#database scaling
409 related articles
·2 min
Building a 500K Domain Search Engine for $10: Lessons from an Indie Developer's Weekend Project
An indie developer built a 500K domain vertical search engine in one weekend for $10. We analyze the tech stack, vertical search opportunities, and rapid validation methodology.
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·3 min
AI Cyber Offense and Defense Capabilities Approaching a Critical Threshold: Should We Slow Down Model Development?
AI models' cyber capabilities are nearing critical thresholds, able to autonomously find vulnerabilities and execute attack chains. We analyze the debate between slowing development and accelerating defense.
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·2 min
Building a Search Engine for 1.7 Million arXiv Papers with Python
A developer built a mini search engine for 1.7M arXiv papers using pure Python with FastAPI + Streamlit. This article analyzes its architecture, inverted index design, and improvement directions.
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·3 min
Free Machine Learning Roadmap: A Systematic Learning Path Based on Official Microsoft Content
A free machine learning roadmap based on Microsoft Learn's official content, covering ML core concepts, Python hands-on practice, Azure ML deployment, and MLOps for systematic learning from zero to production.
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·2 min
How to Fix Gemini Desktop Layout Issues: A Troubleshooting Guide for Mac Users
Gemini desktop showing scattered layout and misaligned UI on Mac? This guide analyzes possible causes and provides complete troubleshooting steps from restarting the app to clearing caches and checking display settings.
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·2 min
Nemotron 3.5 Lightning Lands on Perplexity API: Ultra-Low-Cost Inference Model Analysis
Nemotron 3.5 Lightning hits Perplexity's Agent API at just $0.0115 per million input tokens. We analyze its pricing, use cases, and impact on AI agent development.
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·4 min
The Current State and Future of AI Drug Discovery: Data Bottlenecks, Clinical Challenges, and the Path Forward
An in-depth analysis of AI's real-world applications in drug discovery, covering target identification, molecular generation, and protein structure prediction. Examines data quality bottlenecks, the absence of approved AI-native drugs, and pragmatic paths forward including human-AI collaboration.
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·3 min
AI Weekly: Anti-Distillation Stance, DeepSeek V4 Controversy, and Claude's Auto Mode
This week in AI: ByteDance rejects distillation shortcuts, DeepSeek V4 Flash offers stunning value but faces outages, Claude Code shifts to agentic auto mode, and Qwen 3 Max launches.
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·2 min
Sharing Culture in AI-Generated Art Communities: Observing the Open Collaboration Ecosystem Through a Reddit Post
Exploring the open sharing culture, community etiquette, and collaborative spirit of AI-generated art communities through a Reddit post about high-resolution artwork sharing.
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·2 min
Lovable Raises $400M Series C: Why the AI App Generation Space Is So Frenzied
AI app generation platform Lovable closes $400M Series C. We analyze its positioning, differentiation from Cursor and competitors, why capital keeps betting on AI coding, and debates over code quality and long-term moats.
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·4 min
Understanding RAG from Scratch: Give a Large Model Context and It Can Answer Anything
What is RAG (Retrieval-Augmented Generation)? This article explains RAG core concepts with simple analogies, analyzes three LLM pain points, and details RAG's working mechanism and future trends.
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·3 min
Complete Tutorial: Build a Free Memos-Worker Personal Knowledge Base at Zero Cost
Learn how to build a free Memos-Worker personal note system using Cloudflare's free services. No server needed for a permanently online knowledge base with D1, KV, and R2.
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·5 min
The AI Agent Security Crisis: Why Generators Cannot Also Be Validators
Based on real data from Snyk's 4,800 enterprise customers, a deep analysis of three AI agent security pain points: automated attacks, untrusted outputs, and governance blind spots.
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·3 min
Java + AI in Practice: Building an Enterprise-Grade Airline Intelligent Customer Service System
Learn how Java engineers can enter AI application development using Spring AI to build an enterprise-grade airline intelligent customer service system with RAG, Function Calling, and more.
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·4 min
6 Must-Do Tasks Before Deploying Enterprise AI Agents: A Complete Guide to Observability + Evaluation
A detailed guide to 6 critical engineering challenges for enterprise AI Agents before production, covering Langfuse-based tracing, observability, evaluation stages, prompt governance, and high-concurrency architecture.
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·3 min
A Universal Orchestration Layer for Deep Learning: Why MLOps Still Lacks a Standard Framework
Deep learning training code is just the tip of the iceberg. This article explores why MLOps still lacks a standard framework-agnostic orchestration layer and offers practical tool combination advice.
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·2 min
AI Store Management Experiment: Friendly but Not Smart Enough — Revealing the True Capability Boundaries of AI Agents
A new study had AI independently run a store, revealing that AI shopkeepers are friendly but make poor business decisions. Analysis of AI Agent real-world capability limits.
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·3 min
Zuckerberg's 'Personal Superintelligence' Vision: Early User Experiences and the Trust Dilemma
Zuckerberg proposes 24/7 personal superintelligence for billions. Reddit early adopters share real experiences building personalized AI systems, revealing both transformative potential and persistent challenges around hallucination, usability, and trust.
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·3 min
AI Agents from Writing Code to Deployment: Real-World Challenges and Solutions for Workflow Implementation
AI coding assistants excel at code generation, but a huge gap remains between writing code and deployment. This article analyzes the core challenges AI Agents face in deployment and explores practical solutions like GitOps and sandboxed execution.
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·3 min
ACAI Architecture Explained: How Modular Cognitive Pipelines Solve LLM Hallucination and Context Corruption
Deep dive into the ACAI (Adaptive Cognitive AI) modular architecture that solves LLM hallucination and context window rot through layered cognitive pipelines, semantic memory graphs, and logical verification.
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