AI Intelligence Archive
浏览 AIQB 已保存的 9735 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
Indexed articles9735
Categories6
Selected stories2
All articles
Section 11 / 244 页 · 每页 40 stories
TutorialsOrdinary
WeKnora: turn scattered documents into one queryable knowledge system
WeKnora Most teams do not have a knowledge problem. They have a scattered documents...
Source: DEV Community
TutorialsOrdinary
Allow, Ask, or Block: The Week Agent Security Moved to the Action
Allow, Ask, or Block: The Week Agent Security Moved to the Action The security...
Source: DEV Community
TutorialsOrdinary
When did you last code a project fully by hand ?
Recently I attended my first AI meetup in my city and I loved it really loved it. I walked out with...
Source: DEV Community
TutorialsOrdinary
My bug reproduction agent trusts the container, not the model
A quick update since this first went up on AWS Builder Center on Nov 6: Phase 3 passed its gate that...
Source: DEV Community
TutorialsOrdinary
How I Handle Ambiguous API Timeouts in an AI Video App
A video-generation request times out. There is no task ID in the response. Should the application...
Source: DEV Community
TutorialsOrdinary
Don't Write More Prompts. Install These 10 Trending 'Skills' Instead
I found 10 trending skills on GitHub that can boost your agent power a lot, and I had to test them...
Source: DEV Community
TutorialsOrdinary
Stop Blaming the LLM: Why Most RAG Failures Are Retrieval Architecture Problems
Every time an enterprise Retrieval-Augmented Generation (RAG) system produces a hallucination, drops...
Source: DEV Community
TutorialsOrdinary
I market a closed source memory API, and I don't know how devs find tools like this
I do marketing at a very small company with a hosted memory API for AI agents. Mem0 and Zep both...
Source: DEV Community
TutorialsOrdinary
MCP Registry Diff #1: 4,588 new servers, 197 deprecated — week of Oct 26–Nov 1, 2026
TL;DR 4,588 servers were newly published to the official MCP Registry this week; 197 were...
Source: DEV Community
TutorialsOrdinary
Real faces on Seedance: standard vs ultra-wide, in practice
Answer: Seedance's standard route handles most real-face references — a clean photograph of a person...
Source: DEV Community
TutorialsOrdinary
Seedance 2.5 vs 2.0 vs Mini: which tier earns its per-second price
Answer: on Callirra, Seedance 2.0 Mini is 2 credits per output second at 480P ($0.02), Seedance 2.0...
Source: DEV Community
TutorialsOrdinary
PR Pilot: Putting Multi-Agent AI Code Reviewers Inside Discord
This is a submission for the MLH x DEV Writing Challenge What I Built Every developer...
Source: DEV Community
TutorialsOrdinary
Catch the Risk Before the First Dose - Building an AI Drug Safety Reviewer That Remembers
💡 In one line: I built TrialSleuth AI, an agent that reviews a new drug before its first human trial...
Source: DEV Community
TutorialsOrdinary
Bio-Sync Operator OS: Real-Time Biometric Swarm Governance with Presage SmartSpectra rPPG
This is a submission for the Presage SmartSpectra SDK Challenge. ⚠️ NON-MEDICAL INFORMATIONAL...
Source: DEV Community
TutorialsOrdinary
6 Mobile Product Opportunities for St. Louis Bioscience Teams in 2026
St. Louis doesn't need another generic wellness app. The FDA's October 2026 prescription-app guidance...
Source: DEV Community
TutorialsOrdinary
Your AI Agent Passed Preflight. Which Receipt Proves the Change Landed?
A question for engineers building AI agents that actually change things. Imagine this fictional...
Source: DEV Community
TutorialsOrdinary
Why Telling an LLM to Be Careful Doesn't Work: Penalty Prompts Had a 0% Abstention Rate
Ten reproducible experiments on Gemma 2, 3 and 4 with Ollama. Code included.
Source: DEV Community · Ollama
TutorialsOrdinary
I fact-checked a blockchain's docs. 4 claims fail, 54 can't be checked, and one won't sit still.
A read-only harness checked 239 documented claims in a blockchain's docs. The same 4 failed in all 5 runs and 54 cannot be checked.
Source: DEV Community
TutorialsOrdinary
I wanted my coding agent to examine me out loud, so I built a local voice layer for it
A few weeks ago I wrote about the learning system I built inside my AI coding workflow: notes in...
Source: DEV Community
TutorialsOrdinary
Stop Passive AI Rewrites: Agentic Coaching in Google Docs with gdocumentor
A Go CLI and MCP server that turns Gemini and any AI agent into a Socratic writing and code...
Source: DEV Community · Gemini
TutorialsOrdinary
We Checked 10,659 Public MCP Configs. Two Thirds of the Servers Are Unpinned
An MCP config file decides what code runs on a developer's machine every time their agent starts....
