惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Project Zero
Project Zero
Security Latest
Security Latest
G
GRAHAM CLULEY
C
CXSECURITY Database RSS Feed - CXSecurity.com
云风的 BLOG
云风的 BLOG
月光博客
月光博客
V
Visual Studio Blog
C
Cyber Attacks, Cyber Crime and Cyber Security
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
宝玉的分享
宝玉的分享
阮一峰的网络日志
阮一峰的网络日志
雷峰网
雷峰网
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
爱范儿
爱范儿
Attack and Defense Labs
Attack and Defense Labs
罗磊的独立博客
D
DataBreaches.Net
TaoSecurity Blog
TaoSecurity Blog
T
Threatpost
S
Secure Thoughts
T
The Exploit Database - CXSecurity.com
P
Palo Alto Networks Blog
Cisco Talos Blog
Cisco Talos Blog
Google Online Security Blog
Google Online Security Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 聂微东
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
NISL@THU
NISL@THU
Spread Privacy
Spread Privacy
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
PCI Perspectives
PCI Perspectives
P
Proofpoint News Feed
Google DeepMind News
Google DeepMind News
V
V2EX
WordPress大学
WordPress大学
Recorded Future
Recorded Future
Stack Overflow Blog
Stack Overflow Blog
AI
AI
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The GitHub Blog
The GitHub Blog
T
The Blog of Author Tim Ferriss
D
Docker
Latest news
Latest news
C
CERT Recently Published Vulnerability Notes
D
Darknet – Hacking Tools, Hacker News & Cyber Security
B
Blog RSS Feed
V2EX - 技术
V2EX - 技术
小众软件
小众软件
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
GitHub - AssimilatedHuman/LLM-Inquisitor: Evaluating AI behaviour under real‑world work conditions to surface issues before they become problems. LLM INQUISITOR identifies failures (drift, instability etc) by observing AI during normal tasks — a tool the industry desperately needs to stem the 85% failure rate. Includes Quick Start, Practitioner’s Guide and Methodology.
ballista2026 · 2026-05-20 · via Hacker News - Newest: "AI"

LLM INQUISITOR — GitHub Edition The Behavioural Evaluation Standard for Real‑World AI LLM INQUISITOR is a practical, workflow‑driven methodology for evaluating how AI systems behave when they’re actually used — not when they’re demoed, benchmarked, or prompt‑engineered.

If you want to know whether an AI is stable, reliable, predictable, and safe in real work, INQUISITOR is the tool.

Why INQUISITOR Exists AI doesn’t fail in benchmarks. It fails in:

developer workflows

document editing

analysis tasks

coding sessions

customer‑facing interactions

That’s where drift, collapse, contradiction, contamination, and instability actually matter.

INQUISITOR reveals that behaviour using normal work, not adversarial tricks.

What INQUISITOR Gives You A repeatable way to evaluate AI behaviour

A shared vocabulary for describing failures and instabilities

A lightweight workflow for everyday testing

A formal methodology for audit, governance, and reproducibility

A developer‑friendly approach that fits into real tasks, not lab conditions

INQUISITOR is built for people who need AI to behave predictably inside real systems, real teams, and real workflows.

Who INQUISITOR Is For Developers integrating AI into products

Engineers needing predictable behaviour

Analysts working with structured tasks

Researchers validating model behaviour

Product teams assessing reliability

Governance & risk functions needing evidence

Anyone using AI in real workflows

You don’t need expertise. You don’t need special prompts. You don’t need to run every test surface.

You only need to work normally and observe honestly.

What’s Included in This Repository Quick Start Guide
A five‑minute behavioural check. Perfect for fast evaluation.

Practitioner’s Guide
The everyday operational guide. Use this for real‑world testing.

Methodology (GitHub Edition)
The structured, formal framework for reproducible behavioural evaluation.

Licence
Defines usage and redistribution rights for this edition.

This repository uses a custom proprietary licence, not MIT or any standard open‑source licence.

How to Use INQUISITOR Run the Quick Start to get a behavioural snapshot.

Use the Practitioner’s Guide for real‑world evaluation.

Apply the Methodology when you need structure, evidence, or audit‑grade documentation.

Follow the Licence for redistribution rules.

INQUISITOR scales from lightweight to formal depending on your needs.

Edition Notes This is the GitHub Edition:

free to share

free to redistribute

free for personal or team use

not permitted for commercial use without permission

Future editions may include:

Enterprise Edition

Full Methodology Edition

Audit & Compliance Edition

Contact For commercial licensing or permissions, contact the author directly.