AI Intelligence Archive
浏览 AIQB 已保存的 9740 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
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ResearchOrdinary
Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication
Clinical timelines support treatment-window analysis and leakage-free modeling, but discharge summaries often obscure chronology and structured EHR tables describe only part of the patient course. We present a UID-preserving framework that…
Source: arXiv · DeepSeek / GLM
ResearchOrdinary
CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models
Diffusion Language Models (DLMs) offer promising parallel generation capabilities but lag behind autoregressive models in complex reasoning and tool-use tasks. While Reinforcement Learning (RL) has recently been applied to enhance DLMs, st…
Source: arXiv
ResearchOrdinary
Expert-Space Exploration in MoE Reinforcement Learning
Reinforcement learning (RL) has become central to post-training of large language models. Recent advances in RL for Mixture-of-Experts (MoE) models have primarily focused on improving optimization stability and training efficiency, while t…
Source: arXiv · Qwen
ResearchOrdinary
Benign Loss Landscapes Can Coexist with Worst-Case Hardness
Deep neural networks are expressive enough to contain worst-case targets that can be evaluated in polynomial time but cannot be learned in polynomial time by gradient descent. For practical tasks they nonetheless learn well, raising the qu…
Source: arXiv
ResearchOrdinary
Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model
Visual goal and dynamics prediction can provide language-conditioned robot policies with both a target outcome and a representation of action-dependent scene changes. We bring these predictions into action generation and selection through …
Source: arXiv
ResearchOrdinary
A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning
Regularization-based methods have become a standard approach for training Deep Reinforcement Learning policies against adversarial input perturbations. In this paper, we unify these methods by deriving new upper bounds on the performance g…
Source: arXiv
ResearchOrdinary
MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling
Efficient microservice scheduling is crucial for maintaining load balance across nodes in data centers and ensuring high quality of service. However, achieving this in practice remains challenging due to dynamic resource imbalance under fl…
Source: arXiv
TutorialsOrdinary
If Your Developers Use Claude Code, You Have Not Automated Development
Picture a solid mid-level engineer joining your team. Nobody gives them access to the issue tracker....
Source: DEV Community · Claude
PerspectivesOrdinary
Automattic's Matt Mullenweg Claims He's Back 'In Control'
Source: 404 Media(RSS)
TutorialsOrdinary
MCP Prompt Injection Before the First Tool Call
The MCP instructions field reaches the model before any tool call, 66% of live servers send it, and a shared cache can serve it to a caller who...
Source: DEV Community
TutorialsOrdinary
MCP vs API Is the Wrong Question
Recently, I saw a LinkedIn post discussing "MCP vs API" and felt like we needed to choose one. But I...
Source: DEV Community
TutorialsOrdinary
Running Chrome DevTools MCP in Multiple Claude Code Sessions
One Claude Code session driving a browser through chrome-devtools-mcp works fine. Open a second...
Source: DEV Community · Claude
TutorialsOrdinary
You probably don't need a dedicated vector database (Use pgvector instead)
Why you don't need a separate $400/mo vector database for RAG. How to use Postgres with pgvector and HNSW indexes for sub-10ms similarity search.
Source: DEV Community
TutorialsOrdinary
A Four-Signal Placement Gate for Local-First Agent Work
A backend engineer boarded a late train with a half-finished agent run still sitting in a terminal....
Source: DEV Community
TutorialsOrdinary
How I Run 4 Claude Code Agents in Parallel on One Repo Without Chaos
TL;DR I run up to four Claude Code agents at the same time on a single repository by...
Source: DEV Community · Claude
TutorialsOrdinary
La paradoja de la velocidad: La ilusión de la productividad infinita y el cansancio invisible de la IA.
Hace unos días, tuve que hacer algo que hacía mucho tiempo no consideraba necesario en mitad de una...
Source: DEV Community
TutorialsOrdinary
Two identical runs scored 89 and 89. Two cases had flipped.
Read on: the A/B test this corrects · 繁體中文版 Two weeks ago I published an A/B test: I cut 41 AI...
Source: DEV Community
TutorialsOrdinary
The Retro: What ClinicLive Really Cost, and What the AI Got Wrong
Fourteen parts ago, this series made a promise: build a real app with AI and hide nothing — every...
