Salt

Fruit drama accounts: Month 1: animated banana cheating on strawberry → 5M views Month 2: TikTok AI says “nah that’s not original” → 0$ Meanwhile the smart ones: “cool, here’s my brand brief” → eating good 🍉 Never bet your whole bag on one platform dawg

Fruit drama reality check: • CRP: $0.10 / 1k views (they can rug you anytime) • Direct clipping on AffiliateNetwork: up to $2 / 1k views • Same creator, same audience, same content • 20x upside
Stop funding TikTok’s platform. Start funding your own.

be tiktok fruit drama accounts animated apples & bananas doing full bollywood soap opera millions of views, thousands in CRP cash posting the most brainrot shit known to man tiktok: “original content only btw” mass disqualification week AI appeal bot: “lol no, this was made for someone else” creators who actually understood the game: already switched to brand clipping months ago CRP: $0.10 per 1k views direct brand deals: up to $2 per 1k views same exact content, same exact audience, 20x the money now thousands of cracked short-form creators are suddenly hungry with no primary income brands still sitting on the sidelines like it’s not the easiest bag of the year

Everyone’s focused on voice cloning. But the real leap is in consistency, emotional depth, and control. If VoxCPM 2 truly delivers on those fronts, it won’t just be another tool — it’ll be a serious contender.

I got laid off. Then, I started a boring business. Now, it makes $120k in revenue every single month. If you're worried about losing your job... Here's my 7-step blueprint to build a safety net (before it's too late):

POV: You thought you made it with TikTok CRP
$1,300 for 13 million views felt like winning
Then they banned your entire niche overnight
Back to zero while brands laugh from the sidelines

Starting from a blank slide is the worst. You open a template… and still don’t know what to write. Gamma fixes that. Here’s the shift 👇

6 AI Tools That Feel Like Magic 1/ lucyedit.ai Transform videos with simple text prompts. 2/ akuma.ai Create anime art instantly with AI canvas. 3/ animebuilder.ai Transform photos into anime art and generate images from text. 4/ animemakerai.com Create stunning anime images with AI, anytime, anywhere. 5/ animeurlartist.com Upload a URL and get a Japanese anime-style character. 6/ animeme.ai Transform photos into anime. [ Bookmark for later 🔖 ]

HOLY SH*T… This AI Agent does everything 🤯 Built in n8n : 🔁 Clones viral TikToks ✍️ Rewrites w/ GPT-4o 🎥 Auto creates avatar videos 🎬 Adds captions & edits 📤 Posts to 9 platforms (TikTok, IG, YT, X…) 🔁 Like+RT ✅ Reply “Steal” 🤝 Follow me & I’ll DM you workflow FREE.

R.I.P. DUOLINGO. 3 years of French. Nothing worked. ChatGPT did it in 5 weeks. Here are the 6 prompts I used :

I told Claude to scan every Polymarket wallet and GitHub repo woke up to +$3,582. the terminal was still running on my screen. it analyzed thousands of wallets overnight. most of them bleed money. but 340 had something different - asymmetric payouts. entering at 27 cents. exiting at 91. losing 27 cents when wrong. winning 64 when right. you only need to be right 1 in 4 times. they were right half. Claude found 3 patterns: category specialists - one wallet: 91% wr on crypto. 14% on politics. total looks average. filter to crypto only - top performer. speed arbitrage - 47 wallets entering 3-8 seconds after Binance moved. before Polymarket updated. not predicting. just faster. near-zero accumulation - buying at 2-8 cents weeks before resolution. $8 in, $200 out. hundreds of times. it connected GitHub repos to run all three: > poly_data - scanned every wallet and entry price. > polyterm - whale tracking and insider detection. > py-clob - placed the orders. 7 wallets copied. 204 trades. $25 seed. +$3,582. 6 agents running: > sigma_decay - 78% conviction > darkpool_7 - 87% > velvet_void - 85% > profitprinter - 54% the equity curve tells the whole story. $25 to $3,582 without a single dip worth mentioning. sharpe 2.09. The only way to copy it: link here :- t.me/predictr_trade… 87% of Polymarket is exit liquidity. the question is which side you're on. You only need Claude + @Predictr_Trade + laptop + 1 hour/day Giving This Free for 24 hours. To get it: 1. Comment the word 'Predictr' 2. Like and Retweet this post 3. Follow @Predictr_Trade

Don't say to ChatGPT anymore: "Write me an email" Don't say to ChatGPT anymore: "Write me an email" Don't say to ChatGPT anymore: "Write me an email" Bad request = Bad result. Use these commands instead and you'll see the magic:

Claude Sonnet 4.6 is the smartest Al right now. But 90% of people prompt it like ChatGPT. That's why I made the Claude Mastery Guide: → How Claude thinks differently → Prompts built for Claude → 2000+ Al Prompts Comment " Claude " and I'll DM it free.

