AI Intelligence Archive
浏览 AIQB 已保存的 4971 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
Indexed articles4971
Categories6
Selected stories2
All articles
Section 101 / 125 页 · 每页 40 stories
TutorialsOrdinary
The Advice Was "Build on Unique Data." Mine Was a House.
A response to Marina Wyss's How I'd Learn Machine Learning in 2026, from someone who arrived at the...
Source: DEV Community
TutorialsOrdinary
When memory returns a plausible answer but violates its boundaries
Most memory demos ask whether a later fact can be retrieved. That is a useful start, but it leaves...
Source: DEV Community
TutorialsOrdinary
Run GLM-5.3 Locally: Real Quant Sizes, the llama.cpp Surprise, and the reasoning_effort Trap
Flash on 27 August, the flagship on 28 August. Real quant sizes, why the bigger model has better tooling support than the smaller one, and the default that silently makes it feel slow.
Source: DEV Community · GLM / Llama
TutorialsOrdinary
Deploying an Agent Substrate Actor After ActorTemplate Left Kubernetes
As of 09/02/2026, the ActorTemplate object no longer exists. It was created, as the name suggests, to...
Source: DEV Community
TutorialsOrdinary
JuryTrace: make agent-judge failures inspectable
When an agent regression judge says “accept,” the interesting question is often not the score. It is...
Source: DEV Community
TutorialsOrdinary
Kill a workflow between the effect and its acknowledgement
Retries are comforting until the process dies at the worst possible moment: after an external action...
Source: DEV Community
TutorialsOrdinary
Spotify Cut Claude Code Token Usage by 90 Percent. The Pattern Works in Any AI Agent
Earlier this week, an engineer at Spotify published numbers that should make everyone running an AI...
Source: DEV Community · Claude
TutorialsOrdinary
How I stopped an LLM from fabricating citations (a coin-museum story)
I started collecting ancient and world coins this year. It got out of hand fast, the way these...
Source: DEV Community
TutorialsOrdinary
💙 KindLink - Because “I Want to Help” Is Not a Plan 😭
This is a submission for the Weekend Challenge: Generosity Edition. Have you ever thought: “I...
Source: DEV Community
TutorialsOrdinary
I Thought Role Separation Would Fix the Optimizer. It Didn't.
Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...
Source: DEV Community
TutorialsOrdinary
I don't want to be a ML engineer who trains models.
I don’t just want to train a model in a Jupyter notebook and call it an ML project. I want to...
Source: DEV Community
TutorialsOrdinary
Multi-Agent Does Not Mean Parallel: Safe Workflows with Google ADK
“Let’s split it into agents” has become the AI equivalent of “let’s make it a...
Source: DEV Community
TutorialsOrdinary
When an AI Agent Makes a Mistake in Production, Which Layer Should Stop It?
A familiar production failure looks like this: an AI support agent reads a ticket, decides the...
Source: DEV Community
TutorialsOrdinary
From API to AI Agent: Turning a Laravel Backend Into a Tool-Using System
Your team decides to add an AI agent to your Laravel application. The initial plan seems...
Source: DEV Community
TutorialsOrdinary
Why Most AI Agents Fail Long Before the Model Does
The agent did not fail because the model was stupid. It failed because a CRM tool returned a 502,...
Source: DEV Community
TutorialsOrdinary
Seven ways a remote MCP server gets authorization wrong
Remote MCP servers are shipping fast, and a lot of them are generated straight out of an OpenAPI spec...
Source: DEV Community
TutorialsOrdinary
RAG Solved the Wrong Problem: What Actually Makes AI Applications Reliable?
Your team ships an internal AI assistant grounded on company documents. The demo is excellent: ask...
Source: DEV Community
TutorialsOrdinary
Can Your AI Use What It Remembers?
An AI can recall a fact when asked and miss it when it matters. InMind separates retrieval from application—and suggests a better way to test agent memory.
Source: DEV Community
TutorialsOrdinary
The OpenClaw Setup Nobody Talks About: Local, Offline, and Actually Private
Everyone's OpenClaw runs on a cloud VM they rent from someone else's computer. Read that sentence...
Source: DEV Community
TutorialsOrdinary
A Guardrails Library - reports honestly
Ask a guardrails library how often it is wrong and you will usually get silence, or a benchmark of...