Source: DEV Community
PerspectivesOrdinary
Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award
Source: MIT News(RSS)
PerspectivesOrdinary
'We Did Not Invite You.' Citizens Rage at Town Hall Over Proposed Nuclear AI Data Center
Source: 404 Media(RSS)
TutorialsOrdinary
Most AI "Reasoning" Traces Are Just the Answer, Written Backwards
You've probably watched an AI think through a problem step by step, nod along with the logic, and...
Source: DEV Community
TutorialsOrdinary
Where MCP Ends and A2A Begins: Building a Two-Agent Support Workflow Without Tool-Wrapping
When an agent needs help from another service, there is an architectural question to answer first:...
Source: DEV Community
TutorialsOrdinary
Tool search hid 40,170 tokens from our first request. auto:5 put them all back
With MCP tool search on, which is the default, the first request of a fresh Claude Code session on...
Source: DEV Community · Claude
TutorialsOrdinary
AI Agent vs Agentic AI: The Distinction That Changes Your Architecture
One is a component you build. The other is how you wire many together. Confusing them costs months. Here's the architecture distinction.
Source: DEV Community
TutorialsOrdinary
How do you debug something that is allowed to be wrong?
Yesterday afternoon a runtime I wrote created 70 paragraphs on the same draft article. It was...
Source: DEV Community
TutorialsOrdinary
AI-Generated Tests Can Make Coding Agents Worse. Here's How to Check Yours
ExecCritic found that weak generated tests reduced repair success. A runnable Python example shows how to catch a test that approves the wrong fix.
Source: DEV Community
TutorialsOrdinary
How I Built a 45-Agent AI Panel to Brutally Roast Startup Ideas (Architecture Deep Dive)
Every founder knows the feeling: you share a new startup idea with friends, and they all smile and...
Source: DEV Community
TutorialsOrdinary
Word Sense Disambiguation: How NLP Understands Word Meaning in Context
Here is a sentence that will break most computers. “I went to the bank.” Did you go to a...
Source: DEV Community
TutorialsOrdinary
Azure Functions Hosted Skills: I Built a Scam-Checking Agent, Then Removed the Agency
Is that webshop legit? Most of us have pasted a URL into a reputation checker at least once. The...
Source: DEV Community
TutorialsOrdinary
KPIAssembler: stop hand-picking KPIs, let AI propose them
Text-to-SQL looks great in a demo. Then someone ships a conversion rate that JOINs without ON, a...
Source: DEV Community
TutorialsOrdinary
From 289 MB to 15 MB: What Migrating from Electron to Tauri Actually Cost
WatchMe is a small macOS menu-bar app I built: it lists your running processes, you tick the ones you...
Source: DEV Community
TutorialsOrdinary
Nexpath Review: Can an AI Prompt Quality Layer Make AI Coding Safer?
AI coding tools have made it easy to go from an idea to working code. You describe what you want,...
Source: DEV Community
TutorialsOrdinary
🪐 Astra won't kill anything. It will silence everything. (And why that's good news.)
In discussions around AI-assisted programming with LLMs, I often see two opposing camps. And since...
Source: DEV Community
TutorialsOrdinary
Being a Software Engineer Is Harder in 2026 Than It Was Five or Ten Years Ago
Believe it or not, it's harder to be a software engineer in 2026 than it was five or ten years ago....
Source: DEV Community
TutorialsOrdinary
I know more than AI
I deleted a working function today. It ran. It was clean. It was better written than the version in...
Source: DEV Community
TutorialsOrdinary
Next.js + Supabase: The Free-Tier Stack I Use to Ship Client Sites Fast
I ship client sites fast on a simple free-tier stack: Next.js for the app, Supabase for...
Source: DEV Community
TutorialsOrdinary
Your agent's confirm token is one-shot. Your write still happens twice.
A production bug I shipped, why the obvious fix was incomplete, and what actually closes it. ...
Source: DEV Community
TutorialsOrdinary
Agentic Accessibility - Can AI help us ship more accessible code?
Many All of us are coding with AI these days. There is a lot of momentum; code is being produced at...
Source: DEV Community
TutorialsOrdinary
2,894 Requests Hit My Top Page. Nobody Ever Requested It.
A WordPress function documented in five words quietly deleted the non-English part of every URL my crawler analytics recorded — turning hundreds of distinct pages into a single confident-looking row.
Source: DEV Community
TutorialsOrdinary
Trying Out AgentInspect
A small TypeScript experiment comparing AgentInspect and Promptfoo for local agent trajectory checks.
Source: DEV Community