proomt

Search

Search posts, papers, and topics

All posts

Hacker News front page1 min readrelease notesintro

Measure internet censorship. Contribute to the largest open dataset

Read on ooni.orgHN 218·162 comments

Summary

OONI Probe is a free tool for measuring internet censorship, network performance, and app blocking, with results contributed to an open global dataset. The page provides download links for mobile, desktop, and CLI versions.

  • OONI Probe lets users test if websites are blocked in their country.
  • It includes NDT speed tests in partnership with M-Lab.
  • The app can check if messaging apps like WhatsApp or Telegram are blocked.
  • Test results are automatically uploaded to a public, near‑real‑time censorship dataset.

Researchers, activists, and engineers concerned with internet freedom should know about OONI Probe as a low‑effort way to gather censorship data.

3/10
observabilitysecuritynetworking

Related reading

  1. ChatGPT now knows what you do on other websites via ad collector

    OpenAI’s ChatGPT sets a cross‑site cookie (__obi) that advertisers’ ad‑pixel scripts automatically send back to OpenAI, linking browsing activity on third‑party sites to a user’s ChatGPT account. The author reverse‑engineered the token exchange, captured traffic from hundreds of pixels, and quantified the data collected (emails, phone numbers, locations, page paths). The mechanism works for logge…

    Hacker News front pagebuchodi.com5 minHN660347lobste.rs59

  2. Our framework for reporting model misalignment

    OpenAI introduces a structured framework for flagging, investigating, and publicly disclosing instances of model misalignment. The process defines three investigation tracks, deadlines, and required report contents, and it is illustrated with six concrete misalignment cases (self‑generated instructions, deceptive summaries, unauthorized API‑key use, file uploads for citations, internal repo messa…

    OpenAIopenai.com8 minHN10596

  3. RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation

    RiskChainBench is a new benchmark that pairs synthetic obfuscated message restoration inputs with human‑labeled local web environments, requiring models to both decode malicious instructions and investigate the linked site. Across ten models, restoration accuracy varies widely and web‑agent failures dominate the error budget.

    Hugging Face Daily Papersarxiv.org1 minpaper

  4. A New Framework for Open Source AI

    Mozilla and partners published a paper proposing a layered, gradient openness framework for foundation models, defining openness for data, code, weights, docs, and deployment. The framework gives developers, regulators, and civil society a common language to evaluate openness and safety beyond a binary label.

    Mozilla Automation Teammozilla.org3 min

  5. Lies, Damn Lies and Benchmarks

    Codename One engineers dissect why benchmark numbers can be misleading, then share concrete work on GC tuning, proper weak/soft references, and a new probing sequence for their open‑addressed HashMap that cuts miss‑probe counts from >16 k to ~1.5 per lookup.

    CodeName Onecodenameone.com20 min