NFL Week 6 odds, spreads: Chiefs open as favorites vs. Lions
nytimes.com·5h
🔍Fuzzy Matching
Reflections on Designing a Search Autocomplete System
torontostudygroup.github.io·1d·
Discuss: DEV
🌿Trie Structures
A PhD in Snapshots
rbharath.github.io·21h·
Discuss: Hacker News
🎯Finite Automata
Property-based testing of batch-invariant operations
mmaaz.ca·22h·
Discuss: Hacker News
🎲Property Testing
A grand week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
🧩Constraint Solvers
SPQA: The AI-Based Architecture That'll Replace Most Existing Software
danielmiessler.com·21h·
Discuss: Hacker News
🛡️Security Type Systems
Homophily-induced Emergence of Biased Structures in LLM-based Multi-Agent AI Systems
arxiv.org·17h
🪞Homoiconicity
A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
arxiv.org·17h
🏷️Attribute Grammars
How to Build Semantic Search in ASP.NET Core using PostgreSQL
dev.to·2h·
Discuss: DEV
🧠Semantic Parsing
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
arxiv.org·17h
✅Type Checking
Automated Risk Calibration for Shipping Asset-Backed Securities via Dynamic Portfolio Optimization
dev.to·1d·
Discuss: DEV
🚂Cranelift IR
Building My Smart 2nd Brain, Part 3: API and UI Explained
dev.to·1d·
Discuss: DEV
🔄Coroutines
AI Under the Hood Part I: Understanding the Machine
kennethwolters.com·3d·
Discuss: Hacker News
🖥️Lisp Machines
Copilots are like TV doctors. They know a lot about their subject, but
techtarget.com·9h·
Discuss: Hacker News
🎭Program Synthesis
Farewell-to-Framework-Bloat-How-I-Rediscovered-Simplicity-Without-Sacrificing-Performance
dev.to·2h·
Discuss: DEV
📦Monorepos
[D] Help needed on Train Bogey Dataset
reddit.com·1d·
Discuss: r/MachineLearning
🌱Minimal ML
🎙️ Building an AI-Powered Interview Analyzer on GCP
dev.to·5h·
Discuss: DEV
🚀Tokenizer Performance
<p>**Abstract:** This paper introduces a novel framework, Enzyme Optimization through Integrated Data Analysis &#038; Reinforcement Learning (EOIDARL), for auto...
freederia.com·1d
✨Effect Inference
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·1d·
Discuss: DEV
🔍ML Language
Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics
arxiv.org·17h
🌱Minimal ML