From Zero to AI Hero in 7 Days: Your Blueprint for Landing Your First Client 🚀

Want to get your AI agency’s first client in 7 days? 🤔 This video breaks down the “7-Day LAUNCH” method to make it happen! 🚀

First, build a simple AI prototype – think chatbots or automation. 🤖 Use tools like Voiceflow and Make (links below!) to get started.

Next, reach out to potential clients on LinkedIn. 🤝 Craft personalized messages showing how AI can solve their specific problems. 💡

Finally, address objections head-on and turn those conversations into paying clients. 💰 Remember, you’ve got the AI solutions they need! 😉

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Forget Stable Diffusion – FLUX is the Future of AI Image Generation! 🚀

Flux is a new, free, and open-source AI model that generates incredibly realistic images. 🤯 It outperforms previous models, including Stable Diffusion, with its 12 billion parameters. 💪

There are two versions: Flux Dev and Flux Schnell. 🚀 Schnell is faster, generating images in just four steps, while Dev prioritizes quality.

You can install Flux locally, but it requires a powerful GPU due to its size. 💻 Alternatively, cloud platforms like RunPod offer affordable GPU rentals for seamless image generation. ☁️

While Flux’s capabilities are impressive, it’s unclear if the model can be trained by users due to its computational demands. 🤔 This raises questions about its future development and customization potential.

Will Flux become the new industry standard, or will its limitations hinder widespread adoption? 🤔 Share your thoughts in the comments! 👇

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Unlocking AI’s Secrets: How to Make Super-Smart Machines Explain Themselves 🧠

🧠 OpenAI’s new research reveals that making AI smarter doesn’t always mean making it easier to understand. 🤔

💡 The solution? A clever game where a powerful AI “Einstein” solves problems and a simpler AI “kid” verifies the answers. 🧑‍🤝‍🧑

📈 This approach helps AIs become more intelligent without sacrificing clarity, leading to explanations that are both accurate and understandable! 🎉

With this breakthrough, we’re on the path to AI that’s not just smart, but also explains itself clearly. 🌟

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Swipe Right on Success: Building Your Own Dating App with FlutterFlow and Supabase 🚀

Want to build a dating app like Tinder? 🤔 This tutorial breaks down how to create a sleek and functional app using FlutterFlow and Supabase. 🚀

First, structure your Supabase database with user profiles and matching logic. 🔐 Implement security rules to protect user data and ensure privacy. 🛡️

Next, design the user interface in FlutterFlow, crafting screens for profiles, swiping, and matching. ✨ Integrate maps to show nearby users and enhance the discovery experience. 🗺️

Add chat functionality for matched users to connect and communicate seamlessly within the app. 💬 Include user settings for customization and account management options. ⚙️

Finally, rigorously test every feature to ensure a smooth user experience. ✅ Launch your app and watch connections spark! 💖

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ChatGPT Just Got Supersized: GPT-4 Long Output Explained 🤯

OpenAI has unveiled ChatGPT-4o Long Output, a revolutionary AI model capable of generating responses up to 16 times longer than its predecessor.🤯

This groundbreaking technology is built on the foundation of the original GPT-4, but with a significantly expanded token capacity, reaching an impressive 64,000 tokens. 🚀

This means ChatGPT-4o Long Output can produce responses equivalent to a 200-page novel, compared to the short story length output of its predecessor. 📚

This advancement opens doors for a wide range of applications, from generating in-depth reports and complex code to crafting detailed creative writing pieces, all within a single interaction. ✨

However, this advancement comes with a price tag. OpenAI has priced the GPT-4o Long Output at $6 USD per million input tokens and $18 per million output tokens, a slight increase from the regular GPT-4. 💰

Despite the cost, OpenAI’s pricing strategy suggests a focus on accessibility and real-world application rather than short-term profit maximization. 🤔

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Ditch Perplexity? 💸 Your Guide to FREE AI Search with LLM Answer Engine 🚀

This video explores LLM Answer Engine, a FREE open-source alternative to Perplexity 🤖

💰 It’s completely free, saving you the $20/month Perplexity subscription fee.

🚀 Built on technologies like Next.js, Tailwind CSS, and Vercel AI SDK, it’s packed with features.

🔍 The video provides a step-by-step guide on how to self-host and install LLM Answer Engine.

📈 It also includes a comparison with Perplexity, showcasing its strengths like an embedded TradingView chart.

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The AI Revolution: Your Guide to the Future (It’s Closer Than You Think!) 🚀

OpenAI is partnering with Broadcom to develop a new AI chip, potentially rivaling Nvidia. 🤖

OpenAI’s CEO, Sam Altman, has discussed this ambitious project with industry leaders like TSMC and Intel. 🤝

Figure, an AI robotics company backed by OpenAI, announced the upcoming release of its Figure 02 robot on August 6th. 📅

An app called Trainy uses AI and the open-source model Llama to help dog owners understand and communicate with their furry friends. 🐶

A fully autonomous robot dentist has successfully performed its first human dental procedure, completing a crown preparation in 15 minutes. 🦷

Would you trust a robot dentist? 🤔

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🤖 The Rise of the Machines: Humanoids, AI Models, and the Future of Creation

🤯 AI is evolving at warp speed! Humanoid robots are going electric, Meta’s SAM2 can track anything in real-time, and OpenAI is letting the US government test GPT-5 for safety. 🤖
🤯 We even have AI that sounds eerily human. GPT-4.0 can hold a conversation with scarily realistic pauses and inflections. 🗣️
📸 But the biggest shocker? Flux.point 1.1 generates images so real, you won’t believe they’re AI-generated. Is this the end of trusting what we see online? 🤔
The future is here, and it’s both exciting and a little bit terrifying. 🚀

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Unleashing Your AI Advantage: A Guide to This Week’s Biggest AI Breakthroughs 🚀

It’s been a massive week for AI! 🚀 OpenAI’s rolling out advanced voice modes for ChatGPT Plus, letting you interrupt and converse more naturally. 🗣️ Meta’s released an AI tool that rivals Adobe After Effects, allowing you to cut anything out of a video with ease. ✂️ They’ve also launched AI Studio, a competitor to Character.AI, where you can create and chat with unique AI personalities. 🤖

Midjourney’s new v6.1 boasts faster generation speeds and improved text quality, bringing us closer to hyperrealistic AI images. 🖼️ On the video generation front, Gen-2 offers cinematic shots, while Dream Machine excels at subtle animations, and Kling brings unpredictable creativity (and glitches!). 🎥

Whether you’re into AI companions, stunning visuals, or turning your creations into physical products with Printify, there’s something for everyone in this week’s roundup! 🎉

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Google DeepMind: 🧠🧠 Brainiacs Back in Action 🤖🤖

Noam Shazeer, co-author of the groundbreaking “Attention is All You Need” paper and former leader of the team behind Google’s controversial language model LamDA 🧠, has returned to Google DeepMind.

🚀 Shazeer and Character.AI co-founder Daniel De Freitas have both rejoined Google, along with other startup employees. This move comes after Character.AI secured a non-exclusive agreement with Google for its technology.

🤖 Meanwhile, Google DeepMind has quietly unveiled a new experimental language model in Google AI Studio. This model, an enhanced version of Gemini 1.5 Pro, boasts a 2 million token context window and has reportedly achieved a groundbreaking 1300+ ELO Arena score, indicating significant advancements in language processing capabilities.

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