Deep Dives
In-depth AI analysis, industry observations, and technical insights — slow down and read.
Ollama+RAG Local Knowledge Base Setup: A Step-by-Step AnythingLLM Tutorial
Based on a Bilibili tutorial, this guide details building a local RAG knowledge base with Ollama + AnythingLLM: from general LLM knowledge limits and RAG principles to document upload, vector storage, and verification.
The Ultimate Ollama Tutorial: A Beginner's Guide to Running Large Models Locally for Free
Ollama is an open-source local large model management tool supporting free download and deployment of models like DeepSeek, with command-line and Web UI, cross-platform, automatic GPU/CPU scheduling — ideal for AI beginners and private deployment.
Giving Claude "Hands": Exoproc Open-Source MCP Server Enables Live Process Hooking
Exoproc is an open-source MCP server enabling Claude Code to hook live Windows x64 processes via thread hijacking, bypassing EDR for dynamic analysis. Static decompilation gave Claude eyes; dynamic hooking gives it hands.
What Should MoE Verification Actually Count? The Math Behind Four Tokens and Eight Experts
In MoE speculative decoding, verifying multiple draft tokens can touch different expert weights—four tokens and eight experts may involve up to 32 routed experts. This article explains why unique expert count should complement accepted token count, and how profilers can expose expert overlap at the routing layer.
OpenAI Agents 'Talk' Through CPU Cache: A New Exploration of AI Collaboration Mechanisms
Technical analysis of OpenAI agents communicating through CPU cache: exploring the principles, advantages, and challenges of multi-agent systems using hardware caches for low-latency collaboration.
Getting Started with Local AI Agents: How to Choose Models and Tools
A beginner's guide to local AI agents: how to choose coding and tool-calling models on integrated GPU platforms, which scenarios suit Ollama, LM Studio, and llama.cpp, and the learning path from hand-writing tool-calling loops in Python to frameworks like n8n and LangGraph, with AMD tuning tips.
Zillow's $212.5 Million Settlement: The High Cost of Trial and Error in Proptech
Zillow agrees to pay $212.5 million to settle a class action over its real estate venture. This article analyzes the risks of the iBuying model, conflicts of interest in platform self-operation, and the signal this case sends to the proptech industry.
VCP V-Project Hands-On: 95% Token Cache Hit Rate, AI-Controlling-AI Spiral Programming
VCP V-Project hands-on: over 95% token cache hit rate in single-turn chats, AI-controlling-AI spiral programming with a master Agent planning and a worker Agent coding—fully hands-off once planned. Full setup steps and limitations included.
Agentic RAG in Practice: From Principles to Code, Building an Intelligent Retrieval System Step by Step
Traditional RAG hard-codes retrieval timing, content, and count, causing irrelevant answers. This article, based on a Bilibili tutorial, breaks down Agentic RAG principles: wrapping retrieval as tools for LLM autonomous decision-making, with four-tool design and complete code implementation to build a self-correcting, multi-hop intelligent retrieval system step by step.
Understand Agentic AI in 1 Hour: Architecture, Design Patterns, and Hands-On Building
A breakdown of Simplilearn's Agentic AI crash course: the three-layer agent architecture (perception, cognition, action), single-agent vs. multi-agent comparison, the perceive-reason-act-learn loop, three design patterns, and hands-on demos of research agents, app building, and feedback repair loops.
New York Times Cooking App Doubles Down on AI Features—Why Aren't Users Buying In?
The New York Times adds more AI features to its Cooking app, and Hacker News users are unimpressed. This analysis explores the trust cost, subscription value, and product-logic conflicts of bringing AI into recipe products, plus three practical lessons for vertical AI products.
Running a RISC-V CPU Inside Qwen3.5: The Deterministic Experiment of Qwenputer
Qwenputer implements a runnable, deterministic RISC-V CPU inside the Qwen3.5 model, exploring language models as state machines. This article analyzes its principles, deterministic design, implications for AI programming, and current limitations.
WorkOS Named to Cyber60: AI Agent Identity Management Becomes a New CISO Focus
WorkOS named to the 2026-27 Cyber60 list; the accompanying CISO survey shows 77% of enterprises run AI agents but only 34% give them independent identities. This article analyzes the governance gap in agent identity management, blind spots in traditional IAM, and enterprise implementation advice.
STAIR: A New Direction for Structured Information Retrieval?
Reddit community discusses STAIR—a new direction for structured information retrieval. This article analyzes the value of structured retrieval in the era of large models, the core challenge of semantic-to-schema mapping, and community divergence and expectations around this direction.
MicroZig Announces Strict No LLM / No AI Policy
MicroZig announces a strict No LLM / No AI policy, drawing attention from the tech community. This article analyzes the policy's motivations, controversies, and potential impact on embedded development and the Zig ecosystem.
Procore Breaks Down Construction Data Silos with OpenSharing
Procore's OpenSharing builds an open data sharing layer to connect dispersed design, schedule, cost, and field data in construction projects, breaking down industry data silos and enabling cross-organizational construction analytics.
MetaHarness: Automatically Building AI Test Frameworks for Code Repositories
MetaHarness is an open-source tool that automatically builds harnesses around code repositories, with Darwin and Flywheel iteration modes. Here's a look at its capabilities, use cases, and risks.
Looking for Recommendations: A Casual Yet Technical AI Podcast?
Starting from a Reddit recommendation request, analyze why casual intermediate-to-advanced technical AI podcasts are hard to find, outline common community recommendations, and offer practical criteria for choosing such podcasts.
Ollama v0.40.13 Update: LFM3 Audio Models Land on Linux and Windows
Ollama v0.40.13 is out: Liquid AI's LFM3 models (including lfm3-audio and lfm3-omni text-to-speech capabilities) are no longer limited to Apple silicon — Linux and Windows are now supported, further lowering the barrier to local audio model deployment.
What Nixpkgs Means for Front-End Developers
Starting from a Hacker News discussion, this article explains what Nixpkgs means for front-end developers: how it solves toolchain pain points like uncontrollable node_modules and multi-version coexistence, plus learning costs and current adoption.