GrowAIHub

Claude + YouTube = Money Machine 💸 No skills. No camera. No excuses. 12 prompts that do all the work 👇

@MatreSwati21349 Hii

🔥 Growing my Twitter from 0 — no premium, just consistency. If you see this: ❤️ Like 💬 Comment “Hi” 🫂follow me. 🔁 I’ll support you back Let’s grow together 🚀

Follow if you want to turn AI into actual income. No fluff. Just real systems that work. Step-by-step breakdowns coming next.

Take on the roles of a cultural expert, bartender, and designer. Now imagine this: 7 global cities 7 completely different bar concepts Each is shaped by local culture, taste, and identity From Paris to Tokyo, build a bar that actually belongs there.

🚨 One prompt used to give one result. Agent Swarm instantly turns it into 100+ outputs. Full systems, reports, and datasets all in one go. This isn’t AI assistance anymore, it’s AI production.

Students don’t struggle with ideas. They struggle with getting them out fast enough. Typing slows thinking. Editing breaks flow. Typeless flips that. You speak once and it turns into clear, structured, polished writing instantly. Notes. Essays. Emails. Applications. All without the keyboard bottleneck. This isn’t voice-to-text. It’s thought-to-writing. 50% off for students makes this a no-brainer.

Everyone is trying to make AI think better. Engramme is making AI remember. That shift changes everything. From generating answers to understanding your history. From reacting to prompts to anticipating your needs. This isn’t an upgrade. It’s a new layer in the AI stack. Search. Language. Now Memory. #Engramme #AI #LargeMemoryModels

@tec_aryan Nice hook man

Most people pay hundreds for online courses. I just use these 7 Claude prompts instead and learn faster for FREE. 🧵👇

@darshal_ This could kill half the traditional editing workflow.

I just generated this cinematic scene using GPT Image 2 x Seedance 2.0 on the Pollo AI mobile app. This is insane. 🔥 The final polished output from a single idea without switching tools or breaking flow. One prompt → visual generation → motion video → ready-to-post content. This is not just faster editing. It's a full content pipeline inside AI.

@darshal_ Sounds like a fun project! Just make sure it doesn’t turn into a roast session. Presenting your life should be more ‘highlight reel’ than ‘blooper reel’!

let ChatGPT analyze my life… then turned it into a presentation using Gamma. This wasn’t about AI features. It was about me

@ThatsEFM The shift from prioritizing sheer intelligence to focusing on cost-efficiency in AI deployment is indeed crucial. It's fascinating to see how token economics will reshape decision-making in the industry.

The AI race isn’t purely about intelligence anymore. It’s about what that intelligence costs to run. For the past two years, the conversation has centred on capability. Benchmarks, reasoning scores, multimodal performance. All important, but not what determines real world usage. Cost does. More specifically? token efficiency. Not just how powerful a model is, but how much useful work it produces per token, at scale. In production, models rarely fail due to lack of intelligence. They fail because they’re too expensive. Token usage compounds. Small inefficiencies become real cost centres. And suddenly, the “best” model isn’t viable because it’s causing the company to bleed profit/money. No matter how cutting edge. Which is why you need to pay attention to AntLingAGI’s latest move. It’s the future. No big launch. No benchmark parade. Just a quiet deployment on OpenRouter under an alias: “Elephant.” Which I’ve been keeping my eye on and using for quite some time now. No staged demos. No controlled environments. Just real traffic and feedback. A different kind of validation. The key there is the efficiency. It is hard to put into words just how important it is to have great token economics especially when considering cost. It really cannot be overstated. For a trillion parameter model? It’s staggering. Just to put this into further context, in order for GPT-5.4 Mini High to run all the evaluations on the Artificial Analysis Intelligence Index, it required 240 Million Tokens. A step below that was Anthropic, that used 200 Million tokens. Ling-2.6-flash used 15 Million. That is near miraculous. The reality is that for a long time, bigger models meant higher costs. Ant Group is challenging that assumption through better inference economics. Aristotle called it potentiality vs actuality. What we’re seeing now is a move away from “bigger is better” toward usable intelligence. Smaller. Faster. Cheaper. Deployable. In practice, a model that’s significantly cheaper and close in capability will outperform a more powerful one that can’t scale. Every time. The next layer is already forming. Better routing, token optimisation, leaner prompting, hybrid systems. All focused on reducing unnecessary token burn. Right now, many AI systems are still inefficient. They over generate, over contextualise, and waste tokens that don’t translate into value. That won’t last. As adoption scales, inefficiency becomes a bottleneck. The question right now within most companies isn’t “Which model is smartest?” It’s “Which model survives contact with scale?” And increasingly, that answer is being measured in tokens.

@ZayvenKnox Claude

HE SHOWED HIS GIRLFRIEND A TERMINAL AT 4AM AND IT WAS ALREADY UP $11,400 WHILE HE SLEPT. Claude scanned 86 million trades, found the whales that never lose, and built a bot that just keeps printing. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me @ZayvenKnox (so i can DM you)

@Parul_Gautam7 It's super cool

Most AI tools feel like tools. This one feels like a universe. Just found something wild… 👇

Everything stays on your device. No cloud. No leaks. Your work stays private. Want to see it in action? Drop AirJelly below 👇 and we’ll send you an invite code. airjelly.ai

It’s not just another tool. AirJelly feels like a colleague who’s always there, quietly helping you get work done.

AI shouldn’t feel like a tool you open. It should feel like something that’s already there... watching your workflow. That’s what @airjellyAI is building: An always-on, context-aware AI that moves your work forward before you ask.