M2N2: A New Framework for Model Fusion

Prompt Engineering Market on the Rise! The global prompt engineering market is set to skyrocket 📈 Why does it matter? Because knowing how to craft the right prompts transforms AI from “good enough” into game-changing business solutions. 👉 Dive deeper into why Prompt Engineering is the new digital superpower: 🔗 https://lnkd.in/gXEzjMCn #PromptEngineering #AI #GenerativeAI #HyScaler

If you want a breakdown of Arvind Narayanan and Sayash Kapoor's AI as Normal Technology, particularly as compared to AI 2027, today's your lucky day! "When we published AI as Normal Technology, the impact caught us off guard. It quickly became the most influential thing either of us had ever done. We took this as a strong signal to spend more of our time thinking and writing about the medium-term future of AI and its impacts, offering grounded analysis of a topic that tends to attract speculation.... Today, we address common points of confusion about AI as Normal Technology, try to make the original essay more approachable, and compare it to AI 2027." https://lnkd.in/e9WvzhYC #ai #AIAsNormalTech #AI2027

Why HRM Made Me Rethink How AI Agents Work. Until now, most AI agents have been reasoning in language space, almost like thinking by constantly talking to themselves in words. That works, but it can also be vague or limiting, the same way describing a picture only in sentences can never capture all its details. This is where new ideas like HRM (Hierarchical Reasoning Model) change the game. HRM moves reasoning into latent space, a structured representation where ideas are clearer and less ambiguous. With sensors providing context, this process becomes more human like…sense, symbolize, plan, and act. Tools then become the gateway for agents to shape the world around them, the richer the tools, the broader the possibilities. What makes HRM exciting is how it reimagines the reasoning process itself. It takes a hierarchical approach (big picture first, then details), adds a halting mechanism (knowing when to stop thinking and act), and achieves this with just 25M parameters making it lightweight, efficient, and practical. This is where the future of AI agents is headed…not just systems that follow instructions, but entities capable of perception, reasoning, and meaningful action. The age of truly intelligent agents is only just beginning. #AI #AIAgents #AutonomousAgents #FutureOfAI #HRM #LatentReasoning #ArtificialIntelligence #AgenticAI

Looking to rethink your supply chain approach? Traditional inside-out thinking focuses on transactions and efficiency. But in today's dynamic world, that's not enough. We're surrounded by signals we can't use – 80% of supply chain data sits unused. This video explores how AI and machine learning can help you tap into different signals. Reduce response time and better align with what customers actually want. 🔘 Watch how to shift from inside-out to outside-in thinking. If you want to go deeper, explore AskLora here: https://lnkd.in/dePDA9wm Lora Cecere #Lora #SupplyChainInsights #AI #BusinessStrategy #Innovation #MachineLearning #UTHEREAL #AIAGENTS #GenAI #SupplyChainAI

✨ The Unseen Hand: Why Human Touch is Our Greatest Asset in the Age of AI In an age of rapid automation and artificial intelligence, the conversation often centers on what machines can do. But what if the real opportunity lies in what they can't? Our new blog explores how prioritizing our most human skills—empathy, creativity, and connection—is the key to success in a tech-driven world. We offer practical tips to help you redefine your value and work with AI, not against it. What's one human skill you believe will become even more valuable in the next five years? Share your thoughts below! Read the full blog here: https://lnkd.in/gcWHMCYx #ArtificialIntelligence #FutureOfWork #HumanSkills #AI #CareerGrowth #TechTrends #Innovation #Empathy

World models are gaining attention for their potential to enhance AI agents, which demand adaptive simulation capabilities to more efficiently interact with complex, dynamic environments. Our insights will help AI leaders understand the technical landscape, top use cases and risks associated with this emerging technology. Gartner analysts have been helping clients answer three questions, in particular: 1️⃣ What are world models and how do they differ from traditional simulators and large language models (LLMs)? 2️⃣ How can world models be used in AI systems across industries and applications? 3️⃣ What are the benefits and limitations of world models today? Gartner clients can now read, "Innovation Insight: World Models Are Set to Empower AI Agents With Imagination" (Published 27 August 2025 - ID G00831562) by Mike Fang, Leinar Ramos 🔗 https://lnkd.in/euFEg_Af #WorldModel #Simulation #DecisionIntelligence #AIAgent #AI #LLM

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE Is AI’s increasing power coming at the cost of trust? 🤔 Generative AI is transforming industries, but the “black box” nature of models like LLMs is a serious concern, particularly in fields demanding accuracy – think healthcare, finance, and legal. Traditional RAG systems, while better, still lack transparency. That’s where KG-SMILE comes in. This groundbreaking research, detailed in a new arXiv paper (link in comments!), introduces a novel framework for *explainable* Knowledge Graph Retrieval-Augmented Generation. It uses controlled perturbations and weighted linear surrogates to pinpoint the most influential graph entities and relationships driving AI outputs. 🚀 The result? More stable, human-aligned explanations, boosting fidelity, faithfulness, and accuracy. KG-SMILE isn’t just about better results; it’s about building trust and understanding in AI. 💡 What are your thoughts on the importance of explainability in AI systems? Let’s discuss! 👇 #AI #ExplainableAI #KnowledgeGraph #RAG #MachineLearning #KG-SMILE Original article: https://lnkd.in/dWa8kbpc Automatically posted. Contact me if you want to know how it works :-)

The Super Grok subscription raises questions about its true value. For $30 a month, it boosts usage limits, but do those enhancements justify the cost? The official figures cite allowances for prompts, image generations, reasoning tasks, searches, and research requests every two hours. While the increased context window is a plus, it's still significantly smaller than competitors that cost less. This comparison invites reflection on what truly constitutes a worthwhile investment in advanced AI tools. #AI #technology #innovation #subscriptionmodel #value

Normality of data is often treated as a foundational assumption in AI and statistical modeling. In practice, however, real-world data rarely follows a perfect normal distribution; it is typically skewed or heavy-tailed. Interestingly, while the underlying data may be non-normal, the noise within it often tends to follow a normal distribution. This mismatch can cause AI models to gradually overfit to noise, leading to model drift. Such drift can be especially dangerous in high-stakes domains like finance and healthcare. To mitigate these risks, models in critical sectors should be retrained frequently and paired with continuous monitoring frameworks to ensure reliability and robustness. #AI

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗠𝗲𝗺𝗼𝗿𝘆 𝗶𝗻 𝗔𝗜 AI memory allows systems to 𝗹𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗽𝗮𝘀𝘁 𝗱𝗮𝘁𝗮, improving their ability to make accurate predictions and effective decisions over time. Go through with Mem0 𝗔𝗜 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗻 𝗯𝗲 𝗯𝗿𝗼𝗮𝗱𝗹𝘆 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝘇𝗲𝗱 𝗶𝗻𝘁𝗼 𝘀𝗲𝘃𝗲𝗿𝗮𝗹 𝘁𝘆𝗽𝗲𝘀: -Short Term Memory -Long Term Memory -Episodic Memory -Semantic Memory Still evolving — continuous improvements are being made to refine how AI systems store, retrieve, and use memory for more human-like intelligence. #AI #Mem0 #GenAI #Memory #RAG