Source: DEV Community
TutorialsOrdinary
What Publishing 35+ Agent Articles Taught Me About Writing (and About Agents)
What Publishing 35+ Agent Articles Taught Me About Writing (and About Agents) Thirty-five...
Source: DEV Community
TutorialsOrdinary
When AI Meets Configuration Drift: Debugging the Cognitive Clash in LLM-Driven Trading Systems
When AI Meets Configuration Drift: Debugging the Cognitive Clash in LLM-Driven Trading...
Source: DEV Community
TutorialsOrdinary
Introduction to Docker Sandboxes with Go
AI coding agents are at their best when we let them work on their own, installing packages, running...
Source: DEV Community
TutorialsOrdinary
A Builder in CDMX: Flu Edition
I built my sick wife a digital bell. She pressed the one button I left blank. TL;DR: I caught the...
Source: DEV Community
TutorialsOrdinary
A memory that curates itself: from grep to BM25, and the warm layer we built a week later
How an agent's operational memory fits in ~110 KB of prompt plus a wiki of 36 file-cards — on a 2 GB,...
Source: DEV Community
TutorialsOrdinary
The AI Understood My Payment Request. My Rust Code Refused It.
An AI that can read "send 0.05 SOL to Ada for lunch" is useful. An AI that can decide to send money...
Source: DEV Community
TutorialsOrdinary
Thirty minutes in a disposable Mac
A hard 30-minute Claude Code session in a disposable Mac produced a retro screensaver site. Play the demo and inspect the original run evidence.
Source: DEV Community · Claude
TutorialsOrdinary
Agent memory: how Claude repairs wrong notes with dreaming
Agent memory can preserve mistakes. Anthropic's transcript-backed dreaming repairs notes, while contract-page ownership and exact quotations protect facts.
Source: DEV Community · Claude
TutorialsOrdinary
From Zero to Edge AI: Engineering TinyTB-Net from Scratch
“Perfection is achieved, not when there is nothing more to add, but when there is nothing left to...
Source: DEV Community
TutorialsOrdinary
Stop Asking LLMs to Do Math: Client-Side Functions in Flutter GenUI with bloc_signals
Why Andrew 'Red' Brogdon's insight on client-side functions is critical for Generative UI—and how bloc_signals_genui turns catalog functions into 0ms synchronous reactive signals.
Source: DEV Community
TutorialsOrdinary
Google Positions AI and Traditional Search as One Unified Product
Google is no longer describing AI Overviews, AI Mode and traditional Search as separate experiences....
Source: DEV Community
ResearchOrdinary
Hybrid Source Code Change Impact Analysis
Change impact analysis (CIA) helps developers identify code entities impacted by their initial changes. While several approaches for CIA were proposed, they still struggle with either low precision or low recall, thereby increasing manual …
Source: arXiv · Gemini
TutorialsOrdinary
I Never Thought I'd Be a Programmer. Yet Here I Am.
Here I am sitting at home on a rainy Saturday, so I thought I'd share my story. It's nothing special,...
Source: DEV Community
ResearchOrdinary
Risk-Sensitive Reinforcement Learning for an Options Market Maker: An Empirical Study with Real S&P 500 Options
Options market makers absorb client order flow and must hedge the resulting inventory risk under trading frictions. We study whether an option hedging reinforcement learning (RL) agent trained on historical market data outperforms three al…
Source: arXiv
ResearchOrdinary
Interpretable Cyber-Physical Attack Detection in Smart Grids: A Leakage-Controlled Multi-Testbed Evaluation of Fusion, Robustness, and Observability Limits
Cyber-physical smart-grid detectors are typically treated as black boxes and validated exclusively on clean, temporally shuffled datasets, which risk overly optimistic performance claims. This work presents a multi-testbed evaluation study…
Source: arXiv
ResearchOrdinary
CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs
This paper introduces COUPLED FLOW, a new neural operator learning framework for multi-physics PDE systems that captures the co-evolution of multiple physical processes by modeling their cross-process interactions. Unlike existing neural o…
Source: arXiv
ResearchOrdinary
Semantic Synthesis over Brute-Force Search: LLM-Guided Transformation Design for Efficient Learning
Data transformation pipelines shape the training distribution in computer vision, but designing them is a computationally expensive problem. We investigate whether large language models can enable efficient discovery by synthesizing execut…
Source: arXiv
ResearchOrdinary
Can small transformers learn the language of Coxeter groups?
The field of mechanistic interpretability is well-suited to collaborative projects between mathematicians and AI researchers. This work describes one such project. We trained a small transformer to learn the language of the Coxeter group a…
Source: arXiv
TutorialsOrdinary
Google’s One-Word SERPs Create a New Rank-Tracking Accuracy Problem
Independent rank-tracking data identified a significant Google results anomaly in September and...
Source: DEV Community