Nikil Ragav’s Post

Can AI Be Superhuman? Flaws in Top Gaming Bot Cast Doubt By learning exploits from adversarial AI, people could defeat a superhuman Go-playing system BY MATTHEW HUTSON & NATURE MAGAZINE The board game Go is a high-profile test of machine-learning capabilities. Artificial Intelligence Talk of superhuman artificial intelligence (AI) is heating up. But research has revealed weaknesses in one of the most successful AI systems — a bot that plays the board game Go and can beat the world’s best human players — showing that such superiority can be fragile. The study raises questions about whether more general AI systems will suffer from vulnerabilities that could compromise their safety and reliability, and even their claim to be ‘superhuman’. “The paper leaves a significant question mark on how to achieve the ambitious goal of building robust real-world AI agents that people can trust,” says Huan Zhang, a computer scientist at the University of Illinois Urbana-Champaign. The analysis, which was posted online as a preprint in June and has not been peer reviewed, makes use of what are called adversarial attacks — feeding AI systems inputs that are designed to prompt the systems to make mistakes, either for research or for nefarious purposes. For example, certain prompts can ‘jailbreak’ chatbots, making them give out harmful information that they were trained to suppress. In Go, two players take turns placing black and white stones on a grid to surround and capture the other player’s stones. In 2022, researchers reported training adversarial AI bots to defeat KataGo, the best open-source Go-playing AI system, which typically beats the best humans handily (and handlessly). Their bots found exploits that regularly beat KataGo, even though the bots were otherwise not very good — human amateurs could beat them. What’s more, humans could understand the bots’ tricks and adopt them to beat KataGo. Was this a one-off, or did that work point to a fundamental weakness in KataGo — and, by extension, other AI systems with seemingly superhuman capabilities? To investigate, the researchers, led by Adam Gleave, chief executive of FAR AI, a non-profit research organization in Berkeley, California and co-author of the 2022 paper, used adversarial bots to test three ways of defending Go AIs against such attacks. The first defence was one that the KataGo developers had already deployed after the 2022 attacks: giving KataGo examples of board positions involved in the attacks, and having it play itself to learn how to play against those positions. That is similar to how it taught itself to play Go more generally. But the authors of the latest paper found that an adversarial bot could learn to beat even this updated version of KataGo, winning 91% of the time.

Machine Learning and AI are already transforming the gaming industry! A couple of weeks ago, the Chinese gaming house Game Science launched Black Myth: Wukong. It sold over 10 million units within three days of its release on August 20, 2024. By the tenth day, it remained the top-selling game globally and ranked second in the U.S. by revenue on the Steam platform, where it’s priced around $60 or more. In China, gamers are struggling to find a PS5 since the launch, with players worldwide raving about their experience with the game. I did some research on how this game was developed and discovered some fascinating facts about the use of AI and ML, which may have significantly contributed to the overwhelmingly positive experience of solo players! Here are some highlights: 🤖 Dynamic NPC Behaviour: AI enables NPCs to react, learn, and adapt in real time, creating a lifelike gaming experience. 🧠 Machine Learning: NPCs evolve and develop strategies based on player actions, ensuring each playthrough feels unique. 💬 Natural Language Processing: NPCs engage in more natural, meaningful dialogues, enhancing immersion. 🎭 Emotional Intelligence: NPCs exhibit emotions like fear and joy, reacting to players' actions, adding depth to gameplay. ⚡ Real-Time Decision-Making: AI-driven NPCs make decisions that dynamically alter the game environment. The game also uses NVIDIA DLSS, the award-winning AI rendering technology that boosts graphics performance in games and apps using dedicated Tensor Core AI processors on GeForce RTX GPUs. #gaming #AI #MachineLearning #BlackMythWukong

How AI generates images! Like normal gaming computers, AI has a type of brain. AI works with the help of an algorithm known as GANS (Generative Adversarial Network). So how does this GANS work? Watch full video Follow galtechschool! for more AI-related content! Reach Us ➡️ 📞 0480 273 0123 / +917012716483 🌐 www.galtechlearning.com  📧 info@galtechlearning.com #AI #ArtificialIntelligence #ImageGeneration #Technology #Innovation #NeuralNetworks #GaltechSchool 

Gaming? Sure. But GPU clusters are the backbone of AI and big data breakthroughs. 💡🚀 Think bigger with GPU power! #GPU #GPUServer #GamingServer #gpuperformance #deeplearning #AI #artificialintelligence #dataanalytics #TechInovation #tech #technology

You might think AI teammates in games are a gimmick—but they could redefine human connection. As AI characters become more lifelike and dynamic, interacting with them blurs the line between virtual and real relationships. It's not just about having an AI sidekick to help you win. It's about the emotional bonds we form with these digital entities. CPCs like Nvidia's ACE characters challenge our notions of companionship. Can an AI truly be a friend? Do we risk replacing human interaction with artificial connections? The implications extend far beyond gaming. As AI becomes more integrated into our lives, it will reshape how we relate to others—both human and machine. It's a brave new world where the boundaries of personhood are tested. How we navigate these uncharted waters will define our shared future. #AICompanions #HumanMachineRelationships #FutureOfGaming #JamieBykovBrett #BykovBrettEnterprises

Why Are Large Language Models Excelling at Regression? HIGHLIGHTS -LLMs showcase remarkable flexibility in regression tasks. -Claude 3 challenges traditional regression methods. -Research supports LLMs' adaptability in computational scenarios. Learn More: https://lnkd.in/du_fEtRg Get the latest #technology #electricvehicles #apple #iphone #samsung #galaxy #ai #openai #nvidia #space #robotics #cybersecurity and #gaming news on NEWSLINKER!

So began the great pirate era! 😄 Interesting read tho.

🧠🖥️ From Gaming to AI: The DirectX Legacy! 🎮🤖 #TechEvolution: On September 30, 1995, Microsoft's DirectX changed gaming. Today, it's powering AI! 🚀 Key Points: DirectX: Originally for standardizing GPU access in games Now: Crucial for AI and machine learning DirectML: Microsoft's API for hardware-accelerated AI The same tech that gave us stunning graphics is now training neural networks and running complex AI models! 🧠💻 Fun fact: Your GPU, originally built for games, might be crunching AI algorithms right now! 🤯 Next time you use AI-powered features, remember - they're running on the descendants of 90s gaming tech! #AI #MachineLearning #DirectX #TechHistory #Innovation

What happens when you combine a board, camera, AI and a projector? Is it in vain? Is it a plane? No, its an educational game! Read more below about our yet another collaboration with BMK - Biznio mašinų kompanija https://lnkd.in/edJqCqGx #AI #artificialintelligence #automation #businesstransformation #lean #operations #digitaltransformation

DeepSeek's recent AI breakthrough reminds me of the retro gaming era - creativity born from constraints. Just as 80s game developers created magic with tiny memory budgets and cpu speeds. DeepSeek's team turned H800 GPU limitations into an advantage. Through clever optimization and innovative architecture, they matched top AI models at a fraction of the usual cost. Sometimes, limitations don't hold us back - they push us to find smarter solutions. Link to deepseek-faq article : https://lnkd.in/eiJ7puzM #AI #Innovation #Technology #RetroGaming