. • Connects through Telegram. You review and approve replies before they’re sent. For creators spending hours managing conversations, that’s a potentially useful advantage—if the drafts actually need less work than writing from scratch. 📊 ROUND 3: PROVEN SCALE OnlyFans’ 2025 accounts show 437 million registered fan accounts and $6.2 billion paid to creators during that year. That gives the incumbent a formidable track record. An AI feature alone won’t make that business disappear. 🏆 MY TAKE OnlyFans brings established scale. Subs offers an interesting way to manage the daily workload. The deciding numbers? Paying subscribers, repeat purchases, total fees, and hours spent running the account. If Subs can improve those results, it has a serious argument. Would better AI tools convince you to switch—or would you stick with OnlyFans? 🥊👇 Cover: AI-generated fictional matchup; no celebrity endorsement implied.

Content is only 20% of the job. The other 80%? Messages, planning, translations, stats, account safety. I let AI handle the routine, so I can spend my time on what actually matters: creating. ✨ AI is the team. I'm the brand. #creatoreconomy #contentcreator #AItools #workSmarter #creatorlife

She isn’t real. The hype is. 🤖 A convincing AI face makes a great thumbnail. It doesn’t prove the “million-dollar method” underneath it works. The pitch sounds effortless: generate a model, upload content, collect subscriptions. But those three steps leave out the rules—and almost everything that determines whether anyone pays. Here’s what “AI-friendly” actually means across these adult-only platforms: ✅ Fanvue: AI-generated content is permitted within its policies. AI creator accounts must be clearly identified, and the human behind the account still undergoes verification. Permission doesn’t extend to every image or every use of someone’s likeness. (help.fanvue.com, help.fanvue.com) ✅ MYM: AI content is allowed subject to its content rules. Its guidance requires disclosure through wording such as “Virtual Image” or hashtags like #AI and #AIgenerated. It also offers an “AI profile” badge. Using a real person’s likeness through deepfake techniques requires their written permission. (support.mym.fans) ⚠️ Fansly: Photorealistic AI-generated humans are prohibited. An AI label doesn’t make them permissible. Non-photorealistic virtual creators can apply, but the person operating the account must still complete real identity verification. (help.fansly.com) ⚠️ LoyalFans: Calling it an unrestricted home for AI models is misleading. Its policy prohibits photorealistic synthetic humans, including deepfakes and face swaps. It also restricts AI interactions without human oversight and misrepresenting AI material as authentic human creation. That’s more specific than saying “all AI is banned.” (loyalfans.com) Now look at what an earnings screenshot doesn’t tell you. Revenue is not profit. A meaningful result needs context: platform fees, generation costs, advertising, refunds, taxes and the time spent producing and managing content. Ask whether the screenshot shows one exceptional month or sustained results. Does it include expenses? Is the audience already established? Are earnings from subscriptions—or from courses, referrals and selling the method itself? Three distinctions matter: • Disclosure doesn’t override prohibited-content rules. • A fictional face doesn’t remove accountability from the real person behind it. • Permission to publish doesn’t establish customer demand. AI can make creative work faster and more ambitious. It cannot turn a platform policy into a business guarantee. Before buying the dream, check the current official rules and ask for evidence of repeatable results after costs. If the seller shows the income but hides the expenses, you’re seeing a sales pitch—not the full business. 👀 Cover features a fictional AI-generated adult character. Platform policies can change.

🚨 ONLYFANS ISN’T THE WHOLE STORY. 🤖💸 For adults exploring the 18+ creator space with a fictional AI avatar, other platforms have different rules. But that viral list of “AI-friendly platforms” needs a fact-check. 👀 ✅ Fanvue explicitly allows fully AI-generated content, provided it’s clearly disclosed and follows its content policies. ✅ MYM allows AI-generated content with clear labeling, such as “Virtual Image,” #AI or #AIgenerated. It also has an AI profile badge. ⚠️ Fansly permits non-photorealistic virtual creators. Realistic AI-generated humans are prohibited—even if you label them as AI. 🚫 LoyalFans currently states in its Terms that AI-generated and deepfake content is prohibited. Calling it an unrestricted home for AI models would be misleading. 🪪 And AI-friendly doesn’t mean document-free. Fanvue and MYM still require the real person behind the account to verify their identity. There are platforms where AI content can be monetized. Permission to publish, however, doesn’t guarantee paying customers. 💸 Before buying someone’s “million-dollar method,” check whether the platform even allows what they’re selling you.

Made this to show what an AI agent actually does. It doesn’t just answer you once. It makes a plan, searches, builds something, checks its own work and then hands it over. The orb changes shape at every stage. Just a visualization, not a live run 🟡

Inside the DNA of AI🤯 A scout finds the signal. A planner maps the next move. A critic checks. A builder creates. A writer delivers. The human stays in the loop. This DNA-style UI concept makes AI teamwork visible. AI’s creative potential is incredible. We’re just getting started.

Webby went online for memes. Grok 4.5 gave him an existential crisis. Buried in answers. One riddle instantly solved. Then a victory pose… and his headphones were gone. Is Grok actually that smart, or are we mistaking speed for intelligence? 👇 #Grok #GrokBot

top picking one AI for everything. This spider demo assigns six jobs: Opus 5.5 to plan + review Claude Code to code Jev to decisions OpenAI Dots to run 24/7 Sonnet 5.5 to ship Six jobs. One system. Would you trust one model with all six?

Claude Haiku 5.5 just dropped. The price is the wild part. 1M-token context. Up to 128K output. $0.10 input / $0.50 output per million tokens for prompts up to 100K. How many everyday AI tasks are we overpaying for?

This cow needs a factory reset. Four legs. Still chose the udder. Wait for the landing. 🐄

One cat. One "6". Four AIs. Who did it best? 👇

Claude Opus 5.5 vs GPT 6 Astra Max. All that hype… and the final boss is a cow. Create a 17-second animated comparison video inspired by the attached reference. CHARACTER Build an original 3D cartoon cow with a round, glossy black-and-white body, small cream horns, expressive eyes, a pink muzzle and udder, and four flexible pink legs. Keep its appearance consistent throughout the animation. ENVIRONMENT A salmon-colored running track surrounded by vivid green hills, small bushes, white fences and fluffy clouds under a bright blue sky. Use a polished toy-like aesthetic, soft lighting and glossy highlights. ANIMATION Make the cow jog with rhythmic body movement, bend its legs naturally, blink and wag its tail. Add three smooth jumps over low red hurdles. Use a tracking camera that keeps the entire cow visible. COMPARISON LAYOUT Create a vertical 4:5 canvas with a warm off-white background and two equally sized panels with rounded corners. Top panel: the attached reference video. Label: “Claude Opus 5.5”. Bottom panel: the newly created 3D animation. Label: “GPT 6 Astra Max”. Main heading: “CLAUDE vs GPT”. Keep all text compact and readable. FINISH Preserve the reference audio. Avoid flickering, distorted anatomy, clipping and sudden camera movements. Do not add a “Generated by” caption or creator credit. Render the new scene using code if needed, assemble the comparison and export a downloadable MP4: 1080 × 1350, 60 FPS, 17 seconds, H.264 video and AAC audio.

SI 🤔