🎴 TAO - hello · Scour

FCDP: Fully Cached Data Parallel for Communication-Avoiding Large-Scale Training

arxiv.org·1d

🔁Cache Coherence

Towards a Standard for JSON Document Databases

muratbuffalo.blogspot.com·12h·

Discuss: Blogger

Caching in 2026: Fundamentals, Invalidation, and Why It Matters More Than Ever

lukasniessen.medium.com·1d·

Discuss: r/node

💾Cache Design

Beyond RAG: Building an AI Companion with "Deep Memory" using Knowledge Graphs

dev.to·1d·

Discuss: DEV

tzcnt/TooManyCooks: C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.

github.com·1d

🎆Firecracker

Evolving our real-time timeseries storage again: Built in Rust for performance at scale

datadoghq.com·1d

📋Columnar Storage

Compound Engineering: The Definitive Guide

kill-the-newsletter.com·19h

Show HN: Deterministic linguistic enrichment pipeline for Node.js

npmjs.com·18m·

Discuss: Hacker News

Lucene HNSW performance: A deep dive into the OS page cache

opensearch.org·14h

Profinite trees, through Lawvere theories and the lambda-calculus

arxiv.org·6h

λFunctional Programming

{ w: 1 } Asynchronous Writes and Conflict Resolution in MongoDB

github.com·18m·

Discuss: DEV

🔧Read Repair

Article: Jakarta EE 12 Milestone 2: Advent of the Data Age Along with Consistency and Configuration

infoq.com·2h

Passing the Torch: Reflections on ARC’s Journey and the Future of Specialized Processing

eetimes.com·3h

⚡Hardware Acceleration

About the Information System on Graph Classes and their Inclusions

graphclasses.org·22h

🔗Graph Algorithms

Open Source in Focus: .NET Projects and the Tools Behind Them

blog.jetbrains.com·4h

An approach to reducing prompt size, drift, and governance risk in LLM-based systems

qu3ry.net·14h·

Discuss: r/LLM

⏱️Temporal Workflow

🦆 Lance x DuckDB SQL Retrieval, 🚗 Uber-Scale Storage, ⚡ 1.5M IOPS

lancedb.com·1d

5 LLM Workflow Patterns for Building Scalable AI Applications: A Complete Guide (With Examples)

pub.towardsai.net

·6h

💬Prompt Engineering

How Agentic Memory Enables Durable, Reliable AI Agents Across Millions of Enterprise Users

engineering.salesforce.com·17h

💳Transactional Memory

AI-augmented data quality engineering

infoworld.com·1d

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