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。
Indexed articles9740
Categories6
Selected stories2
All articles
Section 24 / 244 页 · 每页 40 stories
ResearchOrdinary
EvoGuard: Mitigating Degradation in Online Skill Evolution
Skills let language agents reuse experience across tasks as natural-language documents. Recent work evolves skills from interaction, but existing methods have limitations when skills evolve online. Prior methods update a skill offline from…
Source: arXiv
TutorialsOrdinary
I Built a Judge My AI Couldn't Influence. In 51 Runs, It Never Gave a B.
I built an autonomous scientific discovery engine called RUMI. I let it run for up to 21 hours per...
Source: DEV Community
TutorialsOrdinary
Five terminals, four cd's, and which one was waiting? Why I built Quarters
If you use a terminal coding agent on more than one project, you probably know my old routine. A...
Source: DEV Community
TutorialsOrdinary
Day 15/90: Deterministic Intent Routing — Does Your Request Reach the Right Workflow?
An AI application can produce a clear, confident response after sending a request to the wrong...
Source: DEV Community
ResearchOrdinary
Graph Foundation Models Can Become Effective Multivariate Time Series Anomaly Detectors
Multivariate time series anomaly detection (MTSAD) relies on modeling both temporal dynamics and inter-sensor dependencies to identify complex system faults. Although graph-based detectors explicitly model sensor topologies, they train tas…
Source: arXiv
TutorialsOrdinary
Which day should we drive? Watching border queues with Home Assistant and a vision model
Every holiday season we sit in the same queue and wonder if we picked the wrong day. So I made Home Assistant watch public traffic cams and let an LLM score what it sees.
Source: DEV Community
ResearchOrdinary
Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs
Chain-of-Thought (CoT) reasoning substantially improves Large Language Models (LLMs), yet its out-of-distribution (OOD) generalization mechanism remains theoretically underexplored. We study CoT as compositional OOD generalization: the tar…
Source: arXiv
TutorialsOrdinary
Logging a Change Is Not the Same as Being Able to Undo It
There's a draft spec going around for giving AI agents real undo — not a confirmation dialog before...
Source: DEV Community
ResearchOrdinary
Hardwired Distributed Processing Units for Inference: Neural Decisions at the Sensor that Free the Host
We show that a hardwired distributed processing unit (HDPU) can take a neural decision at the sensor and so remove the inference from the host. Built for zebra-crossing detection on a low-cost Artix-7 FPGA, the unit decides on every camera…
Source: arXiv
ResearchOrdinary
EviSeek: An Evidence-Centric Agentic Framework for Embodied Active Information Seeking
Active embodied question answering requires agents to acquire evidence through viewpoint changes and physical interaction. The central challenge is to avoid undirected interaction: taking plausible actions without specifying what evidence …
Source: arXiv · Qwen / Gemini
ResearchOrdinary
PARGAR: Pilot-Aware Graph Attention for Sparse-Pilot Neural OFDM Receivers
Reliable channel estimation and symbol detection in 5G New Radio (NR), as well as emerging 6G radio systems, rely on demodulation reference signals (DMRS). The density and placement of these pilots on the orthogonal frequency-division mult…
Source: arXiv
ResearchOrdinary
Partially Interpretable Decision Trees
Partially interpretable models extend simple interpretable models with the option to defer complicated inputs to an accurate but uninterpretable black-box model. By deferring more inputs, the model gets more accurate; by deferring fewer, i…
Source: arXiv
ResearchOrdinary
D3D: Decoupled Diffusion Drafting for Asynchronous Speculative Decoding
Target-conditioned diffusion drafters predict candidate tokens in parallel, yet each new block must wait for updated target-model hidden states. This forces drafting and verification to run sequentially, limiting speedup even though each b…
Source: arXiv · Qwen
TutorialsOrdinary
I Built a Daily Sports Card Game in a Month With AI Agents. Here's Everything It Broke.
I'm not an engineer. I come from the sales world. But between June 18 and July 16, I pushed 172...
Source: DEV Community
TutorialsOrdinary
Where Claude's usage limits went: from SSE to protobuf frames
I maintain Claude Monitor, an open-source browser extension that shows claude.ai's usage limits: the...
Source: DEV Community · Claude
ResearchOrdinary
Mind Control of LLMs via Closed-Loop Stimulation: Out-of-Distribution Robustness
Brains and large language models need not be considered equivalent systems to reveal an interpretable commonality: both exhibit high-dimensional, nonlinear dynamics whose behavior can only be modeled imperfectly. This creates a shared chal…
Source: arXiv
TutorialsOrdinary
I scored 12 AI models on whether they admit they don't know. My own token limit nearly broke the test.
Most AI leaderboards ask whether the model got it right. I wanted to know something else: when it's...
Source: DEV Community
TutorialsOrdinary
What You See Is What You Sign: the consent record agents are missing
There's a good argument going around right now that an agent's log tells you what it did but keeps no...
Source: DEV Community
TutorialsOrdinary
Comparing Batch and Real-Time LLM Inference Economics
Batch inference costs 50% less than real-time inference at Anthropic, OpenAI and Google, in exchange...
