China's AI advantage over US

As AI, particularly LLMs, advance, what unique value remains for human output? The ability to 'vibe'—to intuitively grasp or create—can get you through a music festival, but not through complex understanding. True comprehension requires dedicated effort. While LLMs can aid learning like literacy or the internet, they can't directly translate output into genuine understanding. Full video with Curt Jaimungal: https://lnkd.in/eYgYmANF A critical, often overlooked, risk is mistaking an LLM's generated output for one's own understanding. The ease with which eloquent text can be produced now challenges how we've historically assessed comprehension. Unlike a calculator, which doesn't claim to understand arithmetic, LLMs can create a deceptive illusion of understanding. Humanity's journey is marked by realizing tasks were pursued for unexpected reasons. The printing press revealed that memorization wasn't the sole vessel of wisdom; photography shifted our view of painting. Similarly, LLMs highlight that producing beautiful prose doesn't equate to internal comprehension. Therefore, create not for the sake of elegant output, which LLMs can readily provide, but for the arduous, essential process of cultivating genuine understanding—a uniquely human endeavor. #ArtificialIntelligence #Understanding #Learning #Humanity #CriticalThinking #ThoughtLeadership

In July 2025, a humanoid robot named Xueba 01 officially signed up for a four-year PhD program, becoming the world's first android doctoral student in the field of drama and art Institution: Xueba 01 was accepted by the Shanghai Theatre Academy (STA) in collaboration with the University of Shanghai for Science and Technology (USST). Field of Study: The robot is pursuing a doctorate in Digital Performance Design, focusing on traditional Chinese opera, with a curriculum including stage performance, scriptwriting, and set design. Capabilities: Xueba 01 stands 1.75 meters tall, weighs about 30 kg, and features a silicone skin capable of producing over 100 lifelike facial expressions. It is designed for social interaction and can perform for over six hours continuously. Mentorship & Training: The robot is assigned a mentor, Professor Yang Qingqing, and uses motion capture technology to study and record human performers, aiming to bridge AI with traditional art. Reaction & Controversy: The move sparked debate, with some questioning if AI can truly grasp the emotional depth of art, while others raised concerns about resource allocation, as some human arts PhD students in China receive limited funding. Xueba 01 is an advanced version of the "Xingzhe No. 2" humanoid robot, which previously placed third in a humanoid half-marathon.

**Artificial Intelligence for Art Creation and Understanding**   Edited by Luntian Mou   Published by CRC Press (Taylor & Francis Group), 2024  This edited volume presents state-of-the-art AI technologies for art creation, understanding, and evaluation. It explores AI-generated content (AIGC) applications across various artistic domains, including cross-modal generation of visual and auditory content, explainable AI in music, AI-enabled robotic theater for Chinese folk art, restoration of ancient Chinese music, brainwave opera, artistic text style transfer, data-driven choreography, human-AI collaborative sketching, emotion-based personalized music recommendation and generation (MemoMusic), brain-based music and emotion understanding, music question answering, emotional quality evaluation of generated music, and AI-driven image aesthetic assessment. **Key details**   - **Number of pages**: 361   - **Illustrations**: 133 color & 30 black/white  The book offers valuable insights for researchers, practitioners, and enthusiasts at the intersection of artificial intelligence and artistic expression. If you're interested in staying informed about new publications in IT, AI, and machine learning, feel free to send me a LinkedIn connection request. #ArtificialIntelligence #AIArt #GenerativeAI #AIGC #MachineLearning #MultimediaComputing #ArtAndTechnology #CreativeAI #DigitalArt

Will AI Take Away My Job? This is a question being asked often and publicly debated. Alongside are three images – one drawn by a person, one by a graphics artist using a software and the third one by AI. Depending on the skills that one wants to develop, AI will be a friend or a substitute. So, the key question is, what are the skills and capabilities that you need to develop to walk on the path that you have defined for yourself. Is that clear to you? If not, that is the issue to be addressed, not AI. #yancha #success #capabilities #parenting #childdevelopment www.yancha.in www.yanchateens.com

Last year, AI images looked impressive. This year, they look undetectable. I tested the latest Midjourney V6. Here’s what shocked me: • Photorealistic skin textures • Perfect text rendering inside images • Complex lighting accuracy • Consistent characters across variations It feels less like “AI art” and more like a professional photography studio in your laptop. As an AI/ML student, this excites me for one reason: These models are learning structure — not just style. Behind the scenes: * Diffusion models * Massive training datasets * Optimization at scale * Advanced prompt understanding The technical leap is insane. If you’re in AI, design, or tech — now is the time to experiment. Are you building with generative AI or just watching from the sidelines? #AIML #GenerativeAI #DeepLearning #Midjourney #AIStudents #TechFuture

