AI Intelligence Archive
浏览 AIQB 已保存的 9739 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
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TutorialsOrdinary
Cybersecurity in the AI Era
Scams are becoming more convincing. AI tools are gaining more access. A practical guide to trust,...
Source: DEV Community
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I built a security-report desk that keeps vulnerabilities under embargo, and the chat platform enforces it
Open-source maintainers are drowning. One well-funded project, OpenSSL, went from about nine...
Source: DEV Community
TutorialsOrdinary
tmux vs Zellij vs Hermes IDE: Five CLI Agents, and Which One Is Waiting on You
Five Claude Code and Codex sessions, one blocked on you. Real tmux and Zellij configs, what Hermes IDE adds, and where a multiplexer still wins.
Source: DEV Community · Claude
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I Put My Coding Agent to Work Finding Clients
I gave my coding agent a test offer: writing comparison pages for B2B software companies. Then I...
Source: DEV Community
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We Merged 3 Repositories Into 1. Then AI Said: Roll It All Back.
A failed CI check nearly turned a successful FastAPI and BigQuery consolidation into an unnecessary rollback. Here's what one Boolean condition taught us about AI-assisted engineering.
Source: DEV Community
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Using Evil Spirits To Cast Out Evil Spirits!
Hey everyone 👋, This post is something I have been sitting on for a while, and I am finally writing...
Source: DEV Community
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The "Magic Pill" Delusion: Why AI Licenses Won't Fix Broken Platform Engineering
The "Magic Pill" Delusion: Why AI Licenses Won't Fix Broken Platform Engineering TLDR: AI...
Source: DEV Community
TutorialsOrdinary
Edge SpAIce Shows How Onboard AI Can Detect Marine Litter From Orbit
The EU-funded Edge SpAIce project has demonstrated an onboard AI approach for detecting marine litter...
Source: DEV Community
TutorialsOrdinary
AI Agents Have a Human Problem
We are entering a new era of software development. AI agents can write code, refactor existing...
Source: DEV Community
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My agents kept dropping what resisted. 10 of my 19 vetoes were about that.
On September 30, an agent was building a catalogue of every setting in our back-office, nearly three...
Source: DEV Community
TutorialsOrdinary
Build a JTL Cloud App with an AI Agent
What if you could turn a short prompt into a working JTL Cloud App, complete with access to real ERP...
Source: DEV Community
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Four on-device TTS models on one CPU core: LinnetTTS, Piper, Kokoro, pocket-tts
Most CPU TTS writeups benchmark one model in isolation. When you are building a voice product, that...
Source: DEV Community
TutorialsOrdinary
The Complete Guide to RAG, MCP, LangGraph, Embeddings, and Beyond
A practical field guide to the concepts, architectures, and free-versus-professional tools behind...
Source: DEV Community
TutorialsOrdinary
Moved Your Repo Folder? Every Agent Worktree Broke. git worktree repair Fixes It
Worktrees link to your repo by absolute path, so a mv breaks every agent's checkout. Fix it with git worktree repair, then prevent it with relative paths.
Source: DEV Community
TutorialsOrdinary
Turning GPT GIFs into a cat film: what smoothing fixed, and what it didn’t
A cat crosses a room, jumps onto a windowsill, watches a bird, curls up and falls asleep. That became...
Source: DEV Community · GPT
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Pourquoi git checkout ne peut-il pas annuler ce qu'un agent de code IA a modifié ?
Quand un agent IA modifie des fichiers de votre projet et casse quelque chose, le réflexe est git...
Source: DEV Community
TutorialsOrdinary
Claude Code was mailing your email address to every website it visited: the User-Agent leak, the 5-month system-prompt issue, and the 5-point check
Claude Code put your account email in the User-Agent header of its web requests, so every server log on the agent's path harvested a scam-ready lead, and the same email ships in the system prompt of every session, an issue open since July.…
Source: DEV Community · Claude
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The model card said 0.5B. The checkpoint stores 494M. Both are right.
Qwen2.5-0.5B's config declares its vocabulary-by-hidden matrix twice: once as the embedding table,...
Source: DEV Community · Qwen
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AI agents are your new customers. I built a checker to see which stores they can actually read
A shopper asks ChatGPT for "a waterproof hiking jacket under $150 that ships to Dubai". The answer...
Source: DEV Community · ChatGPT
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When an AI Agent Says 'Done,' What Exactly Has Finished?
"Done." It's probably the most satisfying word in a coding-agent session. It can also conceal three...
Source: DEV Community
TutorialsOrdinary
The instrumentation pattern: an agent you cannot see is an agent you cannot operate
Most agents are instrumented for the failures that announce themselves and blind to the ones that do not. Here is the pattern: the three streams...
Source: DEV Community
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Don't Scale Your LLM Routing on Request Volume — Scale It on Task Success Rate
Your request volume doubled this month. So you doubled your GPU spend. That is the most common...
