AI Intelligence Archive
浏览 AIQB 已保存的 9759 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
A Game That Replaces Doomscrolling, Powered by Local AI (Ollama)
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community · Ollama
TutorialsOrdinary
Human-in-the-Loop
Should Agentic AI be in complete control of my codebase?
Source: DEV Community
TutorialsOrdinary
How I Broke 37 Circular Imports in a Python Codebase With Claude Code
TL;DR I had a ~180k-line Python service with 37 circular import chains, held together by...
Source: DEV Community · Claude
TutorialsOrdinary
What My AI Broke This Week #1: Nothing. It Was Me, Three Times
This week the agent broke nothing. I broke three things, and it spent the week politely proving...
Source: DEV Community
TutorialsOrdinary
How to Protect Local Credentials from a Coding Agent with Agent Guard
ou have a local project that a coding agent needs to work on, and the same Mac also holds the AWS...
Source: DEV Community
PerspectivesOrdinary
https://github.com/humanlayer/fold
https://github.com/humanlayer/fold
Source: X:Dex Horthy(HumanLayer)(@dexhorthy)
TutorialsOrdinary
5 Best AI-Native API Platforms for Developers in 2026
APIs have always been an important part of software development. But in 2026, they are becoming even...
Source: DEV Community
TutorialsOrdinary
I asked 63 models the same 76 questions, with and without web search
The 2026 standard deduction for a single filer is $16,100. I asked 63 models what it was. Asked from...
Source: DEV Community
TutorialsOrdinary
grasscast: a "should I go outside?" forecast that learns your taste from a few dozen outings (TabPFN + Temporal)
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Teaching AI Security: Hands-On LLM Hardening with Docker Desktop and Security Gateways
A complete guide to teaching AI security on student laptops with zero API costs using Docker, Ollama,...
Source: DEV Community · Ollama
TutorialsOrdinary
Same bug, two IDs: an open RL dataset shares 15% of CyberGym's bugs, and a plain ID join misses 38% of them
Open RL environments are great for research. They also open another route for benchmark overlap. Here...
Source: DEV Community
TutorialsOrdinary
I Tested Whether Frontier AI Can Do a Texas Real Estate Agent's Desk Work — Here's What 3 Models Taught Me (and What the 4th Taught Me About Benchmarks)
I'm a Texas real estate agent (eXp Realty). I spend my mornings doing desk work that has to be...
Source: DEV Community
TutorialsOrdinary
Local LLM on a Laptop: 7 Surprising Speed Facts
Published: 2026-10-03 Table of contents What a local LLM actually is Why run a model on...
Source: DEV Community
TutorialsOrdinary
Chrome DevTools MCP for Claude Code: Let It Read the Console, Network, and Performance (2-Minute Setup)
Stop being the copy-paste middleman between DevTools and Claude Code. The official Chrome DevTools MCP lets the agent read console errors, network req
Source: DEV Community · Claude
TutorialsOrdinary
IRL Quest — AI That Gives You a Reason to Put Your Phone Down 🌿
IRL Quest 🌿 AI that gives you a reason to put your phone down. Built for the Hacktoberfest...
Source: DEV Community
TutorialsOrdinary
Group chat orchestration: the pattern that works beautifully until it doesn't
I once watched a group chat of eleven agents spend forty minutes debating whether a research summary...
Source: DEV Community
TutorialsOrdinary
We migrated 70,000 tests from Jest to Vitest. Yes, in 2 months
YOU got it right. We migrated 70,000 tests (reads: 70 thousand) from Jest to Vitest. The logical...
Source: DEV Community
TutorialsOrdinary
My agent met the real web. 403s, challenges, and the coming tollbooth.
200 real URLs, one vanilla agent, zero challenge solving — 82.5% readable, 72 hosts blocking every AI crawler, zero x402 yet, and one site running a declared paywall with the gate up.
Source: DEV Community
TutorialsOrdinary
I run a one-person game studio on Claude Code. Two months, 7 games, about $1 in ad revenue.
15 subagents, one producer, and the rules I had to write after things went wrong.
Source: DEV Community · Claude
TutorialsOrdinary
GPT-2 is the transformer plus five decisions, and inference is a different program
Originally published at cchinchilla.dev. Part 6 of From code to weights, a 12-part series on ML...
Source: DEV Community · GPT
TutorialsOrdinary
EU AI Transparency Rules Take Effect in 2026: What Businesses Must Disclose
The EU AI Act will introduce new transparency duties for businesses that provide or deploy certain AI...
Source: DEV Community
TutorialsOrdinary
How We Remove Watermarks from Video Fast: Motion-Adaptive Frame Skipping + Temporal EMA
(and the bug that froze our masks — a regression story about wiring performance switches to product...
