Vibe Check: Claude Sonnet 4 Now Has a 1-million Token Context Window
kill-the-newsletter.com·1d
🔗Parser Combinators
Speedrunning Technical Debt: The Rise of Prompt-Based Development
cmdchronicles.com·1h·
Discuss: r/programming
👐Open Source Software
Day 4 [August 11, 2025] Python Extensibility - More research/reading to follow in day 5. I barely scratched the surface.
dev.to·21h·
Discuss: DEV
📝Lisp
How One Database Query Cost a Startup $10K (And How to Fix It)
dev.to·15h·
Discuss: DEV
🗄️Database Theory
Show HN: Wrote a small tool that turns PDFs and docs into fine-tuning datasets
github.com·1h·
Discuss: Hacker News
🦀Rust
Motivated Reasoning as Bias
lesswrong.com·3d
🔢Mathematical Logic
Do you think Zig should support async
reddit.com·49m·
Discuss: r/Zig
🔧Compiler Design
Tune self-correct SQL agent with RL: AgentLightning+verl+vLLM+AgentOps+LangGraph
medium.com·3d·
Discuss: Hacker News
🌍Distributed Systems
Day 1 - The Start of My ML + MLOps/LLM Journey
dev.to·1d·
Discuss: DEV
🎲Probabilistic Programming
Enhanced Receptor Tyrosine Kinase (RTK) Signal Deciphering via Multi-Modal Adaptive Network (SMAN)
dev.to·1d·
Discuss: DEV
🎲Probabilistic Programming
A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
arxiv.org·8h
🕸️Graph Theory
dolthub/dolt v1.58.3
github.com·1d
🦀Rust
Chi-Geometry: A Library for Benchmarking Chirality Prediction of GNNs
arxiv.org·1d
🕸️Graph Theory
Pareto Multi-Objective Alignment for Language Models
arxiv.org·2d
🔗Parser Combinators
impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction
arxiv.org·8h
🎲Probabilistic Programming
A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
arxiv.org·1d
🎲Probabilistic Programming
Hallucination vs interpretation: rethinking accuracy and precision in AI-assisted data extraction for knowledge synthesis
arxiv.org·8h
🔗Parser Combinators
HTTP Request Processing with Zero-Copy Optimization(0979)
dev.to·1d·
Discuss: DEV
🤝Protocol Design
The best explanation of LLMs I've ever seen is in this new book.
threadreaderapp.com·2d
🔗Parser Combinators
Unlocking Scalability: A Deep Dive into Mixture of Experts (MoE) for Modern LLMs
dev.to·2d·
Discuss: DEV
🎲Probabilistic Programming