AI Intelligence Archive
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ResearchOrdinary
From Memory Hits to Answerable Evidence: Query-Conditioned Memory Compilation for Long-Term Agent Memory
Long-term agent memory requires recovering answer-relevant evidence dispersed across turns and sessions. Existing systems increasingly use structured memories and adaptive retrieval, yet often pass retrieved or expanded units directly to t…
Source: arXiv
ResearchOrdinary
Self-Reflective Chain-of-Thought (SRCoT): Evidence-Based Text Generation via a Closed-Loop Retrieve--Reflect--Revise Pipeline on Edge LLMs
Large language models (LLMs) can generate fluent outputs that lack source support or conflict with local operational constraints. We introduce Self-Reflective Chain-of-Thought (SRCoT), a modular architecture that organizes generation as a …
Source: arXiv
ResearchOrdinary
Inferring L1 Backgrounds from L2 English with LLM Token Probabilities
Native language identification (NLI) infers a non-native speaker's first language (L1) from their second language (L2) production. We investigate a token probability approach that scores each text sample as a continuation of a prompt prefi…
Source: arXiv · Llama
ResearchOrdinary
MobileInject: Evaluating Reasoning-to-Action Security of MLLM-Based Mobile Agents under Cross-Modal Consistency Injection
Multimodal large language model (MLLM)-based mobile agents are rapidly evolving from conversational assistants into autonomous systems that perceive, reason over, and act on smartphone environments. This capability also exposes a new secur…
Source: arXiv
ResearchOrdinary
SimOPD: Relational Knowledge Transfer for On-Policy Distillation
A key challenge in on-policy distillation (OPD) is extracting effective supervision from teacher knowledge. Supervision from token probabilities may underutilize internal knowledge, while direct hidden-state matching forces the student to …
Source: arXiv
ResearchOrdinary
Designing for Imperfect Prompts: A Simulation-Based Evaluation of an LLM-Based Enterprise Data Assistant Using Knowledge Graphs
Enterprise data assistants using large language models (LLMs) promise democratized data access in organizations. Yet in our real-world deployment within the CFO unit's data lake at an industry partner, we observed that business users frequ…
Source: arXiv
ResearchOrdinary
Look, Reason, Draw a Region: Recursive Refinement for Spatial Context Prediction
Spatial context prediction requires visual grounding and spatial reasoning to identify vacant regions relative to objects in a scene. Spatial relationships and physical constraints remain challenging for large vision-language models (VLMs)…
Source: arXiv
TutorialsOrdinary
I Hid 40 Bugs in an Online Store and Let an AI Play QA Tester
Every team I've worked with has shipped something that passed its automated checks but still confused...
Source: DEV Community
ResearchOrdinary
Optimist Deep Research: An Iterative, State-Centric Agent for Autonomous Literature Research
Most retrieval-augmented systems treat literature search as a single retrieval step followed by summarization. Real literature research works differently: the investigator's understanding of the question changes as they read, new subquesti…
Source: arXiv
ResearchOrdinary
How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning
Isogai's case A, a pitch-plunge aerofoil whose elastic axis lies half a chord ahead of the leading edge, has a folded transonic flutter boundary in inviscid flow: near the bottom of the transonic dip several flutter speeds coexist at one M…
Source: arXiv
ResearchOrdinary
FlashReFocus: Interactive Image Refocusing in Seconds
Single-image refocusing changes the focal plane and depth of field of a photograph after capture. It is inherently interactive: users try many focal points and blur strengths on one image, so each edit should be fast and change only the bl…
Source: arXiv
TutorialsOrdinary
The Hardest Thing an AI Agent Has to Learn Is When to Stop
Not how to do more. How to know when doing more is the wrong move. A conversation about autonomous...
Source: DEV Community
TutorialsOrdinary
A Star Is Vanity. This One Wasn't.
I messaged the founder of Ponytail, and he starred my repo and gave me a product idea. Why that beat every metric I've ever checked.
Source: DEV Community
TutorialsOrdinary
A memory benchmark draft with 17 axes and no headline number: is it worth running?
I work at a company that builds memory infrastructure, so I'm biased: we compete in the thing this...
Source: DEV Community
TutorialsOrdinary
How I built at-most-once sends for my AI companion's ChatGPT tab: a durable send ledger, and receipts that survive a crash
How I built at-most-once sends for my AI companion's ChatGPT tab: a durable send ledger, and...
Source: DEV Community · ChatGPT
TutorialsOrdinary
The Claude Code Desktop Vulnerability That Beat Three Layers of Sandboxing
A Claude Code Desktop vulnerability called SneakPeek let a poisoned HTML file steal AWS, GitHub, and SSH credentials with no click. Here is what we checked.
Source: DEV Community · Claude
TutorialsOrdinary
Zubaan: I dubbed my English Shorts into Hinglish (same face, same voice) with open models
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
The world's corner shops still run on a credit notebook. I gave it Gemma, TabPFN and no internet.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle The...
