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  • 5. April 2026

Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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This video presents a novel approach to improve coding agents by continually tuning their system prompts. It introduces a 'system-prompt learning loop' that applies Reinforcement Learning (RL) techniques directly to prompts, moving beyond traditional hand-edited static guides. The method enables agents to learn and adapt instructions from various feedback mechanisms.
24. Dezember 2025
GenAI Updates

Continual System Prompt Learning for Code Agents

Continual System Prompt Learning for Code Agents If you’ve ever watched a coding assistant do…

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This explainer video delves into the mechanics of large language models (LLMs) that exhibit thinking and reasoning capabilities. It addresses what "thinking" means in this context and how to enhance these models' reasoning abilities. Key topics include scaling laws, test-time compute, and reinforcement learning from verifiable rewards.
15. Dezember 2025
GenAI Updates

How LLMs Learn to Think and Reason

How LLMs Learn to Think and Reason I watched a short explainer recently and I…

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Our new flagship Olmo 3 model family empowers the open source community with not only state-of-the-art open models, but the entire model flow and full traceability back to training data.
23. November 2025
GenAI Updates

Olmo 3: Charting a path through the model flow to lead open-source AI | Ai2

Olmo 3: Why the whole model flow matters, not just the final weights You’ve probably…

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Nathan Lambert introduces a taxonomy for next-generation AI reasoning models, identifying four key traits: skills, calibration, strategy, and abstraction. He highlights that current AI models excel in skills and calibration but struggle with strategy and abstraction for long-horizon tasks. The talk emphasizes how developing these two traits is crucial for creating reliable and effective AI agents capable of advanced planning.
30. Oktober 2025
GenAI Updates

A Taxonomy for Next-Gen AI Reasoning: Skills, Calibration, Strategy, and Abstraction

A Taxonomy for Next-Gen AI Reasoning: Skills, Calibration, Strategy, and Abstraction I watched Nathan Lambert's…

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This video, presented by Martin Keen from IBM Technology, delves into the fundamentals of machine learning, its connection to artificial intelligence and deep learning. It breaks down essential ML paradigms like supervised, unsupervised, and reinforcement learning, with practical examples of models such as LLMs and RLHF in real-world AI applications.
25. Oktober 2025
GenAI Updates

Machine Learning Explained: A Guide to ML, AI, & Deep Learning

Machine Learning Explained: A friendly guide to ML, AI, and Deep Learning If you’ve ever…

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Andrej Karpathy discusses the future of AI, arguing that Artificial General Intelligence (AGI) remains a decade away. This insightful interview covers reinforcement learning's limitations and the surprising slow progress of self-driving cars. Karpathy also shares perspectives on the future of education and LLMs.
25. Oktober 2025
GenAI Updates

Andrej Karpathy: AI, AGI, Reinforcement Learning, and the Future of Education

Andrej Karpathy: AI, AGI, Reinforcement Learning, and the Future of Education I watched Andrej Karpathy…

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olmOCR 2, our latest document OCR model, achieves state-of-the-art performance for English-language digitized print documents.
24. Oktober 2025
GenAI Updates

olmOCR 2: Unit test rewards for document OCR | Ai2

olmOCR 2: Better OCR for real documents, not just demos If you’ve ever spent an…

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