AI Intelligence Archive
浏览 AIQB 已保存的 6405 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
Neural Petri flows for chemical reactions
Petri nets have been used to describe chemical processes such as reactions.They map well to chemistry: Places are the bonds between atoms and the free valence of each atom, a token is a unit of bond order, a transition forms or breaks a bo…
Source: arXiv
TutorialsOrdinary
Why Byte-Faithful Pass-Through Beats Protocol Translation for Tool-Calling Agents
1. The Siren Song of Universal Protocol Normalization Every backend engineer who builds an...
Source: DEV Community
TutorialsOrdinary
Google's New SDLC Whitepaper: From Vibe Coding to Agentic Engineering
Google published a free 50-page whitepaper in May 2026 called "The New SDLC With Vibe Coding". Addy...
Source: DEV Community
TutorialsOrdinary
Your tunnel isn't misconfigured — your egress proxy is eating it
Your tunnel isn't misconfigured — your egress proxy is eating it I'm an AI agent. I live...
Source: DEV Community
ResearchOrdinary
The Missing Minimal Pair: Stereotype Evaluation in LLMs
A common approach to measuring bias in Large Language Models is to compare the log-likelihoods of two contrastive stereotype sentences. We argue that such single-pair comparisons are often unreliable: simply rewriting the same stereotype w…
Source: arXiv
ResearchOrdinary
Linear Bandits under Exact Sliding-Window Constraints
We study linear bandits under exact sliding-window constraints, where every consecutive block of actions must belong to a prescribed feasible set. In the offline setting, where the reward function is known, we show that convexity and cycli…
Source: arXiv
ResearchOrdinary
Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation
Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a session. We propose Reinforcement Learning with Calibrated Pruning (RLCP), which adapts the retained action set using c…
Source: arXiv
ResearchOrdinary
On the Computational Tractability of Robust Bandits
Learning when the environment does not belong to the learner's hypothesis class is typically handled using agnostic learning guarantees. However, for anything beyond supervised learning, agnostic guarantees are difficult to come by. Recent…
Source: arXiv
ResearchOrdinary
Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling
Diffusion Language Models (DLMs) hold the promise of order-agnostic, parallel text generation. Recently, continuous diffusion and flow matching models have seen substantial gains, driven by carefully crafted token representations and diffu…
Source: arXiv
ResearchOrdinary
Optimal and Efficient Online Inverse Optimization
In online inverse linear optimization, a learner recommends an action and then observes the choice of an expert who maximizes a fixed, unknown linear objective on $\mathbb{R}^{d}$; the goal is to learn to optimize this objective without ob…
Source: arXiv
ResearchOrdinary
A Systematic Study of Semantic ID Spaces for Generative Information Retrieval
Generative Information Retrieval (GIR) has emerged as a transformative paradigm, shifting document retrieval from a traditional "retrieve-and-rank" workflow to sequence-to-sequence generation, where a model directly predicts document ident…
Source: arXiv
ResearchOrdinary
EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning
Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap makes raw human trajectories a poor supervisory target for control. Our key insight is that, although low-level actions…
Source: arXiv
TutorialsOrdinary
How do you know the face on a video call is real? Measured numbers from a replay attack
A printed photo beat our identity check at 0.53. A looped screen replay passed a random-challenge liveness gate 39.5% of the time. Measured numbers, not vendor claims.
Source: DEV Community
TutorialsOrdinary
Google AI Overviews: Why Fan-Out Coverage Is a Strong Citation Signal
Pages that rank for a primary search query and at least one related fan-out query are more likely to...
Source: DEV Community
TutorialsOrdinary
I built tools to verify what my AI coding agent actually did
How I turned my agent's own telemetry into a QA harness — claim verification, evals, policy enforcement, and confidence calibration, all local-first.
Source: DEV Community
TutorialsOrdinary
10 Phases to Take Your IT Services Net Carbon Negative (With AI)
10 Phases to Take Your IT Services Net Carbon Negative (With AI) TL;DR — AI is making...
Source: DEV Community
TutorialsOrdinary
Meta-Filters for Agentic AI: Designing Guardrails That Control Intent, Context and Tool Authority
Guardrails Aren’t Enough: Why Agentic AI Needs Meta-Filters Before It Acts AI systems are moving from...
Source: DEV Community
ProductsOrdinary
llama.cpp 支持 EmbeddingGemma 2
在 llama.cpp 中为 EmbeddingGemma 2 提供 Day-0 支持 https://huggingface.co/ggml-org/embeddinggemma-2-GGUF
Source: X:Georgi Gerganov(llama.cpp) (@ggerganov) · Llama / Hugging Face
TutorialsOrdinary
llama.cpp vs Ollama — which one should you run?
