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Plus: AI Agent Generates $100M In Sales?
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Ever heard of Manus? If not, you’re missing out on an AI beast. This AI agent is blowing up in China right now, and it’s only a matter of time before it hits the US.
Think Deep Research + Operator + Claude Computer all in one—and it’s REALLY good.
What are on FIRE 🔥
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Whether it's AI or Amazon, fortune favors the bold.
AI INSIGHTS
🤖 The First Ultra-large Hybrid-Transformer-Mamba MoE (Mixture of Experts) Model
Hybrid-Transformer-Mamba Model combines Mamba’s efficiency in long-sequence processing with Transformer’s deep contextual understanding.
Key Takeaways:
Solves KV-Cache issues and reduces O(N²) complexity, making long-text inference faster and more efficient.
Beats GPT-4o-0806, DeepSeek-V3, and open-source models in math, reasoning, and alignment.
Performs strongly on knowledge-based tasks like MMLU-Pro.
The inference cost is 1/7 lower than the previous Hunyuan-Turbo model, making it more cost-effective.
Faster, smarter, and more scalable AI, setting a new standard for efficiency and performance.
Why it matters: Hunyuan-TurboS redefines AI efficiency and intelligence, solving long-text processing issues that have held back traditional Transformer models. By combining Mamba’s speed with Transformer’s deep reasoning, it delivers better math, logic, and alignment—outperforming top AI models while cutting inference costs by 86%.
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TODAY IN AI
AI HIGHLIGHTS
🚀 Hugging Face vs. Anthropic on AGI – Thomas Wolf from Hugging Face doubts Anthropic’s AGI by 2027 claim. He says LLMs will help with tasks soon but won’t make big discoveries until we create better tests that reward real innovation instead of just being “scaled-up good students.”
🎯 Microsoft has poured $13 billion into OpenAI, making it a key partner. But it’s also building its own AI model named MAI, which competes with OpenAI and Anthropic. Strong test results suggest that Microsoft could rely less on OpenAI in the future.
🗣️ Meta is adding advanced voice features to Llama 4, its next AI model, which is launching soon. Unlike old systems, it won’t turn voice into text first—users can talk naturally, and AI will respond in real-time. Meta sees this as a game-changer for AI conversations.
🏡 AI Selling Real Estate – Israeli startup eSelf AI built an AI agent that helps buyers find homes, answer questions, and give virtual tours. Porta da Frente Christie's used it and already made $100 million in sales. The AI runs 24/7, shows videos and images for a better search experience, and instantly pulls up property details—something human agents might forget.
P/S: The bot that takes your job isn’t better than you—it just works all the time. eSelf AI makes sure customers get answers, whether it’s 3:00 PM or 3:00 AM.
⚡ Elon Musk’s Department of Government Efficiency (DOGE) cut 1,000 jobs at the General Services Administration (GSA) and replaced their work with an AI app. The 1,500 remaining employees now use a chatbot to help with emails, summaries, and coding. More layoffs are expected.
🤖 Taiwan’s Foxconn has launched its first large language model, FoxBrain. Built on Meta’s Llama 3.1, it was trained in 4 weeks using 120 Nvidia H100 GPUs. The model is optimized for traditional Chinese and Taiwanese and aims to improve manufacturing and supply chain management.
🔥 Manus AI Turns Thoughts into Actions – Manus is a fully autonomous AI agent that works on its own. In a demo, it handled three tasks: sorting resumes for hiring, finding stock trends, and searching for New York real estate based on schools and prices. It runs in the cloud, so it keeps working even if you close your laptop. Some experts worry about where its servers are and if data could be sent to China.
💰 AI Daily Fundraising: Former DeepMind researchers raised $130M to launch Reflection AI, aiming to develop autonomous coding systems as the first step toward superintelligent AI.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
📱 World Chat is a Mini App that allows users to connect, chat, and send money to anyone on the World Network.
🎬 Character-3 by Hedra Studio is a new generation of AI-native video creation.
🌌 Muse is the first AI made for fiction, designed for authors.
📜 Lanceboard is freelance platform of the AI era. Get your to-do list done.
🗣️ Unreal Speech is fast and affordable text-to-speech API
AI QUICK HITS
🚀 OpenAI and Oracle Build Massive AI Hub Packing 10.000 Nvidia Chips in Texas (Link)
🤖 X Adds Grok AI Tagging Let Users Ask Questions Instantly (Link)
📉 IT Unemployment Rises to 5.7% AI Continues (Link)
🎮 Sony Tests AI for PlayStation Bringing Smart In-Game Characters to Life (Link)
🩺 Gleamer Expands Into MRI with Two Strategic Acquisitions (Link)
AI CHART
AI is everywhere in marketing right now. If you're not using it, you're at least thinking about it. But here’s the thing—most teams are still just scratching the surface.
Yeah, we’re generating content faster, brainstorming ideas with AI, and even optimizing SEO. But are we really leveraging AI the way we should?
Here’s the problem: Adopting AI is one thing - but using it well is another.
❌ Only 10% of companies say their AI maturity is "very advanced."
❌ 56% still use AI in a disconnected, ad hoc way.
❌ Only 43% have a formal AI strategy in place.
And it gets worse...
🔹 65% of CMOs think their AI strategy is advanced
🔹 Only 27% of managers agree
Translation? Leadership thinks they’re nailing AI, but the teams actually using it see the gaps.
🏆 What High-Performing AI Teams Do Differently
The companies actually winning with AI aren’t just playing around with ChatGPT. They’re integrating AI into everything they do.
Here’s what sets them apart:
They document use cases – AI isn’t just a cool tool; it’s a structured part of the workflow
Leadership actually uses AI – Not just talks about it
AI is baked into marketing processes – Not just for one-off tasks
They track ROI – 96% of top teams measure AI’s impact
They experiment constantly – AI isn’t a “set it and forget it” tool
They have AI governance – Clear policies on how AI should be used
They invest in domain-specific AI – Tailored models, not just generic tools
If your team isn’t doing at least some of these things, you’re leaving a lot on the table.
How Many Key Traits Does Your Organization or You Have in AI Marketing? |
AI JOBS
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