Source: DEV Community
TutorialsOrdinary
RAG Over YouTube Playlists: From Video URLs to Cited Answers in 60 Lines
RAG Over YouTube Playlists: From Video URLs to Cited Answers in 60 Lines In the previous...
Source: DEV Community
TutorialsOrdinary
My AI agents don't talk to each other
I run seven agents over the same domain. They have never once sent each other a message. That was...
Source: DEV Community
TutorialsOrdinary
800 Million Tokens for $36: Benchmarking DSH + DeepSeek V4 Pro on a Real Codebase
There is a problem with most benchmarks for coding agents: they are not software development. They...
Source: DEV Community · DeepSeek
TutorialsOrdinary
VeriAid — AI-Audited Micro-Philanthropy on Solana
This is a submission for Weekend Challenge: Generosity Edition What I Built VeriAid is a...
Source: DEV Community
TutorialsOrdinary
A Malicious Repo Can Now Run Code Before Your AI Agent Shows a Trust Prompt. I Verified the Defenses That Actually Work
Last week a colleague shared a project with me as a zip file. I did what most of us do now: I dropped...
Source: DEV Community
TutorialsOrdinary
ProofGive: Give Openly, Without Exposing Who You're Helping
ProofGive: a donation tracker that protects the people it's helping Submission for the DEV...
Source: DEV Community
TutorialsOrdinary
Financial Analysis Needs AI at the Edges. Never in the Math.
A colleague recently asked me how he would run financial analysis with AI over the books of an...
Source: DEV Community
TutorialsOrdinary
EU Cyberbullying Resolution Signals Stronger Platform Responsibility, Not a New Law
The European Parliament has adopted a resolution calling for targeted criminal provisions and more...
Source: DEV Community
TutorialsOrdinary
Your Scroll Animations Look Amateur. Here's the GSAP + Lenis Setup That Fixes It
I've built enough animated portfolio sites and agency landing pages at this point that I can usually...
Source: DEV Community
TutorialsOrdinary
Fable's Fumble into a Touchdown
My AI agent audited 25 projects by reading four lines of each README. Every kill verdict was...
Source: DEV Community
TutorialsOrdinary
What a registry of real AI-agent failures reveals about where agents break
AgentPostmortem is a moderated, searchable database of real incidents where AI agents caused harm in production, with a permanent case number for each one.
Source: DEV Community
TutorialsOrdinary
🎨 Software Engineering in the Age of AI: From Code to Craft
AI is no longer just a helper in development — it’s becoming a core collaborator. With this shift,...
Source: DEV Community
TutorialsOrdinary
OpenAI Signals Misalignment Incident Reporting Standards After the Wiki Incident
OpenAI is signaling that it wants clearer standards for disclosing AI misalignment incidents,...
Source: DEV Community · OpenAI
TutorialsOrdinary
The Dedicated OCR Engine Lost to the General-Purpose Model — 300 Slower
Apple's Vision framework read the image in 0.27 seconds. A local 27B vision model took 82.8 seconds. Vision made four times as many character errors — but that wasn't what decided it. Vision shredded the table into columns, and a shredded …
Source: DEV Community
TutorialsOrdinary
GPT-6 Astra vs Fable 5.1 vs Gemini 3.8 Flash: The Ultimate Comparison
Three frontier models shipped in one week. The benchmark tables disagree about the winner. Here is what each number measures and which model fits which work.
Source: DEV Community · GPT / Gemini
TutorialsOrdinary
10 Practical Things You Can Build With n8n and MCP
The first time an AI assistant triggers a real workflow, the interesting question is not “Can it do...
Source: DEV Community
TutorialsOrdinary
7 Production Patterns for Building Reliable AI Agents in Laravel
A reliable AI agent is not the one that never fails. It is the one whose failures are boring: logged,...
Source: DEV Community
TutorialsOrdinary
Building Production-Ready AI Agents in Laravel
The dangerous version of an AI agent is not the one that gives a bad answer. It is the one that...
Source: DEV Community
TutorialsOrdinary
Your coding agent can write the UI. It can't see that it broke it.
Give a coding agent a failing test and it fixes itself. Give it a stack trace, a type error, a red CI...
Source: DEV Community
TutorialsOrdinary
Why Most AI Agents Fail in Production
The demo is flawless. The agent reads the support ticket, categorizes it, looks up the customer,...
Source: DEV Community