Fewer versus Less
en.wikipedia.org·1d·
Discuss: Hacker News
🔗Concatenative Theory
Optimizing ClickHouse for Intel's 280 core processors
clickhouse.com·16h·
Discuss: Lobsters, Hacker News, r/programming
⚡Cache Optimization
Monitoring Safari Park Camera Feeds with Mastra.ai
anchorbrowser.io·21h·
Discuss: Hacker News, r/javascript
🏛️Elm Architecture
Hello World Devlog 2 - Millie Monster's Makeup Counter Postmortem
ellimity.itch.io·22h
💬Interactive REPLs
Tau² Benchmark: How a Prompt Rewrite Boosted GPT-5-Mini by 22%
quesma.com·22h·
Discuss: Hacker News
⚡Interpreter Optimization
Bessemer Venture Partners released a great report on the current state of AI.
bvp.com·1h
⚡Performance
ALLT.AI unveils the next generation of Large Language Models (LLMs) driven by the remarkable power and efficiency of the human brain
prnewswire.com·22h
🎯Finite Automata
🗺️ Go Maps Deep Dive — Part 1: The Secrets Behind O(1) Performance, Overflows, and Growth
dev.to·23h·
Discuss: DEV
🐹Go Internals
Building MCP Tools: A PDF Processing Server
dev.to·12h·
Discuss: DEV
🌍Minimal HTTP
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
arxiv.org·7h
✨Effect Inference
FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
arxiv.org·7h
🔗Memory Linearization
R PSI: World models that are “promptable” like LLMs
reddit.com·17h·
Discuss: r/LLM
🔍ML Language
The Provenance Problem: LLMs and the Breakdown of Citation Norms
arxiv.org·7h
🔍ML Language
Evaluating Your RAG Solution
towardsdatascience.com·16h
🌱Minimal ML
Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
arxiv.org·2d
🌱Minimal ML
Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
arxiv.org·2d
✨Effect Inference
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
arxiv.org·1d
🔍ML Language
Automating Business Intelligence: How We Built a Multi-Agent AI System for Business Data Extraction
dev.to·1d·
Discuss: DEV
🧠Semantic Parsing
AI for Everyone: Secure Language Models Without the Hardware Hype
dev.to·4d·
Discuss: DEV
🎯Finite Automata
Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis
arxiv.org·2d
🗺️Region Inference