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Unlock the Secrets of AI Learning! ????Ever wondered how generative AI, the powerhouse behind stunning images and sophisticated text, truly learns? Park et al.'s groundbreaking study, ‘Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space,’ offers a revolutionary new perspective. Forget black boxes – this research unveils a "concept space" where AI learning becomes a visible journey!By casting ideas into geometric space, the authors bring to life how AI models learn step by step, stripping bare the order and timing of their knowledge. See the crucial role played by the "concept signal" in predicting what a model is first going to learn and note the fascinating "trajectory turns" revealing the sudden "aha!" moments of emergent abilities.This is not a theoretical abstraction – the framework has deep implications in the real world:Supercharge AI Training: Optimise training data to speed learning and improve efficiency.Demystify New Behaviours: Understand and even manage unforeseen strengths of state-of-the-art AI.Debug at Scale: Gain unprecedented insights into the knowledge state of a model to identify and fix faults.Future-Proof AI: This mode-agnostic feature primes the understanding of learning in other AI systems.This study is a must-read for all who care about the future of AI, from scientists and engineers to tech geeks and business executives. It's not only what AI can accomplish, but how it comes to do so.Interested in immersing yourself in the captivating universe of AI learning?Click here to read the complete article and discover the secrets of the concept space! #AI #MachineLearning #GenerativeAI #DeepLearning #Research #Innovation #ConceptSpace #EmergentCapabilities #AIDevelopment #Tech #ArtificialIntelligence #DataScience #FutureofAI #Interpretability

Make your Python code more readable and concise 🐍💻

Use this F-strings Number Formatting Cheat Sheet by Brian Allan.

🚀📈 This cheat sheet provides a quick and easy reference guide to formatting numbers in Python using F-strings, allowing you to create clean, well-formatted output for your data analysis, scientific computing, or general programming needs. Perfect for Python developers of all levels.

Check it out here: amplt.de/BlissfulAdvancedAir
My newsletter subscribers learned about this 25 months ago!
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👋 Moin, I'm Jesper!

I share non-hype AI like this every day to help you build better real-world ML applications!

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Enums can make your code more readable, safer and easier to maintain. If you want a solid overview of Python’s enum module, check out this article by Rodrigo. He covered everything from basic Enum usage to auto, StrEnum, Flags and more. It’s a great way to learn the full range of what Python enums offer.

mathspp.com/blog/module-enum-o

mathspp.comModule enum overviewThis article gives an overview of the tools available in the module enum and how to use them.

🕸️ Netzwerk-Wissenschaft

Geograph:innen der Unis Innsbruck und Bern haben die #Netzwerke von Mobilfunkdaten analysiert. Es zeigte sich: Bei Hochwasser bewegen sich Menschen ähnlich wie bei großen Events (etwa Konzerten). Diese Erkenntnis könnte helfen, Krisen besser zu managen.

🆕uibk.ac.at/de/newsroom/2025/wi

📖 nature.com/articles/s44260-025

www.uibk.ac.atWie Konzertbesucher:innen helfen, den Katastrophenschutz zu verbessern
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