Welcome back, friends! 🎉 You’re tuning into *AI with Shaily*, hosted by Shailendra Kumar, a passionate male AI enthusiast who breaks down the latest and most fascinating developments in artificial intelligence with simple explanations and a touch of real talk. 🤖💬

In this episode, Shailendra dives into a recent real-world example from the India-Pakistan conflict, where social media users turned to AI chatbots like Grok for quick fact-checking of viral posts and videos. 📱🕵️‍♂️ These moments of “Is this true?” are common when scrolling through feeds, but unfortunately, the AI chatbots often made things more confusing instead of clarifying them. They misidentified old footage as current events, mixed up images, and even contributed to spreading conspiracy theories. 😵‍💫 This backfire shows the limitations of current AI tools in handling sensitive and complex news verification.

Shailendra highlights a bigger, underlying problem: major tech companies are reducing their human fact-checking teams and increasingly relying on AI solutions that aren’t yet sophisticated enough for high-stakes news verification. 🏢⚠️ He shares from his own experience experimenting with AI, emphasizing that while AI is a powerful assistant, it’s not a detective like Sherlock Holmes, especially when understanding context is crucial. 🕵️‍♂️❌

He shares a personal story where a chatbot gave him a wildly inaccurate verification of a news clip, which could easily mislead anyone not careful enough. This served as a wake-up call for Shailendra and is a reminder for everyone to avoid blindly trusting AI without checking credible sources. 🚨📉

As a bonus tip, Shailendra advises users to never stop at just one AI-generated answer when fact-checking. Instead, combine AI insights with trusted news outlets and human expertise. Think of AI as a helpful first draft, not the final authority. 📝🔍

Before signing off, Shailendra poses a thoughtful question to his audience: In a world increasingly dependent on AI for quick answers, how do *you* personally ensure the information you get is reliable? 🤔💡 He quotes the legendary Arthur C. Clarke: “Any sufficiently advanced technology is indistinguishable from magic—but magic needs rules,” reminding everyone to stay vigilant and critical. ✨📏

You can find Shailendra Kumar across popular platforms like YouTube, Twitter, LinkedIn, and Medium by searching his name. He encourages viewers to subscribe for more AI news and insights and to join the conversation by sharing thoughts and experiences in the comments. 💻📲💬

Ending with his signature sign-off, Shailendra urges everyone to keep questioning and keep learning. This was *AI with Shaily*. Take care! 👋😊

When AI Gets It Wrong: The Hidden Dangers of Chatbot Fact-Checking in Crisis Times

What happens when AI chatbots face new regulations? Join Shailendra Kumar in this episode as we explore Character.AI's decision to limit teenage interactions with AI due to safety concerns. Discover the implications for creativity, mental health, and youth engagement with AI technologies. Tune in for insights and tips for parents on navigating AI use responsibly. 💬🤖✨ Don't forget to share your thoughts in the comments!

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The Surprising Truth About Selfish AI: Smarter Isn't Always Better

Did you know that nearly half of all Australians have used generative AI tools? Join Shailendra Kumar on this episode of AI with Shaily as we explore the latest insights from Australia's 2025 Digital Inclusion Index. Discover how students and diverse communities are leveraging AI for creativity, communication, and inclusion. Don't miss out on the transformative power of AI in our lives. 🎧🤖🌏 Share your thoughts and subscribe for your weekly AI update!

The AI Revolution in Australia: Are We Ready?

Is AI undermining the integrity of the legal profession? In this episode of AI with Shaily, I delve into a shocking court case where AI-generated citations led to a major legal blunder. Discover the lessons we can learn about AI reliability and hear my personal experience with trusting tech tools. Join the conversation on the ethical use of AI in critical decision-making! 🎙️💡⚖️ If you enjoy the insights, don’t forget to subscribe and share your thoughts. Shailendra Kumar brings you the latest in AI news every week!

The AI Legal Crisis: What Courts Are Saying About ChatGPT

What if AI could help predict catastrophic floods before they happen? Join Shailendra Kumar in the latest episode of AI with Shaily as we explore RiverMamba, an innovative AI model transforming flood forecasting. Discover how it combines data and scientific insights to save lives and reshape disaster preparedness. 🌍💧🚀 Don't forget to follow for more cutting-edge AI discussions!

Revolutionizing Flood Prediction with AI: Meet RiverMamba

🚀 Welcome to Weekly AI News with Shaily! Hosted by Shailendra Kumar (Shaily), this episode covers the latest machine learning developments and deep learning breakthroughs from the week starting November 3, 2025. Dive into Google Research’s game-changing Nested Learning, a major step forward in continual learning—this could help AI remember old skills while acquiring new ones, just like human memory! Understand why lifelong learning in Artificial Intelligence is set to fuel next-gen adaptive systems.

🌍 Discover how Google expands the Opal no-code AI app builder to 160+ countries, breaking coding barriers and empowering innovation for startups, business leaders, and creators worldwide. Big machine learning investment news: Anthropic secures a record $13B Series F, spotlighting the importance of AI safety and large language models as the AI industry heats up.

