Debugging vs Printing
hackaday.com·12h
👁️System Observability
An Inline Cache Isn't Just a Cache
mgaudet.ca·23h·
Discuss: Hacker News
💎Refinement Types
Fibonacci Funhouse: Exploring Ruby Algorithms for Fibonacci Numbers
rorvswild.com·1d·
Discuss: Hacker News
🏹Effect Systems
Richard Feynman and the Connection Machine
longnow.org·21h·
Discuss: Hacker News
🔄Finite State Machines
Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning
arxiv.org·2d
📚Automata Learning
Two Sides of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models
arxiv.org·16h
🧮Lambda Calculus
Show HN: SARE, a Hybrid Quantum-Safe Encryption System Implemented in Rust
github.com·7h·
Discuss: Hacker News
📦Unikernel Systems
Eat Your Vegetables Before AI Dessert
writings.alethia.news·2d·
Discuss: Hacker News
🩹Self-Healing Systems
Rich Answered That
gist.github.com·2d·
Discuss: Lobsters, Hacker News
🧮Lambda Calculus
False Confidence
theaiunderwriter.substack.com·3d·
Discuss: Substack
📚Automata Learning
Improving state machine code generation
trifectatech.org·2d·
Discuss: r/rust
🐫Embedded OCaml
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
arxiv.org·16h
📚Automata Learning
Billion-Line Days Demand Billion-Test Nights
momentic.ai·2d·
Discuss: Hacker News
🤖Program Synthesis
MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML
arxiv.org·2d
📚Automata Learning
Benchmarking Large Language Models for Personalized Guidance in AI-Enhanced Learning
arxiv.org·2d
📚Automata Learning
Show HN: AI Image Editor with Natural Language Commands
imagable.ai·13h·
Discuss: Hacker News
🍎Apple
Scaffolding for production vibe coding
interjectedfuture.com·2d·
Discuss: Hacker News
🔬Static Analysis
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
arxiv.org·2d
🐫OCaml
Using Linters to Direct Agents
factory.ai·2d·
Discuss: Hacker News
🔄Reproducible Builds
Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
arxiv.org·16h
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