AI Intelligence Archive
浏览 AIQB 已保存的 9756 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
Indexed articles9756
Categories6
Selected stories2
All articles
Section 101 / 244 页 · 每页 40 stories
TutorialsOrdinary
Release Pin: Ship the Model, Prompt, and Tools as One Version
Agents drift when the model alias updates, a prompt gets edited in a dashboard, or a tool schema changes underneath them. Ship all of it as one versioned manifest.
Source: DEV Community
TutorialsOrdinary
Surviving the 200k-Token Lobotomy: How Unix init.d and 'Memento' Made My AI Coding Agent Immune to Context Compaction
Why host auto-compaction silently lobotomizes long-running AI coding sessions, and how 1983 SysV init.d runlevel files, Memento tattoos, and fork/wait subagents let our orchestrator survive two 230k-token compactions mid-ticket with zero l…
Source: DEV Community
TutorialsOrdinary
I made my Claude Code sessions watchable in 30 seconds
My Claude Code and Codex sessions often run 30 to 60 minutes, and there's no good way to show someone...
Source: DEV Community · Claude
TutorialsOrdinary
One Design Review Skill for Claude Code, Codex, and agy
I put design direction and review for blog pages, app UI and Shorts into one skill that Claude Code, Codex and agy load from the same directory on my machine. The checks prove installation and explicit invocation on synthetic cases, not de…
Source: DEV Community · Claude
TutorialsOrdinary
Anthropic Commits to Regular Model Behavior Reports Beyond System Cards
Anthropic has committed to publishing regular reports on what it learns about model behavior and...
Source: DEV Community · Claude
TutorialsOrdinary
The Epistemology of Quality
How do we know code is correct, and what role does human code review play in knowing it?
Source: DEV Community
TutorialsOrdinary
The NUMMI Blueprint for AI: Why Code Velocity Needs the Andon Cord
I first heard about NUMMI years ago on an episode of This American Life. Toyota took over one of...
Source: DEV Community
TutorialsOrdinary
Your Agent Is Fixing Flaky Tests by Quietly Weakening Them
AI coding agents reliably turn flaky tests into weak assertions. The failure isn't the flake; it's that nobody reviews the diff that deletes the boundary.
Source: DEV Community
TutorialsOrdinary
The AI Memo Went Out. Then What?
In April 2025, Shopify CEO Tobi Lütke posted an internal memo publicly. The line everyone quoted:...
Source: DEV Community
TutorialsOrdinary
One park, one sheet of paper: Gemma 4 writes a treasure hunt from the park's real data.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
ProductsOrdinary
Luma 推出 Product Shots 功能
在 Luma 中试试 Product Shots - https://app.lumalabs.ai/solutions/product-shots?utm_source=tiktok&utm_medium=p-social&utm_campaign=q4-social&utm_content=productshots&utm_aud=plg
Source: X:Luma AI (@LumaLabsAI)
TutorialsOrdinary
Where the spending rules live: agent authorization on AWS vs Sui
Where the spending rules live: agent authorization on AWS vs Sui A bot that can pay you...
Source: DEV Community
TutorialsOrdinary
Building Screen Automation Agents: Vision, Grounding, and Reliable UI Control
Anthropic's Claude computer use API, released in October 2024, takes a screenshot, decides where to...
Source: DEV Community · Claude
TutorialsOrdinary
LeafPace - Touch grass
LeafPace 🍃 This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1:...
Source: DEV Community
TutorialsOrdinary
Does Your LLM Know the Boundary? I Left the Doors Open and 6 of 10 AI Agents Crowned Themselves
I put ten AI agents on trial inside a fake company, hid the rules where real rules live, and let the...
Source: DEV Community
TutorialsOrdinary
It scored 100%. Its note scored 0%
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked I kept...
Source: DEV Community
PerspectivesOrdinary
https://openrouter.ai/apps/codex
https://openrouter.ai/apps/codex
Source: X:OpenRouter (@OpenRouter)
TutorialsOrdinary
Lake Lookout: Be the Eyes the Satellites Lack (Gemma 4, fully offline)
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass TL;DR: Lake...
Source: DEV Community
TutorialsOrdinary
Congrats to Our First MLH x DEV Writing Challenge Winner!
We just wrapped the very first month of the MLH x DEV Writing Challenge, our new way of celebrating...
Source: DEV Community
TutorialsOrdinary
Singularity News
Welcome to Singularity News ... until ... well, we all know when! This is the first community-based...
