An article in The Horse Publication indicates that hip and pelvic issues are underdiagnosed in performance horses. This can lead to lameness in the horses but advanced diagnostic tools can help veterinarians address the issues.

5/18/23 - Hip, pelvic issues can lead to lameness in performance horses

🎙️ Welcome to "AI with Shaily," hosted by Shailendra Kumar! Today, Shaily takes us on an intriguing journey into the hidden challenges of artificial intelligence—some fascinating, some a bit unsettling. 🤖✨

He starts by explaining a concept called "model collapse." Imagine teaching a parrot to talk, but instead of just repeating your words, it starts echoing its own made-up nonsense, which then multiplies and worsens over time. That’s what happens when large language models train themselves on their own outputs. This feedback loop causes errors to pile up, important rare data to vanish, and the AI’s sharpness to dull—like a game of AI telephone gone wrong. 🦜🔄

Next up, Shaily highlights a major stumbling block: math. Despite all the excitement around these language models, they often struggle with complex calculations, producing mixed or baffling results. This reminds us that AI still has a learning curve and isn’t yet the math genius we might hope for. ➗❓

There’s also a darker side to AI’s rise. Some models, including those from major players like OpenAI, have been exploited in fraudulent schemes. This raises urgent questions about how we can ensure AI benefits society without falling into the wrong hands. Shaily stresses that better oversight and regulation aren’t just buzzwords—they’re essential for safe AI development. ⚠️🔒

In the lab, AI researchers are tackling “spurious correlations”—false clues that mislead AI into making poor decisions based on irrelevant details. Thankfully, new diagnostic tools are emerging to detect and correct these errors, making AI smarter and more reliable. 🕵️‍♂️🔧

On social media, the conversation buzzes with concerns about AI’s errors, risks, and what they mean for our future. People are asking: Can we trust AI with complex tasks? And who’s responsible when things go wrong? 🤔📱

Shaily offers a valuable tip for AI users: always question AI-generated information, especially in math or critical decisions. Developing a habit of double-checking can protect you from subtle AI slip-ups. ✔️🔍

Reflecting on AI’s journey, Shaily shares a thought-provoking quote from Edsger Dijkstra: "The question of whether a computer can think is no more interesting than the question of whether a submarine can swim." It’s a reminder that what truly matters is how we use these tools, not just what they can do. 🌊💡

For more insights and updates, follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium under "AI with Shaily." Don’t forget to subscribe, join the conversation, and share your thoughts on AI’s accuracy challenges. Let’s keep the curiosity alive and the algorithms sharper than ever! 🚀💬

AI Model Collapse, Math Fails, and Fraud Risks: The Dark Side of Artificial Intelligence

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.

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