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

V
Vulnerabilities – Threatpost
T
The Blog of Author Tim Ferriss
S
SegmentFault 最新的问题
D
DataBreaches.Net
博客园_首页
罗磊的独立博客
B
Blog
T
Threat Research - Cisco Blogs
C
Cisco Blogs
GbyAI
GbyAI
Engineering at Meta
Engineering at Meta
WordPress大学
WordPress大学
G
GRAHAM CLULEY
H
Help Net Security
酷 壳 – CoolShell
酷 壳 – CoolShell
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
爱范儿
爱范儿
SecWiki News
SecWiki News
T
Threatpost
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Schneier on Security
Schneier on Security
T
The Exploit Database - CXSecurity.com
Google Online Security Blog
Google Online Security Blog
T
Tor Project blog
小众软件
小众软件
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
Y
Y Combinator Blog
H
Hacker News: Front Page
V
V2EX
Security Latest
Security Latest
Cloudbric
Cloudbric
Simon Willison's Weblog
Simon Willison's Weblog
Attack and Defense Labs
Attack and Defense Labs
D
Darknet – Hacking Tools, Hacker News & Cyber Security
P
Proofpoint News Feed
博客园 - 三生石上(FineUI控件)
NISL@THU
NISL@THU
S
Secure Thoughts
Blog — PlanetScale
Blog — PlanetScale
博客园 - 司徒正美
V2EX - 技术
V2EX - 技术
Vercel News
Vercel News
P
Palo Alto Networks Blog
IT之家
IT之家
MyScale Blog
MyScale Blog
有赞技术团队
有赞技术团队
Application and Cybersecurity Blog
Application and Cybersecurity Blog
D
Docker
Google DeepMind News
Google DeepMind News
Webroot Blog
Webroot Blog

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
regenold | EU AI Act Q&A Benchmark Competition
marco_virgol · 2026-05-19 · via Hacker News - Newest: "AI"

Live competition · May to June 2026

An independent benchmark for purpose-built AI systems answering questions on Regulation (EU) 2024/1689.

Regulatory workflows have near-zero margin for error. Yet rigorous, agentic evaluations remain scarce in the field. We built the first Q&A evaluation competition focused on the EU AI Act so that the systems claiming to handle it can be tested against ground truth, by an independent third party, on the dimensions that matter for regulated use.

Off-the-Shelf AI Isn't Audit-Ready for Regulation

We see the potential of AI in regulatory workflows. We also see the practical gap between promising answers and audit-ready reliability. We've been measuring it.

Finding

1 in 3

Even the best-performing search-enabled systems give factually incorrect answers or cite the wrong references roughly one out of three times when tested on the EU AI Act.

W&B Weave report, March 2026 →

Observation

Purpose-built

Generic agents are not enough for regulated work. Purpose-built systems are necessary. So are rigorous evaluations that ensure those systems are fit for purpose, and remain so over time.

The EU AI Act Q&A Competition serves as the next step: advancing the evaluation of purpose-built regulatory AI systems.

For the broader regulatory context and how this translates into implementation work, see AI in Regulated Life Science and our AI Governance & Compliance service.

Five Dimensions

To reflect how regulatory AI is used in practice, where more aspects than just answer correctness matter, the competition is multi-dimensional. Every submission is scored against question-specific ground truth across five dimensions. Furthermore, the evaluation is repeated when considering a simulated multi-turn conversation, to reflect how these systems are used in practice.

  • Answer Correctness
    Tested against question-specific ground-truth correctness criteria. Variants: strict and loose.

  • Reference Accuracy
    Proposed references checked against expected ones. Variants: strict and loose.

  • Conciseness
    Answer and reference-set lengths assessed against benchmark exemplars.

  • Tone
    Assessment of clarity and appropriateness of the language for regulatory contexts.

  • Latency
    Time from prompt submission to response measured per question.

Illustrative visualization of results for one multi-turn configuration (e.g. on/off). Contestant names are invented.

Independent Assessment Plus Reach

Participants receive an individual benchmark report and may be included in public summary materials after the opt-out period.

