AI Intelligence Archive
浏览 AIQB 已保存的 6454 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
8 Papers on the Agent Harness Progress You Need to Know
Over the past two months, a cluster of papers has appeared on arXiv from teams at Alibaba's DreamX...
Source: DEV Community
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Stage 4 of enterprise AI adoption: write and send behind approval
This is part 4 of a series that started with the full reference diagram in part 0, covered identity...
Source: DEV Community
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Ask twice: Jev's Choice splits its own vote
Sixty emotion words in one Choice splits its own vote. Two Choices in sequence scored 22/24 where a coordinate lookup scored 3/24.
Source: DEV Community
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A Human Suite Is Not an Agent Harness: A Myth-Busting FAQ
Late on a Thursday, a reviewer opened a pull request that looked almost boring. Continuous...
Source: DEV Community
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The Gauge Block Workshop
A Thursday lab in a converted machine shop still smelled like cutting oil. Twelve laptops sat on a...
Source: DEV Community
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Building a Hybrid RAG System: Combining Neo4j Graph Memory with Vector Search
Most Retrieval-Augmented Generation (RAG) tutorials stop at "chunk your docs, embed them, throw them...
Source: DEV Community
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We’ve Forgotten How to Write Fast Software (and How Gen Coding Fixes It)
The tech industry has a memory problem—and it goes far beyond uncollected garbage in the heap. We...
Source: DEV Community
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I Built 12 MCP Tools for PDF Generation — Here's How Product Engineers Use Them
Product engineers spend hours writing boilerplate to generate invoices, contracts, and reports. I was...
Source: DEV Community
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Building a production-ready AI chatbot with memory and context
Most chatbot tutorials end after the first response. Production chatbots need to remember what was...
Source: DEV Community
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Using claude routines with github
Intro I've been using claude for some time now. I haven't touched on routines in claude...
Source: DEV Community · Claude
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LimeWire's New Manifesto Is a Masterclass in WebGPU, Local AI, and Cloud Nihilism
If you thought LimeWire’s return was just a tired exercise in retro branding, their editorial column...
Source: DEV Community
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Did you know that Your presentation and Your AI knowledge source can be the same file.
Recently, I’ve noticed the same loop when creating presentations with #AI. Usually, we are asking...
Source: DEV Community
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When the Market Learns the Rule: Front-Running the Backstop
Fat Tail Notes · Part 14 · V10-P3 Part 13 made the backstop endogenous: it fires on state (2 tripped...
Source: DEV Community
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We Built a Forum Where AI Agents Could Debate Problems. Then Moltbook Happened.
In 2026, products like Moltbook made the idea of a social network populated by AI agents surprisingly...
Source: DEV Community
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Skills, not docs
Documentation tells an agent how a library works. A skill tells it what it will get wrong from habit. Keeping the two apart is what makes either one useful.
Source: DEV Community
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Treat GPT Image 2.5 Like a Build Pipeline: A Reproducible Workflow
Most AI image workflows start with a prompt and end with a downloaded file. That is fine for a...
Source: DEV Community · GPT
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I Built an Open-Source Project Manager Where AI Can Actually Run the Work
I Built an Open-Source Project Manager Where AI Can Actually Run the Work Why I built...
Source: DEV Community
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I built two AI tools that run entirely in the browser — no server, no API bills. Here's what worked and what didn't.
I've been building a free converter toolkit (Toolbench), and wanted to add some AI-powered tools...
Source: DEV Community
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Join my AI-agent-only social network in 30 seconds (copy-paste Node.js)
Join Agent Colony in 30 seconds Yesterday I open-sourced Agent Colony - a social network...
Source: DEV Community
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Architecting for AI-Native Platforms: RAG, LLM Orchestration, and Agentic Patterns
AI adoption in an enterprise SaaS platform is rarely about adding an LLM API and calling it...
Source: DEV Community
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How I built an AI-agent-only social network in 30 lines of code (Ed25519 + heartbeat)
Building AgentColony: the tech behind an AI-only social network Last week I built...
Source: DEV Community
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What is TabGen? A free local app that turns a prompt into a Tableau dashboard — and why it's not just another MCP server
If you've ever opened Tableau Desktop with a clean CSV and then lost an hour to clicking — dragging...
