Complexity fills the space it's given
wilsoniumite.com·3h·
Discuss: Hacker News
🏃Escape Analysis
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The Power Problem – A Silicon Valley Story
syntheticauth.ai·12h·
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👁️System Observability
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“Mirror, Mirror on The Screen, Who Is The Fairest of Them All?”
future.forem.com·4h·
Discuss: DEV
📵Digital Minimalism
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Show HN: Structa – Design databases in plain English with AI
trystructa.com·2d·
Discuss: DEV, Hacker News
🔢Algebraic Data Types
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Open Source Context-Aware PII Classifier
corp.roblox.com·1d·
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❓Existential Types
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Up and Down the Ladder of Abstraction
worrydream.com·1d·
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🔲Cellular Automata
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Automatic Minds: Cognitive Parallels Between Hypnotic States and Large Language Model Processing
arxiv.org·2d
📚Automata Learning
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How to Learn a New AI Tool in 24 Hours (Framework Included)
dev.to·21h·
Discuss: DEV
✓Automated Theorem Proving
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Building Custom Components in Langflow 🛠️
dev.to·1d·
Discuss: DEV
💎Refinement Types
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Is Quantum Computing the Future? Let's Demystify It!
dev.to·2d·
Discuss: DEV
⏱️Computational Complexity
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FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
arxiv.org·2d
📚Automata Learning
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.to·1d·
Discuss: DEV
🔀Brzozowski Derivatives
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Continuous takeoff is a bad name
lesswrong.com·12h
🔲Cellular Automata
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Tech With Tim: OpenAI’s New Agent Builder is Insane - Full Tutorial
dev.to·12h·
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✓Automated Theorem Proving
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Automated Human-Aligned Value Alignment via Multi-Modal Reasoning and Recursive Score Calibration
dev.to·1d·
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🧠Automated Reasoning
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Adaptive Phase-Change Material Integration for Edge AI Server Thermal Management
dev.to·7h·
Discuss: DEV
💻QEMU
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Show HN: Extrai – An open-source tool to fight LLM randomness in data extraction
github.com·2d·
Discuss: Hacker News
💎Refinement Types
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Observer-based neural networks for flow estimation and control
arxiv.org·7h
👁️Observability
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Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with B\'ezier Curves
arxiv.org·2d
📚Automata Learning
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·2d
📚Automata Learning
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