The Shape of an Intermediate Logic Class
consequently.org·12h
🧩Constraint Logic
HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Models
arxiv.org·6h
⚡Tokenizer Optimization
Cracking the Code: Unveiling LLM Secrets with Vector Architectures by Arvind Sundararajan
dev.to·4h·
Discuss: DEV
🪜Recursive Descent
Socratic-Zero : Bootstrapping Reasoning via Data-Free Agent Co-evolution
arxiv.org·6h
🔍ML Language
Fixing Overload Resolution For Parameter Arrays in C++/CLI
devblogs.microsoft.com·20h
⚡Effect Handlers
Fast Data Persistence: GrausDB and Zero-Copy Serialization
rpallas.xyz·16h·
Discuss: Hacker News
💾Zero-Copy
From Ambiguity to Verdict: A Semiotic-Grounded Multi-Perspective Agent for LLM Logical Reasoning
arxiv.org·6h
⚖️Inference Rules
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in LLMs
arxiv.org·6h
🎰Parsing Machines
Making sense of parameter-space decomposition
lesswrong.com·2d
🔢Algebraic Datatypes
Lessons Learned from Vibe-Coding a Configuration Parser
deanebarker.net·20h·
Discuss: Hacker News
🎮Language Ergonomics
BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models
arxiv.org·6h
🌱Minimal ML
7 Practical Techniques to Reduce LLM Hallucinations
analyticsvidhya.com·23h
🎯Finite Automata
Python Machine Learning: Care and Quality for Developers
sonarsource.com·45m·
Discuss: Hacker News
🗺️Region Inference
Decoding AI’s Inner Language: How to Test Your Embedding Models
dev.to·17h·
Discuss: DEV
🌱Minimal ML
Synthesizing Standalone World-Models, Part 4: Metaphysical Justifications
alignmentforum.org·3d
✅Type Checking
Overkill JSON parser optimization: C/Assembly
raphaelouthier.github.io·2d·
Discuss: Hacker News
📋JSON Parsing
The Lowest Level PL
pramatias.github.io·2d·
Discuss: Hacker News, r/rust
📏Linear Haskell
Your thoughts tell who you are: Characterize the reasoning patterns of LRMs
arxiv.org·6h
🌱Minimal ML
Level Up your Rust pattern matching
blog.cuongle.dev·18h·
Discuss: Hacker News, r/rust
🎯Pattern Matching
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
arxiv.org·6h
🔍ML Language