Source: DEV Community
TutorialsOrdinary
My AI memory bank grew to 240k tokens per session. Here is what I got wrong.
In December 2025 I shipped a small CLI called Context Bank. The idea was simple and, I still think,...
Source: DEV Community
TutorialsOrdinary
The AI Security Paradox: Why Old Laws Create Digital Enclosures
If you think AI cybersecurity is currently being handled by smart people with everything under...
Source: DEV Community
TutorialsOrdinary
TrailWhisper — The 100% Offline Nature Guide Built to Turn Off Your Screen
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
How to build an AI agent that reads 10-K Risk Factors
Day 8 of 30 Days of Search. A company can report strong growth and still disclose risks that...
Source: DEV Community
TutorialsOrdinary
Building SortSense: A Local AI File Organizer Built in a Single Hack Day
Building SortSense: A Local AI File Organizer Built in a Single Hack Day hacktoberfest...
Source: DEV Community
ResearchOrdinary
DeltaReplay: Task-Relative Memory Reuse for Mobile GUI Agents
Memory-augmented mobile GUI agents store successful execution trajectories and reuse them in later tasks, but a stored trajectory rarely matches a new task exactly. The new task may use different parameters, share only some of its steps wi…
Source: arXiv
ResearchOrdinary
Does an Illumination Prior Help Face-Swap Detection? A Controlled Study of Temporal Self-Blended Images
Self-blended images are widely used to train face-swap detectors, but primarily capture blending artifacts. We investigate whether adding illumination inconsistencies improves detection. Temporal Self-Blended Images (T-SBI) transfer lighti…
Source: arXiv
ResearchOrdinary
Intervention anchors and scientific verification in synthetic vascular predictive representations
Complete orthogonal predictive coordinates do not by themselves bind a latent direction to a named intervention. We present a mathematical and synthetic audit motivated by vascular device-vessel suitcordance. Capacity-matched least-squares…
Source: arXiv
ResearchOrdinary
What is the goal of unsupervised machine learning?
Unsupervised learning is one of the main branches of machine learning. Here I argue that unlike the other branches of machine learning (supervised and reinforcement learning), unsupervised learning is a rather heterogenous field that can s…
Source: arXiv
ResearchOrdinary
A 3D Characterization Framework for Intelligent Sequential Decision Making
Puzzles are widely used to evaluate the reasoning capabilities of artificial intelligence (AI) systems for sequential decision making, yet approaches originating from different paradigms are rarely compared under unified conditions. To add…
Source: arXiv
ResearchOrdinary
Structured Sentiment Analysis Using Sequence Labeling as Dependency Graph Parsing
This study addresses the problem of structured sentiment analysis, whose goal is to obtain a fine-grained sentiment graph where the nodes represent spans of sentiment holders, targets, and expressions, while the arcs define the relationshi…
Source: arXiv
ResearchOrdinary
Elucidating the Space of Enzymatic Reaction: A Unified Benchmark and Pretrained Model
Existing reaction models primarily learn molecular transformations, whereas enzy- matic reactions depend jointly on molecular structure and catalytic function. We formulate this problem as learning an enzymatic reaction space linking react…
Source: arXiv
ResearchOrdinary
Can Jev be Your Q or Policy in Reinforcement Learning?
Foundation models supply reinforcement learning (RL) with priors that mitigate its longstanding weaknesses in sample efficiency and transfer, but their token-by-token generation makes queries sequential and costly. Jev, a recently released…
Source: arXiv
ResearchOrdinary
Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention
In the graph model for conflict resolution (GMCR), a decision maker (DM) either moves the conflict to another state or does nothing. The basic definitions leave inaction implicit, so every action that leaves the state unchanged is treated …
Source: arXiv
ResearchOrdinary
HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolution
Image-to-3D generation has become increasingly capable of producing objects that closely resemble the input image, and an outstanding challenge is to reproduce the depicted object itself, including the specific geometry that defines it. In…
Source: arXiv
TutorialsOrdinary
Stop describing UI to your AI agent in words. Point at it.
I built an MCP server that lets you click a layer on your running web page or Android app, drag it, and hand the exact element to Claude Code, Cursor or Codex.
Source: DEV Community · Claude / Cursor
ResearchOrdinary
Camera-Noise Residuals for Face-Swap Detection: Redundant, Not Complementary, and Why
Fusing a learned camera-noise fingerprint with an RGB appearance backbone is an appealing route to generator-independent deepfake detection, because the noise residual is grounded in image-formation physics rather than in the texture stati…
Source: arXiv
ResearchOrdinary
TRACE: Diagnosing Verifier Brittleness in Agentic Evaluation
Verifier scores now serve as both benchmark metrics and training rewards for large language model (LLM) agents, and a change in score is routinely read as a change in capability. It may instead reflect a change in the evaluation. We introd…
Source: arXiv