Soon Agentic AI is going to takeover repetitive tasks. Chinese researchers have gone way ahead of connecting logical reasoning & task execution with the help of AI Agents. Manus AI shows unbelievable capabilities of task execution outperforming latest OpenAI's SOTA models. ⚛️
Manus AI outperforms OpenAI's SOTA models
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This is one of the most important discussions happening in AI right now, and it highlights exactly where the current trajectory hits a wall. LLMs have pushed linguistic pattern recognition to its limits, but language alone isn’t intelligence. It’s the shadow of thought, a byproduct of deeper dynamics we haven’t yet modeled. In General Dynamics (GD) terms, cognition is not an algorithmic process. It’s a flux-curvature system, a constant exchange between internal structure (curvature) and external influence (flux). Meaning doesn’t emerge from text; it emerges from the field interactions between systems capable of sustaining coherence across scales. LLMs compress symbols. True intelligence compresses dynamics, it learns from the curvature of experience itself. Where most current AI architectures separate signal and structure, GD treats them as inseparable: • Computation is curvature evolving under constraint. • Learning is field realignment under energy minimization. • Conscious reasoning is simply the persistence of flux through nested geometric memory, self-coherence over time. The next frontier in AI won’t come from larger models, it will come from geometrically consistent world models that unify signal, structure, and consequence. Systems that feel flux.
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DeepSeek's R1 Model Revolutionizes AI Performance: Chinese AI firm DeepSeek has unveiled its groundbreaking R1 model, marking a significant leap in AI performance while reducing training costs by 70% compared to similar U.S. models. This breakthrough is attributed to custom hardware and proprietary optimization techniques, positioning DeepSeek as a major competitor in the global AI landscape. The R1 model is set to be commercialized for enterprise and academic applications worldwide, offering a high-performance, cost-effective alternative in the AI race. Article link: https://lnkd.in/dQzc2gYi
DeepSeek R1 Model
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As AI becomes more integrated into our work, where should we draw the line between human creativity and machine efficiency?
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DeepSeek’s Vision Tokens: The Future of AI Memory Compression We’ve all heard the saying, “A picture is worth a thousand words.” But what if it became literal? What if a single image could store a thousand words of text—and AI could read it back almost perfectly? That’s what DeepSeek AI has achieved. Their new model, DeepSeek-OCR, isn’t just another document scanner—it’s a breakthrough in AI memory. Instead of using 1,000 text tokens, DeepSeek stores the same information using just 100 vision tokens and still retrieves it with 97% accuracy. OCR is just the demo. The real innovation is a powerful new way to compress and recall information—potentially solving AI’s biggest challenge: long-term context. This is more than text recognition. It’s AI learning to see to remember. #DeepSeek #AIInnovation #MemoryCompression #TechBreakthrough #FutureOfAI #XVanTech
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Really interesting talk by Jason Wei at Stanford University on where we are. 3 key ideas: 1. intelligence as a commodity - once something can be done by AI, the cost of doing it will be driven towards zero 2. "verifier's law" - the ability to train an AI to do a task is proportional to how easily verifiable the output is 3. the jagged edge of intelligence - advancement of AI is highly varied based on whether the task is digital, easy for humans, and the data for training is available Worth a watch. https://lnkd.in/gUuamZRs
Stanford AI Club: Jason Wei on 3 Key Ideas in AI in 2025
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📢 Big news from Qwen AI! They've just launched Qwen3-VL-30B-A3B-Instruct & Thinking—bringing powerful multimodal AI performance in a smaller, more efficient package 💡💪 🔍 With just 3B active parameters, it stands toe-to-toe with GPT-5-Mini & Claude4-Sonnet—often outperforming them in key tasks like STEM, VQA, OCR, Video, and Agent work. ⚙️ Now also available in FP8, including for the massive Qwen3-VL-235B-A22B! 🚀 Transform your AI workflows—check it out today! #AI #MachineLearning #MultimodalAI #Innovation #Qwen3
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🚀 Some AI tips coming your way! We’re all still figuring out how to get the best out of AI and that’s okay. What matters is learning, experimenting, and growing together. I’ve just published a short video breaking down the RISE Prompt Technique, a simple yet powerful way to structure your AI prompts for better, smarter results. 💡 R.I.S.E = Role • Intent • Structure • Expectation It’s a framework that helps you talk to AI like a pro, whether you’re a developer, student, or just starting out. 🎥 Check it out, and let me know what you think! https://lnkd.in/dwmGuAUQ More AI prompt tips are on the way. Let’s keep learning together. #AI #PromptEngineering #SoftwareEngineering #TechNuggets #ShiftTech #LearningTogether
The ABSOLUTE BEST AI Prompt Technique in 2025
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💫 Prompt Engineering vs Context Engineering — The Next Level of AI Design 💫 In the early days of AI, success depended on writing the perfect prompt.But as systems become more powerful and agentic, that’s no longer enough. We’re now entering the era of Context Engineering — designing how an AI model thinks, reasons, and interacts with its environment. Prompt Engineering tells the model what to do. Context Engineering defines how it thinks while doing it. Understanding both is the key to creating reliable, intelligent, and context-aware AI systems. #PromptEngineering #ContextEngineering #LLMs #AgenticAI #GenerativeAI #AI #ArtificialIntelligence #Inn
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A groundbreaking open-source innovation is reshaping how artificial intelligence interprets visual information. DeepSeek-OCR, released by AI firm DeepSeek, introduces a powerful new approach to extracting text from images with unprecedented efficiency and accuracy. DeepSeek OCR's revolutionary Contexts Optical Compression brings remarkable benefits: - Achieving 97% accuracy while reducing data tokens by 10× - Rapid processing of over 200,000 pages daily on a single GPU - Extensive multi-language support, including complex scripts - Recognizing intricate layouts, tables, and scientific figures This advancement enables enterprises and developers to leverage large language models, improve document insights, and transform operations in diverse industries. Learn more about this project at: [https://lnkd.in/gdhpW-KP] Empowering AI-driven document understanding - embracing the future! #AI #OpenSource #ComputerVision #OCR #DigitalTransformation #AIInnovations @ EspireInfolabs
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interesting!