FarhanX_AI

Everyone talks about agents. But execution + verification layers are the real underrated edge right now.

@ethanwith_AI It writes in your own tone

@FarhanBuildsAI Great Share

How to make AI-generated text 100% human with Claude Code: PS: we're cooked

@expertwith_AI It skips generic words

@FarhanBuildsAI Amazing share

I hope you've found this thread helpful. Follow me @FarhanBuildsAI for more. Like/Repost the quote below if you can:

5. Open Claude Code and type /humanizer Paste in your AI-generated text, then hit Enter. Claude Code will rewrite it into a fully human-sounding version.

4. Close Claude Code completely, not just the window. If it’s still running, open Task Manager and end the task.

3. Download the humanizer Skill by using the following command in PowerShell git clone github.com/blader/humaniz… C:\Users\YOUR-USERNAME\.claude\skills\humanizer

2. Press the Windows key and type PowerShell, then open it. You’ll see a black window — that’s PowerShell. Next, navigate to your Claude Skills folder by running: cd C:\Users\YOUR_USERNAME\.claude\skills Replace YOUR_USERNAME with your Windows username.

1. To make AI-generated text sound more human, use the Claude skill “humanizer” github[.]com/blader/humanizer It flags 29 common AI-writing patterns and strips them out.

I ACCIDENTALLY UNLOCKED "GOD MODE" IN CHATGPT, AND IT STARTED TEACHING ME THINGS I DIDN'T KNEW EXISTED. HERE ARE THOSE 7 CHATGPT PROMPTS THAT WILL CHANGE EVERYTHING FOR YOU:

🚨 Google recently released 12 powerful AI tools—most people haven’t discovered them yet. I’ve tested them, and they can significantly boost productivity. Sharing the full list for free (no gatekeeping) ⏳ Available for 24 hours. Type “DM” to get all 12 tools + usage guide.

I generated $43,800 overnight using an automated OpenClaw setup. At 3:47 AM, my system triggered a confirmation alert. I approved it half-asleep—by morning, the position had closed with a +$43,800 gain. I’ve documented the exact, step-by-step process behind this timezone arbitrage strategy. What you need: • Claude • A laptop • 24 hours to test it (no cost) How to access the guide: 1. Comment “ Claw ” 2. Like & repost 3. Follow @Tech_Marsha (so I can send it via DM) The system runs continuously, scanning global news across Japanese, European, Australian, and Middle Eastern markets. It identifies pricing inefficiencies—situations where outcomes are already reflected overseas, but U.S. markets have yet to adjust. After 9 days of running this setup, the results have been consistent—and eye-opening. Most traders focus on EST. Markets don’t. While one region sleeps, another resolves events in real time. That timing gap is the opportunity. Follow @Tech_Marsha to receive the full breakdown.

@Nafees_Ai The decoy effect is everywhere. Not just menus—pricing, SaaS, even subscriptions. How often do we fall for it without noticing? Kinda scary when you think about it.

The most expensive item on a restaurant menu isn't meant to be sold. It exists to make the second-most-expensive item look reasonable. Behavioral economists call this the decoy effect. Dan Ariely proved it at MIT in 2008. Every menu you've eaten from this year uses it. Plus 10 more tricks. I pulled the playbook. Here's how each one hijacks your brain. 🧵

Camera roll sitting there doing nothing? Scout AI actually pays you for photos & videos based on quality. Straight to Solana. This is real you can try it 👇

Two economists have released a new mathematical model suggesting that AI could eventually destabilize the economy—if current trends continue unchanged. Not a possibility, but a projected outcome. The paper, “The AI Layoff Trap,” published on March 2, 2026, comes from researchers at the Wharton School of the University of Pennsylvania and Boston University. It has been peer-reviewed and is built on formal modeling. Their conclusion is striking: At the extreme, companies automate toward unlimited production capacity—while demand collapses to zero. In other words, an economy that can produce everything… but has no one left to buy it. Here’s the mechanism: One company replaces 500 employees with AI. A competitor cuts 700 jobs to stay competitive. Another eliminates 1,000 roles. Each decision is rational on its own. Each firm is responding correctly to incentives. But together, they create a systemic trap. Because those workers were also consumers. When layoffs outpace the creation of new jobs, overall spending drops. Lower demand forces companies to cut costs further—often through more automation. That leads to more layoffs, even weaker demand, and the cycle continues. A feedback loop with no natural stopping point. The researchers tested a range of proposed solutions: universal basic income, taxes on capital income, employee ownership models, reskilling programs, and even coordinated agreements between firms. In their model, none of these fully solved the problem. The only intervention that worked was a Pigouvian tax on automation—a per-task charge applied when AI replaces human labor. The idea is to make firms account for the loss of demand their decisions create before automating. So far, no government has implemented such a policy, and it’s not a major focus in current economic debates. Meanwhile, real-world data seems to be moving in that direction: Around 100,000 tech workers were laid off in 2025, followed by roughly 92,000 more in early 2026. Even Jack Dorsey, co-founder of Block, Inc., has suggested that many companies will soon reach similar conclusions about automation. No single actor is behaving irrationally. Each company is doing what makes sense individually. But when everyone follows the same logic at scale, the outcome can become self-defeating. Rational decisions—collectively—can still lead to collapse. That’s the warning this model is trying to highlight. arxiv.org/pdf/2603.20617