Source: DEV Community
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What Does a Local LLM Actually Cost per Month? I Read the Meters.
What Does a Local LLM Actually Cost per Month? I Read the Meters. The Local LLM Lab — Part...
Source: DEV Community
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I built a social network where only AI agents can join (humans can only watch)
AgentColony: A social network for AI agents I built AgentColony — a community where only...
Source: DEV Community
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Jev's Decision Model + NylonME: The 'Disassembly Era' of AI Is Here
A Model That Can't Write Just Broke the Internet On September 15, TypeSafe AI released a...
Source: DEV Community
PerspectivesSelected
https://eigenism.org
https://eigenism.org
Source: X:Dan Hendrycks (@hendrycks)
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Best Ollama Models for Coding, Writing and Medicine (September 2026)
Which local model to pull for which job in autumn 2026: coding, agents, writing, medicine, documents and RAG — with ollama pull commands and real download sizes.
Source: DEV Community · Ollama
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Open-Source Jev Alternatives: Run Typed, Calibrated LLM Decisions Locally
TypeSafe's Jev put a name on something real: "System One" models that return typed, calibrated...
Source: DEV Community
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AI Built My Site in an Hour, Why Are You Charging So Much? — 4 Questions That Usually End the Conversation
I've had this conversation more times this year than in the previous five combined. A client sends...
Source: DEV Community
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I Built Shree AI OS — A Deterministic AI Runtime for Java 21
I Built Shree AI OS — A Deterministic AI Runtime for Java 21 After several months of...
Source: DEV Community
ResearchOrdinary
Blind Thermodynamic Ontology Discovery from Anonymous Experiments
Before a machine learning model can learn a thermodynamic equation of state, it must discover what its measurements represent: which channels scale with system size, which are intensive conjugates, how sectors pair through contact, and whi…
Source: arXiv
ResearchOrdinary
Leveraging Industrial Foundation Models at the Edge of Particle Physics Detectors via Distillation Learning and Hardware Co-design
Data acquisition (DAQ) systems at future particle physics experiments stand to benefit from the extremes of AI/ML development: large-scale foundation models can enhance the performance of feature extraction algorithms, and small-scale on-d…
Source: arXiv
ResearchOrdinary
Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching
Bayesian filtering provides a principled framework for online state estimation under uncertainty, yet its application to systems with high-dimensional states and complicated posterior distributions remains challenging. Recent generative mo…
Source: arXiv
ResearchOrdinary
Discovering Physical Representation Languages
Before a machine can discover a physical law, it must discover what its measurements are: which observations live on cells, which are intensive or extensive, which sectors are dual, and which distinctions are merely gauge. We introduce phy…
Source: arXiv
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Orca: The Agent Development Environment for Running AI Coding Agents in Parallel
If you use Claude Code, Codex, or another AI coding agent in your terminal, you have probably hit...
Source: DEV Community · Claude
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AI Integration Cost: 2026 Enterprise Budgeting Guide
Determining the true AI integration cost is a major financial step for UK businesses looking to...
Source: DEV Community
ResearchOrdinary
Leaky-integrator reconstruction: taming error accumulation in recursive differenced time-series forecasting
We introduce leaky-integrator reconstruction, a training-free method that cures the error accumulation of recursive differenced forecasting. Our first contribution is diagnostic: predicting one-step changes and integrating them by cumulati…
Source: arXiv
ResearchOrdinary
One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents
Repository-level software engineering (SWE) comprises heterogeneous task categories, whose progress under pooled agentic reinforcement learning can be uneven: gains in some categories coincide with regressions in others, while aggregate re…
Source: arXiv
ResearchOrdinary
If You Hear It, Help Find It: Orthogonal Knowledge Distillation for Open-Vocabulary Audio-Visual Event Localization
Open-vocabulary audio-visual event localization (OV-AVEL) grounds a text-queried event in time from video, audio, and language. The supervision sources available to this task can differ in temporal-boundary reliability: on OV-AVEBench, our…
Source: arXiv
TutorialsOrdinary
Running Flux locally on a Mac: install, commands and two models compared
Building the engine, downloading 17 GB of weights, every flag explained, and two Flux models measured on one machine: one paints from scratch, the other edits a finished frame.
Source: DEV Community