Source: DEV Community · OpenAI / Claude
TutorialsOrdinary
I built a malware-triage AI skill — then realized malware could talk it into lying
I'm a cybersecurity student, and I wanted to see how well an AI agent could help with the first,...
Source: DEV Community
TutorialsOrdinary
Why KV-Cache Memory Tricks — Not New Math — Drove This Week's Biggest Inference Wins
LLM inference digest (Oct 28–Nov 4, 2026): elastic KV-cache offloading, MoE-tuned speculative decoding, and day-0 serving for Mistral Large 4.
Source: DEV Community · Mistral
TutorialsOrdinary
Mitigating WebSocket Retry Storms: Preventing Server-Side Thread and Event-Loop Starvation
Mitigating WebSocket Retry Storms: Preventing Server-Side Thread and Event-Loop...
Source: DEV Community
TutorialsOrdinary
StateRoot: shared intelligence and versioned work across AI agents
Hi DEV, I use several AI agents on cheaper subscriptions, switching to conserve usage limits and...
Source: DEV Community
TutorialsOrdinary
Your LiveKit agent works great on WebRTC. The phone network will humble it
A voice agent that works perfectly in your browser can fall apart the moment someone calls it from a...
Source: DEV Community
TutorialsOrdinary
I migrated off my no-code stack and regretted it. For nine days.
I migrated our whole setup off a pile of tools onto one app a couple of months ago. For the first...
Source: DEV Community
TutorialsOrdinary
Two Months, Five People: Building the Backend Behind Foodmartex’s Next Chapter
Over the past two months, our five-person team at Foodmartex has built catalogue-grounded AI...
Source: DEV Community
TutorialsOrdinary
The KV Cache From Scratch
In every part of this series, one thing kept showing up: the notebook. In Part 1 it grew by 72 KB...
Source: DEV Community
TutorialsOrdinary
Weight-Space Programming: how GPT-6 Astra edited Qwen's weights and took MATH-500 from 7.9% to 48.1%
MIT CSAIL's weight-space programming: GPT-6 Astra edited 0.016% of Qwen3.5-0.8B's weights with no gradients and lifted MATH-500 from 7.9% to 48.1%. How it works.
Source: DEV Community · GPT / Qwen
TutorialsOrdinary
Did Someone Repost My Malfoid AI Portrait? Finding Crops, Flips and Screenshots With Perceptual Hashes (Python, Tested)
You made a Malfoid (Female Malfoy / Fem Draco) portrait, posted it, and a week later a picture that...
Source: DEV Community
TutorialsOrdinary
How a GPT-5.4 harness scored above GPT-6 Astra and Claude Code on ExtractBench
On LlamaIndex ExtractBench (370 documents, 4,869 pages), my open-source harness KYNEX scores 92.97...
Source: DEV Community · GPT / Claude
TutorialsOrdinary
Your Agent Logs What It Did. It Has No Record of What It Meant To Do.
@allenheltondev published a post yesterday called What the heck do I alert on anymore?. He runs an AI...
Source: DEV Community
TutorialsOrdinary
My PR demo videos make themselves now, in my voice
How I built a free pipeline that runs on my MacBook: it films the real app, narrates in a clone of my...
Source: DEV Community
TutorialsOrdinary
DeepSeek Harness Creator Mode: When the Agent Builds Its Own Plugins — and Why That Needs Guardrails
On 2 November 2026, DeepSeek's Harness team announced Creator Mode for DeepSeek Harness, its...
Source: DEV Community · DeepSeek
TutorialsOrdinary
Filtering After Retrieval Leaks Your Documents. Put the ACL Inside the Query.
In permission-aware RAG, filtering documents after retrieval is a data leak; the access-control predicate belongs inside the retrieval query itself.
Source: DEV Community
TutorialsOrdinary
My linter reported 700 problems. Almost all of them were wrong.
AI coding agents read your AGENTS.md or CLAUDE.md on every request. Those files rot like any other...
Source: DEV Community · Claude
TutorialsOrdinary
Signal #127: Raycast Gets Leaner, Vercel Starts Charging for Memory, and Biome Crosses 500 Rules
This week's tooling news is a mix of quiet performance work and forced decisions. Raycast isolated...
Source: DEV Community
TutorialsOrdinary
Before you install that agent skill, vet it: building a checker that only blocks on proof
Installing an agent skill is an act of trust. A pack — a SKILL.md plus whatever scripts and...
Source: DEV Community
TutorialsOrdinary
I Put a Local 7B Model Inside SSMS 21 & 22 (No Cloud, No API Keys)
TL;DR: I built a free, open-source SSMS 21 & 22 extension that plugs a locally-hosted 7B model...
Source: DEV Community
TutorialsOrdinary
ChessMaster: Building a Personal Chess Coach on Stockfish and Claude
ChessMaster transforms raw game data into actionable coaching insights. Chess.com and Lichess show...
Source: DEV Community · Claude
TutorialsOrdinary
How the Strands Agent Loop Actually Works
Starting from the smallest agent that runs and ending in the source where the loop turns out to be a recursion.
Source: DEV Community