Source: DEV Community
TutorialsOrdinary
MCP Went Stateless This Year. Your 'Supports MCP' Checkbox Is Now a Lie.
"We support MCP" used to mean something specific. This year it became ambiguous, because there are...
Source: DEV Community
TutorialsOrdinary
I missed /buddy, so I made a pixel pet for Claude Code
In April, Claude Code had /buddy for about a week: a tiny creature in your terminal that watched you...
Source: DEV Community · Claude
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Building an AI for hard conversations: five agents, one safety regex, and a supervisor who graded us blind
Context: Dicamus is an AI self-help service, not therapy and not a crisis line. If you are in danger...
Source: DEV Community
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Only 10 of my AI agent's 34 bug reports said what the fix would improve
GitHub: https://github.com/ESeungJun/fix-proposal I do most of my work with Claude Code now, and...
Source: DEV Community · Claude
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My Support-FAQ Bot Made Up 22 Answers It Didn't Know. Grounding It in n8n Dropped That to 0
A support bot that says "I don't know" is annoying. A support bot that confidently says "No, we don't...
Source: DEV Community
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Deterministic delivery is an architecture decision, not a model setting
1. The argument is being filed under the wrong heading Most debates about agent...
Source: DEV Community
TutorialsOrdinary
Are San Francisco businesses ready for AI? We gave an AI a phone to find out
An SF Tech Week experiment: we gave an AI a phone and had it call San Francisco businesses. Only 1 in 3 kept talking - most businesses are not ready for the AI assistants that are about to call them.
Source: DEV Community
TutorialsOrdinary
Can AI draw San Francisco from memory?
We asked six AI chat models what is at 41,526 points of San Francisco, from memory. The best three tie at 86% on the city map, against 61% for a trivial answer, and none of them can draw the Marina's streets.
Source: DEV Community
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Citation Is Not Truth: A Three-Metric Evaluation of an Extractive Research Pipeline
Citation Is Not Truth: A Three-Metric Evaluation of an Extractive Research...
Source: DEV Community
TutorialsOrdinary
Agent memory architecture
Agent Memory Architecture – A Practical Guide 📋 Concise Diagnosis...
Source: DEV Community
TutorialsOrdinary
How to expose your SaaS data to Claude and ChatGPT with MCP (a real 44-tool server)
A stateless Streamable HTTP MCP server in Next.js: keyless discovery, Bearer keys, readOnlyHint on 26 tools, preview then confirm on 18 write tools.
Source: DEV Community · ChatGPT / Claude
ResearchOrdinary
Energy-Based Reasoners: Your Recurrent Reasoner Should Be an Energy-Based Model
Looping is a powerful inductive bias for reasoning. By repeatedly iterating a recurrent block, looped models can scale their effective depth and enable multi-step reasoning in latent space. However, existing looped models are not inherentl…
Source: arXiv
ResearchOrdinary
Beyond Truncation? Entailment-Licensed Elision and the Limits of Semantic Preservation in LLM Decoding
Instruction-tuned large language models (LLMs) answer at greater length than a request needs. We ask whether a training-free controller inside the decoding loop can remove that surplus while preserving content, judged against the simplest …
Source: arXiv
TutorialsOrdinary
17 things your agent harness should have!
Do this first: go down the list and tick what your harness already does. Each unticked item is a...
Source: DEV Community
ResearchOrdinary
Phantom Consensus: Measuring Social Reasoning in Multi-Agent LLM Decision-Making
Multi-agent LLM systems increasingly aggregate judgments across model instances, but reasoning about other agents can itself introduce failure. We study a setting in which LLMs shift their public decisions after observing ambiguous social …
Source: arXiv
ResearchOrdinary
PhysioWave-T: Token-Efficient Wavelet Foundation Models for Biosignals
We present PhysioWave-T, a token-efficient wavelet foundation model family for EEG, ECG, and sEMG. Dynamic scale folding recombines J+1 wavelet subbands prior to tokenization, compressing sequence length from (J+1)CS to CS tokens for J lev…
Source: arXiv
ResearchOrdinary
Using an LLM to Tackle Difficult Cases in NER for Nepali Tweets
Named entity recognition (NER) is challenging for social media data in a low-resource language. LLMs often lag behind pretrained language models (PLMs) in NER performance, but they show promise in handling cases that PLMs struggle with. Us…
Source: arXiv
ResearchOrdinary
Concordance-Optimal Continuous Music Emotion Estimation: Variance Decomposition, Dual-Branch Temporal Fusion, and Conformal Prediction Intervals
Continuous music emotion recognition (MER) estimates how Arousal and Valence evolve within a song, yet the field's standard metric, pooled frame-level correlation, is dominated by between-song differences and cannot distinguish a model tha…
Source: arXiv