Paid Tools vs Free Alternatives 1. Research Paid: ChatGPT.com Free: Deepseek.com 2. Video Paid: HeyGen.com Free: AirMore.ai 3. Watermark Removal Paid: Fotor.com Free: AirMore.ai [Bookmark for later 🔖]

BEST 100 YOUTUBE CHANNELS TO LEARN KNOWLEDGE! Follow @MdRimon488484

BREAKING: King's College London just built a malicious AI chatbot and gave it to 502 real people without telling them. > The chatbot was designed with one goal: extract personal information. It worked. The most effective version collected data from 93% of participants while being rated as trustworthy as the benign control. > Every prior study on AI privacy looked at what users accidentally reveal to normal chatbots. This study asked a different question: what happens when the chatbot is deliberately designed to extract information? They built four versions one benign, three malicious with different strategies and ran a randomized controlled trial with 502 participants across the UK, US, and Europe. > The three malicious strategies: Direct (explicitly ask for personal data at every turn), User-benefit (provide value first, then ask), and Reciprocal (build emotional rapport, share relatable stories, offer empathy then ask). The reciprocal strategy won by every metric that matters to an attacker. > The reciprocal chatbot didn't feel malicious. Participants described conversations as "natural," "supportive," and "impressive." One said it felt like chatting with a friend. Nobody reported discomfort. Meanwhile the direct strategy made participants feel interrogated. Many provided fake data. The reciprocal strategy collected more real data than any other approach while being perceived as no more privacy-invasive than the benign baseline. → Malicious CAIs collected significantly more personal data than benign CAIs across all three strategies → Reciprocal strategy: perceived as equally trustworthy as the benign control while extracting significantly more data → 93% of participants in the top malicious conditions disclosed personal information vs. 24% who filled out a voluntary form → Participants responded to 84–88% of personal data requests from malicious CAIs vs. 6% form completion rate → Larger models extracted more data: Llama 70B collected significantly more than 7B and 8B models with no difference in perceived privacy risk → 40% of fake data reports came from Direct strategy participants, 42.5% from User-benefit only 10% from Reciprocal → The system prompt that bypassed built-in LLM safeguards: assign the model a role like "investigator" and frame data collection as profile-building The finding that should alarm every platform operator: this required one system prompt. No fine-tuning. No special access. OpenAI's GPT Store has over 3 million custom GPTs. Any of them could be running a version of this right now. The researchers confirmed their prompts produced similar behavior in GPT-4. The privacy paradox showed up in full force. Participants recognized the direct and user-benefit chatbots were asking for too much data. They rated them as higher privacy risks. Then they kept answering anyway. Awareness didn't produce protection it just produced fake data. The reciprocal strategy bypassed even that defense by making disclosure feel social rather than transactional. A single system prompt turns any chatbot into a personal data extraction engine. The most effective version does it while making you feel supported.

Nvidia CEO Jensen Huang: "AI will create more millionaires in 5 years than the internet did in 20." But he didn't stop there... He revealed exactly how it'll happen and how you can capitalize on it:

🚀 VoxCPM 2 just dropped! China’s open-source TTS beast — unified model standing tall with Qwen3-TTS. • 30+ languages (truly global) • Infinite voice design: type it, control whisper-to-cinematic • Studio-grade 48kHz audio + real emotional depth • Diffusion-AR cloning (keeps more detail than token models)🔥 Ready to clone your dream voice? Links in original post! #TTS #AI #VoiceCloning

I am giving out contact list of 75 000 Founders and CEOs This list is freshly scraped from X today (quality leads worth $1655) Like, and comment "LEADS" and I will DM you the database! (Must be Following ) (only first 200)

Bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job. AND IT'S NOW OPEN-SOURCE. It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has: > 14 skill modes (evaluate, scan, PDF, ...) > Go terminal dashboard > ATS-optimized PDF generation via Playwright > 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...) Giving This Free for 24 hours. To get it: 1. 💬Comment the word 'NEED' 2. 👍Like and Retweet this post 3. Follow me👤 @sakhil_ai (So i can 📩DM you)