Humans: 100% Gemini 3.1 Pro: 0.37% GPT 5.4: 0.26% Opus 4.6: 0.25% Grok-4.20: 0.00% François Chollet just released ARC-AGI-3 -- the hardest AI test ever created. 135 novel game environments. No instructions. No rules. No goals given. Figure it out or fail. Untrained humans solved every single one. Every frontier AI model scored below 1%. Each environment was handcrafted by game designers. The AI gets dropped in and has to explore, discover what winning looks like, and adapt in real time. The scoring punishes brute force. If a human needs 10 actions and the AI needs 100, the AI doesn't get 10%. It gets 1%. You can't throw more compute at this. For context: ARC-AGI-1 is basically solved. Gemini scores 98% on it. ARC-AGI-2 went from 3% to 77% in under a year. Labs spent millions training on earlier versions. ARC-AGI-3 resets the entire scoreboard to near zero. The benchmark launched live at Y Combinator with a fireside between Chollet and Sam Altman. $2M in prizes on Kaggle. All winning solutions must be open-sourced. Scaling alone will not close this gap. We are nowhere near AGI. (Link in the comments)

Apple has just published a paper with a devastating title: *The Illusion of Thinking*. And it's not a metaphor. What it demonstrates is that the AI models we use every day - yes, ones like ChatGPT - don't think. Not one bit. They just imitate doing so. Let me explain: 🧵👇

🚨 APOB AI IS UNLEASHING HYPER-REAL FAKE E-GIRLS — INVADING EVERYWHERE! 🚨 That stunning smile pulling you in? Real or pixel-perfect illusion? We are absolutely COOKED. 💀🔥🤖 Try it: 👉mega.apob.ai/Ihtisham

I replaced a UGC creator with an AI character in 5 minutes. Not edited. Not reshot. Not re-recorded. Same video. Same expressions. Same movements. Completely different person. Yeah… it’s kind of wild. 🤯 If you run DTC ads or manage agency creatives, this changes everything. You already have a winning UGC: Script tight. Hooks strong. Pacing perfect. ✅ Normally, testing new creators means: ❌ Hire 5–10 people ❌ Brief everyone ❌ Pay $500+ each ❌ Wait weeks ❌ Pray they match the energy It’s slow. Expensive. Painful. Here’s the smarter play: ⚡ Start with your original UGC ⚡ Click Revideo in Apob AI ⚡ Upload your video + photo ⚡ Generate ⚡ Done in seconds The motion tracking is ridiculous. Every head tilt. Every smile. Every gesture. Perfectly mapped onto a new AI persona like it was filmed that way. Now you can: → Test 5 different demographics with the same winning script → A/B test which “face” gets higher CTR → Localize for different markets instantly → Refresh fatigued creatives without reshooting → Scale ads faster (and cheaper) No shoots. No creators. No delays. Just infinite variations on demand. If you care about performance marketing, this isn’t optional — it’s a cheat code. Try it yourself: 👉 mega.apob.ai/Ihtisham

25 AI tools you can’t Ignore in 2026: 1. Claude.ai – solves anything 2. Ranked.ai – rank higher on Google, ChatGPT, Claude, Etc! 3. Syllaby.io - create viral AI videos that you can monetize 4. Wisprflow.com - AI powered speech-to-text 5. Skysnail.io - create perfect YouTube thumbnails 6. GetViktor.com – AI employee in your Slack 7. Threadmaster.ai - create viral Facebook posts 8. Submagic.co – turn long videos into shorts 9. Hellowarrant.com – marketing compliance to not get fined 10. Gemini.google.com – best ai photo editor 11. Fastread.io - create ebooks & audiobooks 12. Bibley.io - ai for Bible study 13. Manus.im - the ultimate ai agent 14. Heygen.com – creates AI avatars 15. Webinarkit.com - ai for webinars 16. Creatorunlock.com - ai for YouTube 17. Getmakerai.com - build and sell software 18. Adcreative.ai - ai tool for advertising 19. Canva.com - design anything 20. Brandbutler.ai - create a perfect brand identity 21. Replit.com – the most powerful vibe code tool 22. Perplexity.ai - computer, is a powerful AI agent 23. V0.dev - create frontend mockups 24. suno.com - create ai music 25. Notion.AI – your second brain, upgraded with AI ◾Like and Retweet this for others ◾Follow @AIandTechh87 for more such content ◾Save this for later 🔖