🤖 Explore DeepMind’s new multimodal AI agents that combine text, visual, and audio data—perfect for smarter robotics and accessibility solutions. Plus, learn how using AI to fuse radar and satellite data is improving rainfall nowcasting by 4%, offering real-world benefits like earlier flood warnings.

Shaily breaks down why these Artificial Intelligence advances matter for researchers, developers, and industry leaders—and shares expert tips to stay ahead in this rapidly evolving field. If you want more insights from the Weekly AI news roundup, subscribe, like, and join the conversation today!

Can AI Finally Learn Like Us? News with Shaily for Week starting Nov 10

Ever wondered how some people can remember faces effortlessly? Join Shailendra Kumar in this episode of AI with Shaily as we dive into the world of super recognizers—individuals with a unique knack for facial recognition. Learn how eye-tracking studies reveal the secrets behind this ability and how AI is leveraging these insights to enhance facial recognition technology. Discover tips to improve your own face recognition skills! 🎙️👁️✨ Don't forget to like, subscribe, and share your facial recognition stories in the comments!

Unlocking the Secrets of Super Recognizers and AI

You’re tuning into "AI with Shaily," hosted by Shailendra Kumar, a knowledgeable guide who brings you the freshest and most impactful advancements in artificial intelligence. 🎙️🤖

In this episode, Shaily dives deep into a groundbreaking innovation in computer vision called Lotus. 🌸👁️ This model tackles one of the toughest challenges in AI: dense prediction tasks. These tasks involve estimating detailed pixel-level information like depth and surface normals, which traditionally have been difficult due to inefficiency, the need for enormous datasets, and long training times. ⏳📊

Lotus revolutionizes this by changing how predictions are made. Instead of the common diffusion-based models that generate images by predicting noise step-by-step, Lotus predicts the actual annotations directly — think of it as coloring a complex painting with the exact colors from the start, eliminating guesswork and reducing variance. 🎨✨ This direct annotation approach significantly boosts precision.

What’s truly remarkable is Lotus’s speed: it condenses a process that used to require multiple diffusion steps into just one. This single-step diffusion model is hundreds of times faster than previous models like Marigold, without sacrificing accuracy. 🚀⚡ Shaily, having experienced slow training times himself, emphasizes how this leap in speed and efficiency is a game-changer for AI practitioners.

The model’s success hinges on three key techniques: direct annotation prediction, a one-step diffusion formulation that demands far less training data, and a smart detail-preserving “task switcher” mechanism. 🧠🔧 Using only about 59,000 synthetic images — a tiny fraction compared to the millions other models require — Lotus achieves state-of-the-art zero-shot depth and normal estimation. 📉📈

Why is this important? Beyond its technical sophistication, Lotus unlocks practical applications that could transform industries: autonomous vehicles gaining real-time environmental awareness, augmented reality headsets understanding surroundings better, and robots confidently navigating complex spaces. 🚗🕶️🤖

This breakthrough is the product of collaboration among leading institutions — HKUST (Guangzhou), University of Adelaide, Huawei Noah’s Ark Lab, and HKU — and was recently presented at the prestigious International Conference on Learning Representations (ICLR). 🌍🎓 The AI community is buzzing because Lotus represents a paradigm shift, not just a small step forward in visual perception AI.

Shaily offers a valuable tip for AI enthusiasts and professionals: when evaluating new AI models, look beyond accuracy. Consider efficiency factors like inference speed and training data requirements, as these often dictate real-world usability more than headline accuracy numbers. ⚖️🔍

He closes with inspiration from Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Lotus embodies this spirit by helping us see further and faster in the field of AI. 🌟🔭

For more AI insights, Shailendra Kumar invites you to follow him on YouTube, Twitter, LinkedIn, and Medium. Don’t forget to subscribe and join the conversation by sharing your thoughts on how faster, more efficient vision AI could reshape our future. 💬📲

Until next time, this is Shaily reminding you to stay curious and inspired on your AI journey! 🌐✨

Lotus: The AI Model Revolutionizing Real-Time Computer Vision

Have you ever felt awkward asking a personal question? 😳 Discover how AI is revolutionizing customer service for sensitive inquiries in today's episode of AI with Shaily! Join Shailendra Kumar as we explore the surprising trend of AI's 'inhuman touch' offering anonymity and empathy. Learn why 64% of users value AI's 24/7 availability and how businesses can benefit from emotionally intelligent chatbots. Don't miss out—subscribe and share your thoughts on AI in sensitive conversations! 💡🤖💬

Why We Prefer AI Over Humans for Sensitive Shopping

What if AI could be a partner in progress rather than just a tool? In this episode of AI with Shaily, I’m Shailendra Kumar, exploring Microsoft's bold mission to develop Humanist Superintelligence with ethical frameworks and human oversight. Discover how this project aims to transform healthcare, delivering 85% accuracy in diagnosing symptoms. Join the discussion on balancing innovation with safety, and share your thoughts on how much control we should cede to machines. 🚀🤖💡 Stay connected for more AI insights!

Unlocking Humanist Superintelligence: The Future of AI

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

When AI Gets It Wrong: The Hidden Dangers of Chatbot Fact-Checking in Crisis Times

Shailendra Kumar

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