How AI learns from data and improves over time

What are the main types of AI? A quick map you can use today: https://lnkd.in/dYHZun8E 🧭 By capability: Narrow AI powers spam filters, recommendations, and vision tools. AGI would match humans across tasks and remains theoretical. 🎓 By how it learns: Supervised uses labeled examples. Unsupervised finds patterns on its own. Self-supervised learns from raw data at scale. 🏗️ By how it thinks and is built: Neural models spot patterns. Symbolic systems follow explicit rules. Hybrids combine both. __ #artificialintelligence #ai2025 #machinelearning #deeplearning #generativeai #aiethics #explainableai #aistrategy #responsibleai #aifuture #aianddesign #aiinbusiness #techtrends #aiinnovation #humancenteredai #clayglobal #claydesignagency #designagency #designstudio #designcompany #design

🔥 Pearadox Daily Picks — 5 Breakthroughs in AI You’ll Want to Know About Every day, we scan the latest AI papers so you don’t have to — and break them down in plain English you can actually use. Here’s what’s new 👇 ⸻ 1️⃣ Doctors’ Conversations Help Computers Order Tests Instantly A new system called JEDA listens to doctors’ natural conversations and automatically suggests the right medical tests — even when they don’t give explicit commands. It could make hospital workflows faster, safer, and more intuitive. 🔗 https://lnkd.in/e5GcWe74 ⸻ 2️⃣ Teaching AI to Learn Complex Tasks with Smart Instructions Meet ARM-FM, a framework that helps AI teach itself. It uses large language models to automatically create step-by-step “smart instructions,” helping machines learn difficult, multi-step jobs like a human following a recipe. 🔗 https://lnkd.in/ebb9BFvj ⸻ 3️⃣ Making Digital Characters Act and Look Real from Any Angle This research introduces a new way to train video diffusion models so digital characters stay perfectly consistent no matter how the camera moves. Think realistic 3D actors for movies, games, and virtual worlds — all powered by AI. 🔗 https://lnkd.in/eJaqBpGs ⸻ 4️⃣ AI Team Tackles Customer Service Backlog The MAFA framework uses a team of specialized AI agents to handle massive customer support workloads. Each bot takes on a different task, then they work together — cutting response times and saving companies thousands of hours. 🔗 https://lnkd.in/eKH8hJ66 ⸻ 5️⃣ Teaching Computers to Control Complex Systems with Smart Learning Contrastive Diffusion Alignment (ConDA) helps AI better understand and control dynamic systems — like fluid motion or brain activity — by organizing its internal “thoughts” for smoother, more interpretable behavior. 🔗 https://lnkd.in/eprf3PRK ⸻ 💡 Pearadox Daily turns complex AI research into quick insights you can read over coffee. Follow for tomorrow’s top 5 breakthroughs. 🔗 pearadox.app #AI #MachineLearning #HealthcareAI #VideoDiffusion #MultiAgentSystems #ReinforcementLearning #GenerativeAI #Pearadox

💭 A bigger brain doesn’t mean a better mind. We’re learning this the hard way — in both AI and life. Today’s biggest challenge in AI isn’t just training massive models. It’s teaching them to remember wisely — to know what to retain, what to forget, and how to connect the dots. Because the truth is: 🧠 Big models hoard data but often hallucinate. ⚙️ Smaller, nimble models with smarter memory and algorithmic discipline are now showing verifiable, provable reasoning. Turns out, performance isn’t about size. It’s about structure, recall, and reflection — the same way a human mind works best when it manages attention, memory, and focus. We don’t need more neurons. We need better wiring. So whether it’s a neural network or your own workday — Don’t chase “bigger.” Chase clarity, precision, and intelligent memory. Because real intelligence — human or artificial — is measured not by how much it knows, but by how well it remembers what truly matters. #AI #MemoryManagement #CognitiveArchitecture #SmartWork #raktimthoughts

🔥 Pearadox Daily Picks — 5 Breakthroughs in AI You’ll Want to Know About Every day, we scan the latest AI papers so you don’t have to — and break them down in plain English you can actually use. Here’s what’s new 👇 ⸻ 1️⃣ Old Rules vs. New AI for Farm Facts This study compares traditional rule-based systems with modern LLMs for pulling info from farm interviews — and the AI approach comes out faster, smarter, and more accurate. 🔗 https://lnkd.in/eV88DV4r ⸻ 2️⃣ Mamba Learns Like a Human A new AI model called Mamba can spot hidden patterns and learn new tasks on the fly — bringing us closer to fast, flexible, human-like learning. 🔗 https://lnkd.in/eVeiWBu7 ⸻ 3️⃣ Cleaning Up Confusing Prompts Curative Prompt Refinement (CPR) fixes unclear questions before AI answers them — cutting down on “hallucinated” or made-up responses. 🔗 https://lnkd.in/ebkRsjGH ⸻ 4️⃣ Teaching AI to Understand Questions Better Multi-stage Prompt Refinement (MPR) helps AI interpret messy prompts step-by-step — reducing errors and improving reliability. 🔗 https://lnkd.in/eiXgJp3U ⸻ 5️⃣ Smart Factory Detective CausalTrace helps factories find the real cause of equipment issues by combining AI insights with expert knowledge — making industrial AI more explainable. 🔗 https://lnkd.in/eG92CQh9 ⸻ 💡 Pearadox Daily turns complex AI research into quick insights you can read over coffee. Follow for tomorrow’s top 5 breakthroughs. 🔗 pearadox.app #AI #MachineLearning #PromptEngineering #ManufacturingAI #InContextLearning #InformationExtraction #TrustworthyAI #Pearadox