Statistically, 90% of your LinkedIn feed is now "prompt engineers" pretending they went to art school. Artists often disparage AI art itself for being derivative to a rudimentary, crippling degree and see it as something to be avoided. But what about AI tools? Can they be used to our advantage? Is it worth using them?  Are the AI art tools democratizing art, or killing the craft? The answer is a little complicated. Say you have an image that you created but lost the original copy of, so all you have left is a smaller version of the original. In that scenario, it’s not entirely out of the question to use AI to upscale it, right? In fact, many Adobe products like Photoshop have these features built in, so there’s no avoiding it. The fact of the matter is, many of these tools are getting rolled into the very products that we use to shape and refine our artwork. We either have to move with the times and find ways to use them ethically or remain Luddites. At TERAVARNA, we get some artwork that’s either entirely AI or refined with AI, and we have to ask ourselves difficult questions. Do we accept this as artwork? Again, the answer is complicated. I have seen artists use images produced from neural networks; soupy, dream-like collage-ish images, and use them as a reference for their oil paintings. Conversely, I’ve also seen people type in a sentence and have AI churn out an image for them. This is to say that there are degrees to using AI in your artistic process. Some people have mastered using it as a tool, a natural stepping stone, while others rely on it heavily as a crutch. The scenario I stated earlier for upscaling lost art is one that I find myself in more often than I’d like. My thoughts on it personally? I have tried upscaling my own art using AI, and I’m just not happy with the results. It often introduces artifacts and errors and is still vastly imperfect. I would rather not have to resort to it at all, but as technology advances, it will become harder and harder to avoid it. #AIart #humanart #AIarttools #AIcreation

In the visual arts, working with AI is placing greater emphasis on communication and information discernment alongside technical skill in any medium. AI systems respond to structure and language, and mirror the precision of the prompter. This shifts the role of the educator. While policies around AI in the classroom are still developing and vary widely across institutions, its presence is already shaping how students work and learn. In the visual arts classroom, students are learning to articulate what they are trying to do and bring it into material form. AI can bring that process into sharper focus. In articulating, navigating, and refining their ideas, students are actively participating in a framework I’m calling AARR: Articulate, Anticipate, Respond, and Refine. This also reframes research in the visual arts classroom. Many contemporary artists already work this way. By building their practices through inquiry, reference, and structure, their work attains conceptual embodiment. AI expands access to that mode of working. And that has implications far beyond AI - a real shift.

Researchers train AI to better follow artists by sharing creative 'ground rules' Developing shared conceptual ground rules between humans and AI enhances collaboration in creative tasks, enabling more precise control over generative models for visual content. New tools improve AI's understanding of spatial composition, scene importance, and transparency through neuro-symbolic methods, supporting applications in design, animation, robotics, and education. https://lnkd.in/dfPih4Wa

AI and Creativity Summer Intensive | New course for Fine Arts students How can artists work with AI without losing authorship, intention, or critical perspective? This new course invites students to explore generative AI as a creative collaborator��guided by human agency, ethics, and artistic judgment. Through hands-on experimentation, critique, and discussion, students will develop methods to integrate AI into their practice while addressing key issues such as bias, authorship, and copyright. Using a Human → AI → Human workflow, this course is designed for undergraduate students in Concordia’s Faculty of Fine Arts who have an active creative practice and want to critically integrate generative AI into their work. The course is open to students across disciplines including film, design, media arts, scenography, writing, and music. 📅 May 11 – June 1, 2026 🎓 3-credit studio course 👥 Limited to 20 students The course is led by Christian Beltrami, BFA 96, artist and AI practitioner. Registration is now open. Learn more: https://lnkd.in/gyzeg8gC Milieux Institute Applied AI Institute Université Concordia #AIAgency #AIHumanCreativeWorkflow #AICreativity #NewCourse #AIEthics

The New Creative Paradigm The relationship between art and technology has always been intertwined. From the invention of oil paints during the European Renaissance to the emergence of photography in the nineteenth century, each technological shift has expanded the boundaries of artistic expression. In the early twenty-first century, artificial intelligence has become the latest and perhaps most transformative creative instrument. Generative AI systems—capable of producing images from textual descriptions—have fundamentally changed how artwork can be created, curated, and distributed. Read more at https://lnkd.in/gfqptrEA