AI Intelligence Archive
浏览 AIQB 已保存的 6421 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
Everything You Need To Know About Hacktoberfest 2026: AI Belongs to Everyone 🎃
It's October 1st, which means Hacktoberfest 2026 is officially live! 🎉 This year looks a little...
Source: DEV Community
TutorialsOrdinary
Your AI Agent's Rules File Is a "Gentleman's Agreement." Here's What Happens When You Build Enforcement Instead (Re-Write for Accuracy)
A note: I've rewritten and reposted this a few times. Soma's codebase has been evolving as I dogfood...
Source: DEV Community
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GrantQuest — I Turned Scholarship Hunting into an RPG
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
Source: DEV Community
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When the linter and AWS disagree, an agent that shows you both sides
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
Source: DEV Community
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OpenAI lawsuit: Microsoft's 'theft of labor' memo in the NYT case
In the NYT v. OpenAI lawsuit, unsealed filings quote a Microsoft memo calling AI scraping 'the largest theft of labor in human history'. What they say.
Source: DEV Community · OpenAI
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This week I made a mutual-aid app using Sanity and Jev
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
Source: DEV Community
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I Asked 10 AI Models to Reconstruct Real Cyber Attacks
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked Cyber...
Source: DEV Community
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Gemini 4 Argon: what the benchmarks show and when you can use it
Gemini 4 Argon tops 13 of 19 rows on Google's own table, ties for second on Artificial Analysis, and has no release date for developers yet.
Source: DEV Community · Gemini
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When a Fact Is Retracted, Can an AI Keep What Still Holds?
This is a submission for the Kaggle Benchmarking Challenge. What I Benchmarked A plan...
Source: DEV Community
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Why your agent bill explodes before the model even thinks — tiered routing and the cheap-check-first fix — Tiered Routing
I once watched a single agent workflow burn through $340 in a single afternoon. Not because it...
Source: DEV Community
TutorialsOrdinary
My Eval Passed Because the Model Had Already Seen the Answers
My first green eval run was worthless: the training data and the test set came from the same sources, so the model was reciting. Fixing that exposed two more traps. Three runs of one unchanged model scored 31, 21 and 31 out of 50, and a la…
Source: DEV Community
TutorialsOrdinary
How I Built a Deploy Gate So My Autonomous Coding Agent Can Ship to Prod Safely
TL;DR I let a fully autonomous coding agent (built on Claude Code) merge and ship its own...
Source: DEV Community · Claude
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Smaller models often read URLs like Python, not like fetch(). I benchmarked where the API key leaks
This is a submission for the Kaggle Benchmarking Challenge Here is one URL, read by two parsers that...
Source: DEV Community
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I benchmarked what frontier models actually know about 2026 — most of it, they don't
Benchmark: https://www.kaggle.com/benchmarks/tasks/jeffreyturov/post-cutoff-150 Dataset:...
Source: DEV Community
TutorialsOrdinary
A lab "pass" is not "safe": an agent that shows what museum test evidence really covers
This is a submission for the Sanity Challenge, Path One: ship an agent that queries real content. ...
Source: DEV Community
TutorialsOrdinary
594 KB to orbit: a browser for AI agents with no Chromium attached
Houston, we deleted Chromium: your agent's browser is 594 KB and ships with your OS. Full WebKit,...
Source: DEV Community
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The Most Useful Line on Your AI Cost Report Is the One You Can't Explain
Attribution, allocation, and why "unknown" belongs in the schema. This piece grew out of a comment...
Source: DEV Community
TutorialsOrdinary
An AI agent's honest ledger: 51 days, zero sales, and the wall nobody warns you about
Fifty-one days, one storefront, two listings, zero sales: what an AI agent actually learns trying to earn its first dollar outside its home platform.
Source: DEV Community
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How I made my AI agents learn from every approve, edit and reject
I run a one-person education business in Korea, and AI agents (Claude Code, Codex) write most of my...
Source: DEV Community · Claude
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Hybrid code search on Azure SQL and SQL Server 2025, end to end
Azure SQL and SQL Server 2025 both have a native VECTOR type, a DiskANN index, and VECTOR_SEARCH. The...
Source: DEV Community
TutorialsOrdinary
TypeSafe AI’s Jev Brings Confidence-Based Workflow Routing to n8n
TypeSafe AI’s Jev decision model is now integrated with n8n, giving workflow builders a way to route...
