Audi R26 Concept: Radical Minimalism Rewrites F1 Design
yankodesign.comΒ·55m
🐍Python
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The AI Fix #76: AI self-awareness, and the death of comedy
grahamcluley.comΒ·1d
🐍Python
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2026 Watch List: The Candidates, the Wildcard, and the IPO Market’s Tunnel Vision
theinformation.comΒ·45m
🐍Python
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AI-Generated Videos of ICE Raids Are Wildly Viral on Facebook
404media.coΒ·2h
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Bridging the AI divide: How Frontier firms are transforming business
blogs.microsoft.comΒ·1d
πŸ”·C#
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The LLM Flywheel Effect: AI That Writes and Tests Documentation
thenewstack.ioΒ·2d
πŸ”·C#
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Reflections on being Sorted
lesswrong.comΒ·2h
πŸ”€Category Theory
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Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
dev.toΒ·1dΒ·
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On the gradient of the coefficient of the characteristic polynomial
arxiv.orgΒ·2d
πŸ”€Category Theory
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Fair Multi-agent Persuasion with Submodular Constraints
arxiv.orgΒ·15h
πŸ”€Category Theory
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Tokens: The Invisible Building Blocks of Large Language Models
dev.toΒ·3dΒ·
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πŸ”€Category Theory
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M&A Lawyer Aubry Daerden Joins Crowell & Moring in Brussels
prnewswire.comΒ·8h
πŸ”·C#
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Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps
arxiv.orgΒ·1d
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Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies
arxiv.orgΒ·2d
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AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
arxiv.orgΒ·1d
πŸ”€Category Theory
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Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
arxiv.orgΒ·15h
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πŸ”₯ LLM Interview Series(1): What Are Large Language Models and How Do They Work
dev.toΒ·3hΒ·
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German court deepens the split on AI and copyright with its latest ruling
the-decoder.comΒ·1d
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