A Short Survey of Compiler Backends
abhinavsarkar.net·5h·
Discuss: Lobsters, Hacker News
🛠️Developer Tools
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Humans and neural networks show similar patterns of transfer and interference
nature.com·23h·
Discuss: Hacker News
⚡Model Efficiency
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Considerate Use of Generative AI in the Workplace
declanbright.com·20h·
Discuss: Hacker News
🛠️Developer Tools
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·2d·
Discuss: r/LLM
⚡LLM Optimization
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The AI Village Where Top Chatbots Collaborate–and Compete
time.com·23h·
Discuss: Hacker News, r/technews
🔍AI Interpretability
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Part 3: Building Station Station - Agent-OS Workflow in Action
dev.to·1d·
Discuss: DEV
🛠️Developer Tools
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Day 25: Python Coin Flip Game, Simple Interactive Guessing with Random
dev.to·1h·
Discuss: DEV
🤖AI
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This is one way I use AI for coding
dev.to·2d·
Discuss: DEV
🤖AI
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Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
arxiv.org·1d
⚡LLM Optimization
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Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
arxiv.org·12h
⚡LLM Optimization
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How to Use Role-Play Agents to Practice Soft Skills
dev.to·2h·
Discuss: DEV
🤖AI
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·1d
🔍AI Interpretability
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AI Prompts That Create Human Connection
lightcapai.medium.com·5d·
Discuss: Hacker News
🔍AI Interpretability
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My 2025 Developer Tech Stack: From Code to Docs
dev.to·4h·
Discuss: DEV
🛠️Developer Tools
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
dev.to·3d·
Discuss: DEV
⚡LLM Optimization
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Can LLMs subtract numbers?
arxiv.org·12h·
Discuss: Hacker News
⚡LLM Optimization
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·1d·
Discuss: Hacker News
🛠️Developer Tools
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Tech With Tim: Build a Python AI Agent in 10 Minutes
dev.to·1d·
Discuss: DEV
🤖AI
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Tech With Tim: Build a Python AI Agent in 10 Minutes
dev.to·9h·
Discuss: DEV
🤖AI
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How I Made My Voice AI Smarter: Real Lessons from Building in the Field
dev.to·9h·
Discuss: DEV
🔍AI Interpretability
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