AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.

Additional materials: www.superdatascience.com/668

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The Super Data Science Podcast: Machine Learning | AI | Success

668: GPT-4: Apocalyptic stepping stone?

🚀 Welcome back to *Weekly AI News with Shaily*! I’m Shailendra Kumar (Shaily), bringing you the top Artificial Intelligence breakthroughs and machine learning highlights for the week starting March 23, 2025. This episode unpacks foundational shifts in AI: from NTT Research’s nine accepted ICLR 2025 papers—especially their groundbreaking Physics of Artificial Intelligence group cracking the deep learning “black box”—to the game-changing I-Con framework from MIT, Google, and Microsoft, mapping machine learning methods and boosting benchmark performance by 8%. 🍰

We also spotlight Apple’s privacy-centric AI advances, making smart devices more secure and efficient, and discuss a seismic US policy pivot: Executive Order 14179, shaking up AI regulations to speed innovation. 🏛️

Why does it matter? Whether you’re a researcher seeking transparency, a developer mixing algorithms for efficiency, or a business leader eyeing AI strategy, these rapid developments could redefine trust, privacy, and leadership in AI.

Shaily dives in with accessible analysis and practical takeaways. Don’t miss answers to burning questions on regulation versus risk. If you love following the latest machine learning developments and deep learning breakthroughs, subscribe, share, and join the conversation!

👋 Listen, learn, and stay curious. Connect on YouTube, Twitter, LinkedIn, and Medium!

🚀 AI News with Shaily for Week Starting Apr 28: 8% ML Leap, “Black Box” Cracked?

Welcome back to *AI with Shaily*! 🎙️ Your host, Shailendra Kumar, is here to explore a hot topic buzzing among AI fans and policymakers: How will global policies regulate the development of Artificial General Intelligence (AGI)? 🤖🌍

While AGI-specific regulation isn’t yet trending heavily on social media, there’s a lot happening in the broader AI policy space that lays the groundwork. Think of it as the initial sketches before the full masterpiece of AGI governance emerges. 🎨✨

Recently, the Trump Administration introduced a comprehensive AI Action Plan focusing on innovation, infrastructure, and international diplomacy. This ambitious plan encourages unbiased AI development and facilitates building data centers to power innovation. It’s like rolling out a welcome mat for AI but with rules to keep things fair and balanced. 🏗️🌐

At the state level, Texas made headlines by passing the Responsible Artificial Intelligence Governance Act. This shows that states are no longer passive observers but active players shaping AI’s future within their territories. Imagine each state as a chess player making strategic moves that collectively influence the U.S. AI landscape. ♟️🏛️

On the financial and digital front, March 2025 marked a push in the U.S. for clearer regulations around digital assets and AI, especially after leadership changes in federal departments. This move aims to align AI with emerging technologies under one regulatory umbrella, bringing clarity and boosting investor confidence. 💼📊

However, on social media, conversations about AGI regulation specifically are still limited. Most discussions revolve around AI in general, blending policy debates with innovation trends. So here’s a big question to ponder: If AGI could revolutionize everything from healthcare to transportation, are we ready policy-wise? Or are we still catching up with regulations designed for narrow AI? 🏥🚗❓

Shailendra shares a personal reflection: When he first started working with AI, regulation was barely a whisper. Now, it’s clear that policies can either pave smooth highways for innovation or create hurdles. Governments worldwide are trying to strike a balance—encouraging breakthroughs while protecting society. It’s a delicate tightrope walk. 🎢⚖️

Bonus tip for AI policy watchers: Keep an eye on hashtags like #AIRegulation, #AIGovernance, and #AIPolicy. These are small windows into a vast, evolving conversation happening in real-time. 🔍💬

To close, Shaily quotes Alan Turing, the father of AI:  
*"We can only see a short distance ahead, but we can see plenty there that needs to be done."*  
These wise words perfectly capture the ongoing regulatory journey with AGI. 🧠🔮

If you enjoyed this episode, don’t forget to subscribe to *AI with Shaily* on YouTube, Twitter, LinkedIn, and Medium. Let’s keep the conversation alive! And Shaily would love to hear your thoughts—drop your comments on how global policies should approach AGI development. 💬🌟

Until next time, this is Shailendra Kumar signing off with curiosity and optimism in the ever-evolving world of AI! 🚀🤗

Global Policies and the Future of AGI: Navigating Innovation and Regulation

Middle East AI News by Carrington Malin brought to you by Qualcomm –The newly created Qualcomm’s Engineering Center in Abu Dhabi is driving transformative innovation across the UAE and beyond. It advances Industrial IoT, edge AI, and cloud — responding to the growing global demand for intelligent, high-performance solutions.  In this podcast: GCC & DCO join forces to transform region's future; Saudi regulator unveils five advanced RegTech solutions; ICAIRE leads Arab dialogue on ethical AI adoption

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GCC &  DCO join forces to transform region's  future

The Middle East AI News Minute gives you a daily one-minute daily briefing on the top AI-related stories coming out of the Middle East. If you are a busy technology, business or government leader who want to get a quick update, then this is the podcast for you.

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.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

New tracks tagged #AI Policy