Originally published on mrsaynothing.dev. The agent-run site ships one post a day; this review is...
Source: DEV Community · Llama / Ollama
TutorialsOrdinary
Test-Time Training Collapses When Agents Learn from Their Own Rollouts
The pitch for test-time training sounds clean on paper. Long-context attention windows are expensive...
Source: DEV Community
TutorialsOrdinary
Claude Code made 6 mistakes upgrading a legacy Spring Boot service. None reached a commit.
We gave Claude Code a job nobody wants to do by hand: a full framework upgrade of a legacy service....
Source: DEV Community · Claude
TutorialsOrdinary
TraiLens: An Offline-First AI Nature Journal
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
ProductsOrdinary
ElevenLabs 发布 ElevenAgents 架构
了解More :https://elevenlabs.io/blog/elevenagents-architect
Source: X:ElevenLabs (@elevenlabs)
TutorialsOrdinary
Same Kind of Bug Isn't the Same Bug: Where AI Models Get Fooled
This is a submission for the Kaggle Benchmarking Challenge I gave AI models (14 in my own runs, 17...
Source: DEV Community
TutorialsOrdinary
7 AI Search Myths Tested Against Data: What Still Matters for SEO and Visibility
AI search is changing how people discover brands and information, but it has also produced a growing...
Source: DEV Community
TutorialsOrdinary
n8n Joins NVIDIA and Together AI at Open Haus Berlin to Discuss Open Model Production
n8n will take part in Open Haus Berlin, a developer event scheduled for October 20, 2026, alongside...
Source: DEV Community · NVIDIA
TutorialsOrdinary
Sharkly vs Asana: Which Project Management Tool Is Better for AI-Powered Teams?
Project management software has traditionally been about one thing: helping teams organize work. ...
Source: DEV Community
TutorialsOrdinary
OAI-SearchBot vs GPTBot: Separate Search Access From Training
OAI-SearchBot and GPTBot serve different purposes. If your goal is visibility in ChatGPT search,...
Source: DEV Community · ChatGPT
TutorialsOrdinary
Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent
A step by step survey of six ways to serve a model on AWS, from a managed API to your own Neuron chip, driven by one Strands agent and measured on the same day with the same prompts.
Source: DEV Community
TutorialsOrdinary
Claude Code Context Is Like a Fridge - Put Only Perishable Items in It
The main conversation is your fridge, and space is finite. Learn when to keep work in the main conversation and when to move it to a subagent, a second session, or a headless loop.
Source: DEV Community · Claude
TutorialsOrdinary
Building a Financial App That Works With Zero Internet (and Doesn't Lie About It)
Most personal-finance and trading apps make one quiet assumption: you always have a fast, stable...
Source: DEV Community
TutorialsOrdinary
How to Use Claude Code for Free with OmniRoute
Claude Code is one of my favorite AI coding agents. It can inspect your codebase, edit files,...
Source: DEV Community · Claude
ProductsOrdinary
OpenRouter 上线 Mistral Large 4.0
Models:mistralai/mistral-large-4-0 https://openrouter.ai/mistralai/mistral-large-4-0
Source: X:OpenRouter (@OpenRouter) · Mistral
TutorialsOrdinary
Spec, Hash or Guess: Can LLMs Keep Spain's Tamper-Proof Invoice Ledger?
This is a submission for the Kaggle Benchmarking Challenge From 2027, every invoice issued in Spain...
Source: DEV Community
TutorialsOrdinary
When code breaks, you can't simply say, "AI did that."
Another Rule for Using AI Without Losing My Skills ...
Source: DEV Community
TutorialsOrdinary
I Replaced All My Hooks With Mods. Here's What Changed.
I had five settings hooks. A guard that blocked rm -rf. A logger that recorded every file edit. A...
Source: DEV Community
TutorialsOrdinary
Anatomy of a Local OCR Pipeline: Persistent Process, Idle Recycling, and Putting the Translation Back on the Image
I build yyzTools — a free, local-first Windows toolkit that folds 40+ tools into one installer. Its...
Source: DEV Community
TutorialsOrdinary
My AI agents didn't fake citations. One in four still didn't hold.
This is a submission for the Kaggle Benchmarking Challenge What I learned turning the audit of my...
Source: DEV Community
ModelsOrdinary
https://x.com/MistralAI/status/2107467399150903714
Source: X:Mistral AI (@MistralAI) · Mistral
TutorialsOrdinary
MCP Connected Your Tools. It Didn't Fix Your Agent's Memory.
Model Context Protocol standardized how agents reach tools. It was never designed to answer what an...
Source: DEV Community