Source: DEV Community
TutorialsOrdinary
Side Quest: A Local AI Game Master That Sends You Outside
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
TutorialsOrdinary
Closing the Audit Gap in Human-to-Agent Delegation
When AI agents act on behalf of users, traditional audit logs often don't tell the full story of who...
Source: DEV Community
TutorialsOrdinary
The Stack I'd Need for Claude to Direct a Whole YouTube Video in Blender
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...
Source: DEV Community · Claude
TutorialsOrdinary
Tabs to Trails: My Unread Tabs Became Walks, Made on My Own Laptop
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...
Source: DEV Community
ResearchOrdinary
Can Language Models Play the Wikipedia Game?
Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requires specialist linguistic or scientific knowledge. We used the Wikipedia Game to test …
Source: arXiv · GPT / DeepSeek
ResearchOrdinary
Hide and Seek: HIDE Concepts to SEEK explanations for black box models
Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods interpret models using human-understandable concepts. Existing concept-based methods can on…
Source: arXiv
TutorialsOrdinary
AI Can Generate Paragraphs. But What If You Just Need a Decision? Meet Jev
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Source: DEV Community
ResearchOrdinary
Constructive Bounds for the Topological Expressivity of Neural Networks
The expressivity of a neural network $Φ$ describes the class of functions that a network can express. The term topological expressivity refers to a family of measures particularly suited to understand binary classification and is often for…
Source: arXiv
ResearchOrdinary
AI Models Can Provably Hide Arbitrary Capabilities
Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. We show this assumption does not hold under adversarial conditions…
Source: arXiv
TutorialsOrdinary
KEMT: Benchmarking AI Translation Across Five Kenyan Languages
This is a submission for the Kaggle Benchmarking Challenge. This would probably needs its own...
Source: DEV Community
ResearchOrdinary
KL Before and After Mixing: A Round-Complexity Separation in Parallel Sampling
A parallel sampler can choose at random which coordinates to generate together. For a target $p$ and the output law $q_U$ of a schedule $U$ drawn afresh for each output, we compare the schedule-averaged divergence $\mathbb{E}_U D_{\mathrm{…
Source: arXiv
ResearchOrdinary
Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning
Deep-space communications operate under intermittent connectivity, long propagation delays, and relay storage constraints. In such networks, the Bundle Protocol enables store-carry-forward communication, requiring relay nodes to manage lim…
Source: arXiv
ResearchOrdinary
DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness
Clinical sleep medicine repeatedly documents profound divergences between objective sleep duration and subjective daytime impairment, notably exemplified by sleep state misperception in paradoxical insomnia and boundary instability in narc…
Source: arXiv
ResearchOrdinary
Designing Protein Structures from Natural Language
A central challenge in de novo protein design is generating proteins with desired structural and functional properties. Existing design models typically require a dedicated input representation for each property, limiting the design object…
Source: arXiv
TutorialsOrdinary
Multi-Reward RL, Part 3: GDPO + CISPO + REPO-R at 27B, and the Advantage Floor That Stopped Learning
Qwen3.8-27B, 600 steps, 12 reward channels: CISPO, REPO-R and prompt filtering lifted holdout from −0.47 to +1.80, and an advantage floor silently zeroed 96% of the signal.
Source: DEV Community · Qwen
ResearchOrdinary
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
Recursive self-improvement (RSI) aims to transform interaction experience into persistent improvements, yet external feedback is costly and world-model predictions may become unreliable as policies evolve. We introduce RSI-Anything, a doma…
Source: arXiv
ResearchOrdinary
When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical Priors
Vision-Language Models (VLMs) increasingly analyze and reason about images, yet it remains unclear whether their internal representations faithfully encode the structured relations required for such reasoning. We introduce EICS (Evaluation…
Source: arXiv
ResearchOrdinary
Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping
While deep learning models for tabular data have recently received significant research attention, the choice of objective functions for regression tasks remains an understudied degree of freedom. Several lines of research offer alternativ…
Source: arXiv
ResearchOrdinary
Hitting-Time Bounds for Asynchronous Q-Learning
We study the last iterate of standard asynchronous Q-learning from a single trajectory of a finite Markov decision process. The trajectory follows a fixed behavior policy whose state--action chain is irreducible and may be periodic. For di…
Source: arXiv
ResearchOrdinary
Structural Automata for Neural Semantic Parsing
Neural semantic parsers generate meaning representations token by token, yet well-formedness depends on references, scope, and graph relations that unfold during generation. Constrained decoding prevents locally invalid tokens but does not…
Source: arXiv