A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
arxiv.org·1d
🦀Rust
🤖 Building an AI-Powered GitHub README Generator with MCP Protocol
dev.to·1d·
Discuss: DEV
🦀Rust
Inheritance over composition, sometimes
death.andgravity.com·1d
🦀Rust
Finding Order-Preserving Subgraphs
arxiv.org·1d
✅Formal Verification
Mechanistic Indicators of Understanding in Large Language Models
arxiv.org·3d
✅Formal Verification
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
arxiv.org·2d
🦀Rust
Multiplicative Modular Nim (MuM)
arxiv.org·2d
🦀Rust
🔥 De‑constructing Cognition and Why LLMs Can’t Replicate It
dev.to·23h·
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🦀Rust
From C to Python: How Programming Languages Have Evolved Over the Decades
dev.to·4d·
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🦀Rust
The Future of IoT AI in 2025 and Beyond
dev.to·1h·
Discuss: DEV
🦀Rust
Grok 4 Arrives With Impressive Coding Powers
hackernoon.com·2d
🦀Rust
The hidden dangers of AI-generated code in modern web frameworks
dev.to·1h·
Discuss: DEV
🦀Rust
Unpacking Claude’s System Prompt
oreilly.com·1d
✅Formal Verification
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·1d
🦀Rust
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
arxiv.org·1d
✅Formal Verification
Beyond the Hype: Real Talk on AI-Assisted Development • Jessica Kerr & Diana Montalion • GOTO 2025
youtube.com·1d
🔄DevOps
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
arxiv.org·1d
🦀Rust
Automate Your Development Workflow with Kiro’s AI Agent Hooks
dev.to·8h·
Discuss: DEV
🔄DevOps
Outlearn, Outwrite, Outwork: The AI Advantage You’re Missing
dev.to·16h·
Discuss: DEV
🦀Rust
DCR: Quantifying Data Contamination in LLMs Evaluation
arxiv.org·1d
✅Formal Verification