A visit to the North End's zero-waste store, where nothing is packed in plastic and the straws are made of metal
universalhub.com·9h
🔗Concatenative
🧵1️⃣
threadreaderapp.com·13h
📮Message Queues
Functional Programming Through the Lens of a Philosopher and Linguist
gotopia.tech·1d·
Discuss: Hacker News
🎮Language Ergonomics
Highly concurrent in-memory counter in GoLang
engineering.grab.com·2d
🧠Memory Models
Does anything people ask "surprise" the LLMs?
preview.redd.it·1d·
Discuss: r/LLM
⚖️Inference Rules
🚀 Day 37 of My Data Journey
dev.to·13h·
Discuss: DEV
📈Query Optimization
REST Pagination techniques
dev.to·2d·
Discuss: DEV
📊Query Optimizers
Search Atlas Announces New Features For Agencies via @sejournal, @martinibuster
searchenginejournal.com·20h
🔍Search Algorithms
Audience targeting in Google Ads Search campaigns: How to layer data for better results
searchengineland.com·1d
🔍Search Algorithms
German government comes out against Chat Control
dev.to·4h·
Discuss: DEV
🛡️Security Type Systems
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
arxiv.org·2h
✨Gleam
Grokipedia and the New Era: When Building a Wikipedia Becomes Trivially Easy
dev.to·11h·
Discuss: DEV
🏠indieweb
Indexing, Hashing & Query Optimization in SQL
dev.to·3d·
Discuss: DEV
📈Query Optimization
AI-Driven Data Engineering: Building Real-Time Intelligence Pipelines
dev.to·4h·
Discuss: DEV
🎭Program Synthesis
Fundamentals metrics for Software Engineering derived from Math Statistics
dev.to·2d·
Discuss: DEV
🔗Hash Functions
NEURODNAAI: Neural pipeline approaches for the advancing dna-based information storage as a sustainable digital medium using deep learning framework
arxiv.org·2d
📋JSON Parsing
SALAD: Self-Adaptive Link Adaptation
arxiv.org·2h
🌉Language Bridges
Contrastive Learning in Feature Spaces: Your Practical Guide to Better Representations
dev.to·23h·
Discuss: DEV
🪜Recursive Descent
The CMO & SEO: Staying Ahead Of The Multi-AI Search Platform Shift (Part 2)
searchenginejournal.com·1d
🔍Search Algorithms
IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
arxiv.org·2d
🔍ML Language