Source: DEV Community
TutorialsOrdinary
I Heard AI Could Build Its Own UI, So I Tried Open Intelligent UI
Artificial intelligence has changed the way by which developers are making applications, which range...
Source: DEV Community
TutorialsOrdinary
Anyone can claim to be an up-and-coming AI engineer. Here are my receipts instead.
A career changer's first year of building in public: production-run n8n templates, an LLM-scored job engine, tested ETL, and a live demo.
Source: DEV Community
TutorialsOrdinary
Why We Kept Ternary Bonsai 2 27B After Testing the Faster 9B
October 16, 2026 Our production classifier runs on a single RTX 2080 Ti with 11 GB of VRAM. It is...
Source: DEV Community
TutorialsOrdinary
AI Agent Identity: Who Acted, and Under Whose Authority?
Suppose you tell an agent: move Acme to At Risk, create a task for the account owner, and prepare a...
Source: DEV Community
TutorialsOrdinary
A CRM where the AI never leaves your laptop
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
Building Fuenzer Sports: An AI Tournament Prediction Side Hustle Powered by Open-Weight Models
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
FlipCraft AI: Turning Thrift Finds into a Profitable Side Hustle with Local Gemma 2 Open-Weight AI
FlipCraft AI: A local-first reseller listing copilot and profit engine powered by Google Gemma 2 for the Hacktoberfest Week 2 Side Hustle Challenge.
Source: DEV Community
TutorialsOrdinary
Honest question: at this price and performance, would you use this memory API?
I work at Wontopos, so I'm biased. About three months ago we launched a long-term memory API for AI...
Source: DEV Community
TutorialsOrdinary
Memory, blast radius, and a guard: three local tools for AI coding agents
I spend most of my day with an AI coding agent open: Claude Code, Codex, Cursor, depending on the...
Source: DEV Community · Claude / Cursor
TutorialsOrdinary
SAATHI AI: What If We Could Recognize the Warning Signs Before It's Too Late?
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle SAATHI AI:...
Source: DEV Community
TutorialsOrdinary
Why Developers Building AI Products Need to Understand the AI Race
You can build AI applications without following the AI race. But if you want to build products that...
Source: DEV Community
TutorialsOrdinary
Update2Report: turning messy Friday updates into a client-ready weekly report with an open-weight model
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 2 (Side Hustle). ...
Source: DEV Community
TutorialsOrdinary
AI-generated content gets cited more than human content in Google AI Overviews. That should bother you." published: false
A peer-reviewed paper published in the Proceedings of Machine Learning Research (volume 318, Canadian...
Source: DEV Community
TutorialsOrdinary
A 4B model on my computer drafts freelance quotes. I tested it on 8 real client briefs.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
What I Look for Before Trusting an AI App Builder With a Real Project
AI app builders can now generate a working database, authentication flow, and deployed URL from a...
Source: DEV Community
TutorialsOrdinary
InvoicePilot AI: Smarter Invoice Automation with TEv1 and MCP
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
Claude Code Git Integration in 2026: How the Agent Reads Diffs, Stages Hunks, and Decides When to Commit
Most AI coding assistants treat Git as an afterthought. Claude Code reads diffs natively, stages hunks interactively, and decides when to commit based on semantic scope. Learn the patterns that make version control safe with an autonomous …
Source: DEV Community · Claude
TutorialsOrdinary
Building ora-tui with Google Antigravity & Gemini 4 Argon: An MS-DOS Retro TUI & OpenTelemetry Exporter for Oracle RAC, DB & SAN Multipath
How I pair-programmed with Google Antigravity powered by Gemini 4 Argon to build a zero-dependency Go TUI and OpenTelemetry/Prometheus observability stack for Oracle Databases and Linux SAN storage.
Source: DEV Community · Gemini
TutorialsOrdinary
AI Models Can Learn from Data. But What Can They Learn from Other Models?
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Source: DEV Community
TutorialsOrdinary
The SEO Score Trap: How to Prove Search Visibility in the Age of AI Answers
A practical, evidence-first guide to technical SEO, AEO, and GEO. Learn how to diagnose real issues, measure AI search visibility, and verify whether your optimizations actually work.
Source: DEV Community
PerspectivesOrdinary
Hao AI Lab 发布 ORA 博客与代码
博客:https://haoailab.com/blogs/ora 代码:https://github.com/hao-ai-lab/ORA 作者:Yuanbo @YuanboYang60742、Siyi Chen @SiyiChen277112、Jun Gao @JunGao33210520 和 Hao Zhang @haozhangml。
Source: X:UCSD Hao AI Lab (@haoailab)
TutorialsOrdinary
What I Actually Learn When I Build With AI
I've spent entire nights building something with AI, gotten a bunch of features working, and then...
Source: DEV Community