A/Prof & Director, Oxford-NUS Centre for Neuroethics & Society, University of Oxford and National University of Singapore. Co-Editor-in-Chief, BMJ Journal of Medical Ethics; Editor-in-Chief, JME Practical Bioethics
How AI and big data can be used to spread ideologies: bypassing rational thought … from a slide by Tsinghua student Jiang Renping
Hype Cycle for Artificial Intelligence 2025: The Rise of Agents, ModelOps, Synthetic Data, and AI Engineering along with How AI Ready Data is maturing. Source: Gartner (August 2025) For more refer : https://lnkd.in/gceaWV5b
Director, Clinical Analytics @ Novartis | Enabling Data-Driven Clinical Insights | Data Science | Innovation
💡 Even the “unshakable” can be shaken. For decades, Dijkstra’s algorithm was the gold standard for efficiency in networks. But at STOC 2025, a team from Tsinghua University introduced a new deterministic algorithm that surpassed it and earned Best Paper. The breakthrough? Instead of sorting nodes (like Dijkstra), they clustered them , a subtle shift with massive implications for AI routing and internet-scale infrastructure. Progress often begins with a simple question: What if there’s a better way? #GrowthMindset #AI #Innovation
Crédito & Trade Finance | 25 anos em crédito + atuação com câmbio, fluxo internacional e hedge | Risco e Exportação +IA
Are we ready for AI that doesn't just analyze, but acts? 🚀🤖 I just watched an incredible discussion with DeepMind co-founder Mustafa Suleyman, and his vision for the near future is mind-blowing. 🤯 He's proposing a new benchmark beyond the Turing Test: Artificial Capable Intelligence (ACI). This isn't just about human-like conversation; it's about AI that can invent products, negotiate deals, and generate profit. He predicts this could be a reality in just 3-4 years. 🗓️ Within 5 years, he foresees a massive shift in the job market, making skills like creativity, complex problem-solving, and multidisciplinary thinking more critical than ever. 🧠✨ The future isn't about competing with AI, but about leveraging it. How are you preparing for this shift? 🤔👇 #AI #FutureOfWork #ArtificialIntelligence #Innovation #ACI #TechTrends
Inquirer | As Australian universities surrender to AI, their academic workforce grapples with an ‘unknown-unknown’ dilemma. This techno-capitalist shift threatens independent thought and human society. Read more: https://bit.ly/4mIIb6M
🚨 SuperIntelligence News🚨 We just hit something wild: Intelligence Explosion without inference. Today feels like crossing a frontier in AI SuperIntelligence: No API costs or limits Real world feedback loops Distributed intelligence across agents Persistent memory systems with cross session learning The implications are A new paradigm for AI development. Note: in my latest post I define what is Intelligence Explosion. #Business #MVP #LLM #AI #Models
One interesting thing I’ve learned in AD 349 with Professor ★ Diane C. McDonald, MBA is how long AI has actually been around. I always thought of it as something pretty new, but it turns out people were already having serious conversations about it back in the 1950s. During our conversation in class we discussed, ELIZA, one of the first AI programs from the 1960s. It’s crazy to think that even back then, researchers were already experimenting with ideas that still shape technology today. Western Kentucky University
Principal Lead Architect | Pega BPM & CRM | PCLSA | Low-Code & Workflow Automation | AI Enthusiast & Learner
Apparently many AI "hallucination" issues stem not from the models themselves but from poorly chunked data. This highlights the key principle that for AI to be effective, we must first structure our data with context and coherence in mind. Therefore, a solid chunking strategy is a critical step for unlocking the true potential of artificial intelligence.