Using Palm Jumeirah's Design to Visualize the Elliptic Curve Method
codingpirate.com·1d·
Discuss: Hacker News
🔢Algebraic Datatypes
Using AI Code Assistants to Generate Unit Tests and Maximize Coverage
qt.io·1d
🧪Zig Testing
A grand week
blog.mitrichev.ch·1d·
🧩Constraint Solvers
An alternative to knowledge graphs for storing loosely structured content
fleetingswallow.com·1d·
Discuss: Hacker News
🌲Tree Rewriting
How To Build Effective Technical Guardrails for AI Applications
towardsdatascience.com·12h
🛡️Security Type Systems
Kiln RAG Builder: Now with Local & Open Models
reddit.com·10h·
Discuss: r/LocalLLaMA
🏠indieweb
Ask HN: What are common mistakes in Move smart contract development?
news.ycombinator.com·22h·
Discuss: Hacker News
🛡️Error Ergonomics
Introduction to Python Module Two Part Four Data Types
dev.to·14h·
Discuss: DEV
🐍lisp
Bound-Preserving WENO Schemes for Temple-class systems
arxiv.org·2h
🧩Constraint Solvers
Farewell-to-Framework-Bloat-How-I-Rediscovered-Simplicity-Without-Sacrificing-Performance
dev.to·10h·
Discuss: DEV
📦Monorepos
Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
arxiv.org·2h
💬Interactive REPLs
LLMs are badly misaligned
lesswrong.com·1d
Type Checking
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
arxiv.org·2h
🪜Recursive Descent
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
arxiv.org·2h
🎭Erlang OTP
# Building Production-Ready LLM Applications: Introducing llama-app-generator
dev.to·11h·
Discuss: DEV
📋Tablegen
Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
arxiv.org·2h
💬Smalltalk VMs
Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation
arxiv.org·1d
🧩Constraint Solvers
H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis
arxiv.org·2h
🏗️MLIR
A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
arxiv.org·1d
🏷️Attribute Grammars
Bridging the Gap Between Multimodal Foundation Models and World Models
arxiv.org·2h
🔍ML Language