Deep Learning Without Training
zenodo.org·7h·
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AI's capabilities may be exaggerated by flawed tests, according to new study
nbcnews.com·1d·
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
pingu.audn.ai·5h·
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Show HN: Linguistic RL – A 7B model discovers Occam's Razor through reflection
github.com·11h·
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Continuous Autoregressive Language Models
shaochenze.github.io·2d·
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The Path to a Superhuman AI Mathematician
cacm.acm.org·1d·
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How to Build AI Agents from Scratch: A Strategic Guide for CEOs and CXOs
lightrains.com·13h·
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·3d·
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Forecasts of AI and Economic Growth
tecunningham.github.io·10h·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·1d·
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·1d·
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.com·1d·
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Computational Turing Test Reveals Systematic Differences Between Human and AI Language
arxiv.org·21h·
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DS-STAR: A state-of-the-art versatile data science agent
research.google·1d·
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·20h·
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How to make government work: Lessons from a rare British success story
samf.substack.com·56m·
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.ai·1h·
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The Means of Prediction: How AI Works (and Who Benefits)
hks.harvard.edu·2d·
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AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week
sarthakai.substack.com·1d·
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Neuromorphic Intelligence Promises a New Era of Brain-Like Sustainable AI
dailyneuron.com·13h·
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