Here is your LinkedIn post: 🧠 Revolutionizing AI Agents: Model-Native Intelligence for Planning & Tools A new tutorial explores designing AI agents that internalize planning, memory, and multi-tool reasoning within a single neural model. This approach uses end-to-end reinforcement learning, eliminating reliance on external orchestration for these complex functions. How will this shift impact AI development? * Enables more compact, efficient, and integrated AI systems. * Paves the way for agents with more autonomous learning capabilities. * Drives advancements in complex reasoning tasks like arithmetic. Learn more about this news in the full article: https://lnkd.in/dWtuHR8U How do you foresee model-native agents transforming real-world applications? #AIAgents #ReinforcementLearning #EndToEndLearning #CognitiveAI #ModelNativeAI #AIInnovation

The next leap in AI won’t just be about intelligence it’ll be about awareness. Anthropic has developed a method to test whether Claude can actually understand its own thoughts. Using a new technique called concept injection, researchers “planted” specific neural patterns (like ALL CAPS or LOUDNESS) inside the model’s activations and then asked Claude to describe what was happening in its own mind. Claude Opus 4.1 could correctly identify these hidden “mental” patterns about 20% of the time. The model isn't just predicting text, it’s beginning to recognize its own state of thinking. This discovery hints at the dawn of AI introspection where systems that can monitor, reflect and even critique their own reasoning. It’s like giving AI a mirror for its own mind. We’re not talking full self-awareness yet but the foundation is being laid for more trustworthy, self-auditing and reflective systems. For product managers and builders, this could mean a future where AI tools can explain their reasoning, flag their own biases and make our decision-making more reliable. The implications go beyond technology, they touch the philosophy of creation itself. #ArtificialIntelligence #ProductManagement #AIProductManagers #MachineLearning #ProductThinking

Is a trillion-parameter AI model the next leap in reasoning capabilities? 🧠 A major tech organization just unveiled a new language model designed to balance computational efficiency with advanced reasoning. Here's what you need to know: This model marks a significant advancement in AI capabilities. It aims to improve performance on reasoning benchmarks. The release highlights the growing trend towards larger, more complex AI models. Why does this matter? It signifies a push towards AI that can not just process information, but truly understand and reason, potentially revolutionizing industries from finance to research. What are your thoughts on the rise of these massive AI models? Share your predictions below! 👇 #AI #LargeLanguageModels #Reasoning #Innovation #FutureofAI

Exploring the Power of AI – My First AI VIDEO ! Excited to share my initial attempt at leveraging artificial intelligence to enhance productivity and creativity. This is just the beginning, and I’m looking forward to refining and expanding these capabilities over time. If you're curious or interested in learning more, feel free to drop a comment below — happy to connect and share insights! #AI #Innovation #LearningJourney #DemoDay #ProfessionalGrowth

The Agentic AI Universe; A Glimpse into the Future AI’s journey has been nothing short of extraordinary. We’ve evolved from systems that perceive and reason → to learn and generate → now heading toward autonomous, collaborative intelligence. • Core AI: Problem-solving & planning • Machine Learning: Learning from data • Neural Networks: CNNs, RNNs, optimization • Deep Learning: Transformers, LLMs, transfer learning • Generative AI: Chatbots, copilots, RAG, media generation • AI Agents: Memory, planning, tool use, collaboration • Agentic AI: Self-healing, autonomous, governed, and safe This evolution marks a shift from thinking → learning → creating → acting. AI is no longer just a tool. It’s becoming a partner in innovation, capable of adapting, collaborating, and improving itself. Which layer do you think will shape our world the most in the next 5 years? #AgenticAI #ArtificialIntelligence #AITrends #GenerativeAI #AIAgents #FutureTech

Redefining Communication: The Impact of Generative AI on Labor Market Signaling [pdf] https://lnkd.in/geP8M83e Unlocking the Future of AI: A Deep Dive into the Journey of Jesse Silbert Explore the transformative insights from Jesse Silbert's latest article on artificial intelligence, where pioneering ideas converge with practical applications. This piece is a must-read for AI enthusiasts eager to stay ahead in the tech landscape. Key Takeaways: Innovative Concepts: Dive into groundbreaking theories that are reshaping the AI sector. Practical Applications: Discover how these insights impact real-world scenarios, enhancing productivity and efficiency. Future Trends: Understand the key trends defining the trajectory of AI and how they influence industries. Jesse’s work speaks directly to those passionate about tech advancements. By blending theory and application, it bridges the gap between knowledge and practical use. Curious to learn more? Click the link and immerse yourself in the future of AI. Don't forget to share your thoughts and join the conversation! Your insights matter in our evolving AI community. Read More Source link https://lnkd.in/geP8M83e