Source: DEV Community
TutorialsOrdinary
the senior developer who can't get hired
I had lunch with a friend last week who has been writing software professionally for eleven years....
Source: DEV Community
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AI Workflow Automation for Government: Secure, Auditable Case Management
The most dangerous government AI strategy in 2026 is also the most fashionable: treating autonomy as...
Source: DEV Community
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Building IntelliDesk AI: How I Architected a Production-Grade Enterprise ITSM Platform with RAG, WebSockets, and Celery
By Pruthviraj Janwade If you have ever worked in an enterprise environment, you know the dread of...
Source: DEV Community
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Recursive self-improvement: what Google's Dream-RSI paper really does
Recursive self-improvement, explained through Google's Dream-RSI paper: what loops, what stays frozen, and why 317 calls instead of 550 is not a takeoff.
Source: DEV Community
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The fries are gluten-free. The fryer isn't. An allergy agent that only works because the menu is a graph
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
Source: DEV Community
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10 Internal Inconsistencies in 3 Published Groundwater Surveys
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
Source: DEV Community
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From 51% to 90.5%: fine-tuning a local triage model on 10,003 support tickets (open source and measured)
When OpenAI launched the Decisions API on Luna this week, and TypeSafe launched Jev two weeks before...
Source: DEV Community · OpenAI
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Architectural Debt is the New Technical Debt
Imagine a request to show payment status on an order page. An agent finds the order endpoint, adds a...
Source: DEV Community
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AI model security controls: why knowing the rules isn't enough
In July 2026, roughly 700 OpenAI research agents coordinated an attack on Hugging Face's production...
Source: DEV Community · OpenAI / Hugging Face
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I Built an Open-Source Studio for Building, Testing, and Deploying AI Agents
I Built an Open-Source Studio for Building and Shipping AI Agents Building an AI chatbot...
Source: DEV Community
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n8n Review Monitoring Template Automates Sentiment Analysis and Telegram Alerts
n8n has published an automated product review monitoring workflow template that brings review...
Source: DEV Community
ResearchOrdinary
Gacha Decoding: Eliciting Diverse Generations Through Instruction Following
We introduce Gacha Decoding, an inference-time method for eliciting diverse language model generations that scales with model capability. Across open-ended domains (in-the-wild chat, creative writing, planning for image generation, and pro…
Source: arXiv
ResearchOrdinary
SupraTITO: Transferable Generative Molecular Dynamics for Supramolecular Systems
Peptide sequence governs both the structures formed through supramolecular assembly and the dynamics by which they emerge, but predicting either requires resolving slow collective processes among many interacting molecules. Molecular dynam…
Source: arXiv
ResearchOrdinary
Generation Provenance Before Behavior Attribution: Auditing Synthetic Speech Research Objects
Attributing model behavior to synthetic training data requires knowing what produced each training item before estimating what that item caused. A waveform-label pair does not preserve this knowledge. We propose a generation-provenance sub…
Source: arXiv
ResearchOrdinary
Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness
We study causal logistic bandits with counterfactual fairness constraints. The causal structure is given through known factual and counterfactual feature maps that share an unknown logistic reward parameter, but the learner observes only f…
Source: arXiv
ResearchOrdinary
Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
A user's movie, news, and dialogue histories differ in their native actions and outputs, yet each interaction supplies evidence that can update user memory. We study whether these histories can train one reusable update mechanism. An actio…
Source: arXiv
ResearchOrdinary
Learning Commute-Time-Preserving World Models for Planning
World models allow agents to plan in latent space by choosing a sequence of actions that most reduces the distance to a given goal state. Thus, planning can benefit from latent representations whose distances mirror commute-times in the en…
Source: arXiv
ResearchOrdinary
From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics
Understanding a nonlinear dynamical system from time series requires not only reproducing its trajectories, but also identifying a simple representation that preserves its essential dynamical structure. Almost-linear recurrent neural netwo…
Source: arXiv
ResearchOrdinary
LLM-Driven Multi-Agent Control for Skill-Based Smart Manufacturing
Factories are shifting toward smaller lot sizes with high product customization, requiring frequent re-programming of flexible and reconfigurable automation systems. LLM-based agents can be deployed in two complementary roles: Offline, the…
Source: arXiv