💡 Independent evaluation

A best-effort, automated assessment grounded in question-specific correctness checks and reference verification.

📊 Individual report

A dedicated report for your system, with scoring across every benchmark dimension and comparisons against off-the-shelf reference methods.

🌎 Public visibility

Your system is featured in regenold's downstream publications: articles, web content, and social posts after the opt-out window.

Opt-out option. Not happy with your individual report? You can opt out in writing within 10 working days from when results are communicated - your entry is then anonymized in our use of the results.

Three Steps to Your Benchmark

Participation is free and open to anyone willing to test their AI system on the EU AI Act.

1

Get in touch

Send your endpoint details and participant information to our technical contact. We confirm onboarding and reserve your benchmark slot.

2

We run the evaluation

We send conversation histories to your API and collect the JSON responses. Latency and multi-turn behaviour are measured automatically.

3

You receive your report

Your individual report shows performance across all dimensions, alongside reference benchmarks from popular off-the-shelf methods.

What Your System Needs to Provide

Your system needs to expose an API that accepts a conversation history and returns a single JSON response. The format follows the OpenAI/LiteLLM message convention.

# JSON with OpenAI/LiteLLM message format
[
  {"role": "user", "content": "..."},
  {"role": "assistant", "content": "..."},
  ...,
  {"role": "user", "content": "..."}
]
# JSON with three fields
{
  "reasoning": "Optional. Not scored.",
  "answer": "Short, professional answer.",
  "references": [
    "Annex IV.2",
    "Article 3.1"
  ]
}

Frequently Asked Questions (FAQ)

Who can participate?

Anyone willing to test their AI system on EU AI Act questions. Participation is free of charge. Each contestant can submit one entry per edition.

Does my system need to be a "regulatory AI" specifically?

No. Any conversational AI system that exposes an API and returns the required JSON format can participate. The benchmark itself is purpose-built for the EU AI Act, but contestants range from off-the-shelf systems to fully purpose-built regulatory tools.

What does regenold do with the results?

After the 10-working-day opt-out window, we publish the results of this edition in articles, web content, and social posts. The published material includes the performance of all contestants (anonymized where opt-out applies). We also intend to use the results as a seed for a future live benchmark with rolling submissions.

What's the difference between the strict and loose scoring variants?

Strict scoring requires all ground-truth elements to be present and correct. Loose scoring accepts answers and references that are partially correct or that include the right elements with some additional content. Reporting both variants gives a clearer picture of where a system holds up under tighter assessment criteria.

How is the AI Act version handled?

All questions pertain to Regulation (EU) 2024/1689 dated 13 June 2024. Subsequent amendments and delegated acts are out of scope for this edition.

Will there be a live benchmark after this edition?

Yes, that's the plan. The competition results will seed a live benchmark with rolling submissions, similar to how state-of-the-art LLM and agent benchmarks operate. Contestants will be able to submit updated systems at any time, and we'd welcome ongoing participation.

This Is Where We're Starting

The EU AI Act is the first benchmark we're publishing. The same approach (ground-truth questions, multi-dimensional scoring, independent evaluation) applies to any regulatory or quality framework that AI systems are expected to handle reliably.

Public benchmarks

Which framework should we benchmark next?

We're considering future editions on Clinical Trial Regulation (EU) 536/2014, MDR, IVDR, ICH guidelines, GMP, GVP, and others. If there's a framework where you'd want to see your AI system independently benchmarked, tell us. Suggestions shape what we run next.

Suggest a benchmark

Customised evaluations

Or have us evaluate against your own standards

For companies deploying AI in regulated workflows, the relevant benchmark often isn't a public regulation. It's your internal standards, your SOPs, your validation criteria. We design custom evaluations that test AI systems against the specific requirements that matter to your organisation. This sits within our broader AI Governance & Compliance service, alongside risk classification, vendor qualification, validation, and inspection readiness.

Explore AI Governance & Compliance

Send us your endpoint details and reserve your benchmark slot.

The competition runs through May and June 2026. We walk you through onboarding and run the evaluation.