# online privacy Protection and management of personal information and privacy risks in internet-connected systems and online services. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How to opt out of AI chatbot training DevFeed: [How to opt out of AI chatbot training]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-15T15:41:44Z Content type: tutorial Language: en Sources: [Malwarebytes]() Topics: [ChatGPT](), [OpenAI](), [online privacy](), [Artificial Intelligence]() Tags: [ai](), [anthropic](), [chatgpt](), [how-to](), [human-review](), [news](), [openai](), [perplexity](), [privacy](), [privacy-filter]() ### AI overview This tutorial explains how to turn off ChatGPT's "Improve the model for everyone" setting to opt out of using chats for model improvement. It also notes that authorized personnel and trusted service providers may still access content for safety, support, troubleshooting, security, abuse investigations, or legal matters. ### Source excerpt ChatGPT contractors are reviewing real users' conversations. Here's how to stop AI companies using your chats for model training. ## Grindr settles HIV status data-sharing lawsuit for $35 million DevFeed: [Grindr settles HIV status data-sharing lawsuit for $35 million]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-08T12:51:14Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [online privacy](), [App](), [SDKs]() Tags: [advertising](), [grindr](), [lawsuit](), [news](), [norway](), [privacy](), [sdks](), [uk-lawsuit]() ### AI overview Grindr reportedly agreed to settle a UK lawsuit alleging that it shared sensitive user data, including HIV-status information, with advertisers. The article explains privacy risks from advertising identifiers, analytics, SDKs, and other third-party app integrations. ### Source excerpt Grindr has settled a UK lawsuit alleging that it shared sensitive user data, including HIV status, with advertising companies. ## Making our web analytics open source with Plausible DevFeed: [Making our web analytics open source with Plausible]() Original publisher: [Read original article]() Author: Darren Griffin Published: 2026-07-30T00:00:00Z Content type: article Language: en Sources: [ESPHome - Smart Home Made Simple - Blog]() Topics: [online privacy](), [Web](), [Website](), [Open Source](), [hosting]() Tags: [analytics](), [announcements](), [hosting](), [open-source](), [privacy](), [web]() ### AI overview The Open Home Foundation explains its plan to use Plausible for aggregated, anonymized analytics on its websites. The approach avoids persistent identifiers, cross-site tracking, and cookies, provides a public dashboard, and is hosted on infrastructure maintained in-house. ### Source excerpt The Open Home Foundation fights for privacy, choice, and sustainability. These principles are at the heart of everything we do, including how we handle website analytics. Our position is clear: we reject tools that track individuals across the web to monetize their data. Instead, we want aggregated, anonymized analytics that show how our websites are performing overall -- without identifying who our visitors are, or compromising their privacy. ## Making our web analytics open source with Plausible DevFeed: [Making our web analytics open source with Plausible]() Original publisher: [Read original article]() Author: Darren Griffin Published: 2026-07-29T00:00:01Z Content type: article Language: en Sources: [Home Assistant]() Topics: [Web](), [online privacy](), [Open Source](), [hosting]() Tags: [analytics](), [hosting](), [infrastructure](), [open-source](), [privacy](), [web]() ### AI overview The Open Home Foundation explains its plan to use Plausible for privacy-focused web analytics. The approach collects aggregated and anonymized website statistics, avoids individual tracking and cookies, publishes the analytics dashboard, and hosts the system on infrastructure maintained in-house. ### Source excerpt The Open Home Foundation fights for privacy, choice, and sustainability. These principles are at the heart of everything we do, including how we handle website analytics. Our position is clear: we reject tools that track individuals across the web to monetize their data. Instead, we want aggregated, anonymized analytics that show how our websites are performing overall -- without identifying who our visitors are, or compromising their privacy. ## What to consider before asking an AI chatbot for health advice DevFeed: [What to consider before asking an AI chatbot for health advice]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2026-05-27T08:50:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Artificial Intelligence](), [Chat Bot](), [Generative AI](), [online privacy](), [Security](), [Large Language Model](), [ChatGPT](), [Microsoft](), [amazon]() Tags: [ai](), [amazon](), [chatgpt](), [data](), [genai](), [generative-ai](), [hallucinations](), [llm](), [llms](), [microsoft](), [privacy](), [security]() ### AI overview This article examines the risks of using AI chatbots for health advice, including hallucinations, inconsistent answers, incorrect guidance, and exposure of sensitive personal information. It explains why people turn to chatbots for medical questions and why these tools should not replace physicians. ### Source excerpt Using chatbots for medical advice could elicit hallucinations and even expose you to security and privacy risks. Here's what's at stake and how to stay safe. ## How ChatGPT learns about the world while protecting privacy DevFeed: [How ChatGPT learns about the world while protecting privacy]() Original publisher: [Read original article]() Published: 2026-05-06T08:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [privacy-filter](), [online privacy](), [AI Models](), [data](), [OpenAI]() Tags: [ai](), [ai-models](), [blog](), [chatgpt](), [data](), [developers](), [general](), [global-affairs](), [privacy](), [privacy-filter]() ### AI overview OpenAI explains how ChatGPT training uses publicly available information, partnerships, and user-provided or generated data while applying safeguards to reduce personal information. The article also describes user controls over whether conversations contribute to improving future models. ### Source excerpt Learn how ChatGPT safeguards your privacy, reduces personal data in training, and gives you control over whether your conversations improve AI models. ## Vercel Open Source Program: Winter 2026 cohort DevFeed: [Vercel Open Source Program: Winter 2026 cohort]() Original publisher: [Read original article]() Author: Alli Pope Published: 2026-03-17T13:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Open Source](), [Vercel](), [online privacy](), [OpenAPI Specification](), [React](), [React Native](), [Shadcn UI](), [Web](), [Android](), [Canvas](), [Framer Motion](), [Large Language Model]() Tags: [2025](), [agents](), [ai](), [ai-agents](), [android](), [browser](), [components](), [framer](), [hub](), [llm](), [online-privacy](), [open-source](), [openapi](), [react-native](), [scale](), [svelte](), [vercel](), [vue]() ### AI overview Vercel introduces the winter 2026 cohort of its Open Source Program, highlighting projects that receive resources, credits, and support. The cohort includes tools and projects spanning AI-native applications, developer infrastructure, design systems, creative tooling, privacy, Android connectivity, and web development. ### Source excerpt In April, we launched the Vercel Open Source Program to give maintainers the resources, credits, and support they need to ship faster and scale confidently. The first group joined through our spring 2025 cohort. Today we are welcoming the winter 2026 cohort. From AI-native apps and developer infrastructure to design systems and creative tooling, open source builders continue to amaze us. Meet the creators and explore their projects. Winter 2026 Cohort Answer Overflow Answer Overflow is an open source project that makes the content sent in public Discord servers accessible to search engines and AI agents. Over 300+ communities use Answer Overflow to create web pages from their Discord content and it serves 1.5 million monthly active users. Creator: Rhys Sullivan View the project View GitHub Repository UI TripleD UI TripleD offers UI blocks, components, and full pages in shadcn/ui and Base UI, powered by Framer Motion, with a Landing Builder, Background Builder, and Grid Generator. Creator: Moumen Soliman View the project View GitHub repository hot-updater An open source React Native OTA (Over-The-Air) update solution built as a modern alternative to CodePush, designed to avoid vendor lock-in and work across many infrastructure providers. Creator: Kang Sungyu View the project View GitHub repository Screenshot Studio Screenshot Studio is an open source, fully in-browser canvas editor for creating high-quality visual designs without installs or backend dependencies, with real traction and an active contributor community. Creator: Kartik Labhshetwar View the project View GitHub repository Takumi JSX -> Image. A next/og alternative with more advanced features, with growing adoption across companies and open source projects. Creator: Kane Wang View the project View GitHub repository APIs.guru A directory and tooling hub for OpenAPI definitions of public APIs, used by thousands of developers and increasingly by LLM-driven workflows. Creator: Ivan Goncharov View the project V ## Getting Global Age Assurance Right: What We Got Wrong and What's Changing DevFeed: [Getting Global Age Assurance Right: What We Got Wrong and What's Changing]() Original publisher: [Read original article]() Author: Stanislav Vishnevskiy Published: 2026-02-24T00:00:00Z Content type: article Language: en Sources: [Discord Blog]() Topics: [Discord](), [online privacy](), [Security](), [data](), [incident](), [Reddit](), [Roblox]() Tags: [data](), [discord](), [incident](), [launch](), [policy](), [privacy](), [security]() ### AI overview Discord outlines changes to its global age-assurance plans, including greater transparency about verification vendors, multiple verification options, strict data-retention limits, and a delayed global launch until the second half of 2026. The article also explains that a limited UK test with Persona ended without further partnership and that facial age estimation must be performed entirely on-device. ### Source excerpt Discord's CTO addresses community concerns about age assurance: no mass ID collection, new vendor transparency commitments, and a delayed global launch until second half of 2026. ## Is it OK to let your children post selfies online? DevFeed: [Is it OK to let your children post selfies online?]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2026-02-17T10:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [online privacy](), [AI Bots](), [Large Language Model]() Tags: [ai](), [ai-bots](), [identity-theft](), [kids-online](), [large-language-models-llms](), [tech](), [technology]() ### AI overview The article advises parents on helping children develop a healthy relationship with technology while considering the risks of posting selfies on social media. It explains how digital permanence, reposting, AI bots scraping content to train large language models, predators, extortion, cyberbullying, and exposed personal information can threaten children's privacy and safety. ### Source excerpt When it comes to our children's digital lives, prohibition rarely works. It's our responsibility to help them build a healthy relationship with tech. ## Scaling social science research DevFeed: [Scaling social science research]() Original publisher: [Read original article]() Published: 2026-02-13T09:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [data](), [Open Source](), [OpenAI](), [datasets](), [Python](), [Benchmark](), [online privacy](), [coding]() Tags: [benchmark](), [coding](), [data](), [datasets](), [global-affairs](), [gpt](), [open](), [open-source](), [privacy](), [python](), [research](), [science]() ### AI overview OpenAI's Economic Research Team introduces GABRIEL, an open-source Python toolkit that uses GPT to convert unstructured text and images into quantitative measurements. It helps economists, social scientists, and data scientists analyze qualitative data at scale, while supporting dataset merging, deduplication, passage coding, theory ideation, and privacy-preserving deidentification. ### Source excerpt GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale. ## Your personal information is on the dark web. What happens next? DevFeed: [Your personal information is on the dark web. What happens next?]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2026-01-13T10:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [online privacy](), [pii](), [Cybercrime](), [Malware](), [ransomware](), [Authentication](), [MFA](), [Artificial Intelligence]() Tags: [attacks](), [authentication](), [breach](), [data](), [exploits](), [fraud](), [genai](), [generative](), [malware](), [mfa](), [phishing](), [pii](), [privacy](), [ransomware](), [us]() ### AI overview This article explains what may happen when personal information appears on the dark web, including fraud and account hijacking. It describes data breaches, infostealer malware, ransomware-related extortion, phishing, and generative AI-assisted attacks as routes by which personal and financial data can be exposed and sold. ### Source excerpt If your data is on the dark web, it's probably only a matter of time before it's abused for fraud or account hijacking. Here's what to do. ## A brush with online fraud: What are brushing scams and how do I stay safe? DevFeed: [A brush with online fraud: What are brushing scams and how do I stay safe?]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2025-12-23T10:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Cybercrime](), [data](), [QR Code](), [Malware](), [online privacy]() Tags: [cybercrime](), [data-breaches](), [fraud](), [identity](), [malware](), [phishing](), [qr-code](), [scams]() ### AI overview The article explains brushing scams, in which fraudsters send unsolicited low-value packages to manipulate marketplace ratings and reviews. It warns that such activity may indicate exposed personal data, identity-fraud risk, or phishing and malware threats delivered through QR codes. ### Source excerpt Have you ever received a package you never ordered? It could be a warning sign that your data has been compromised, with more fraud to follow. ## The Ethereum Foundation's Commitment to Privacy DevFeed: [The Ethereum Foundation's Commitment to Privacy]() Original publisher: [Read original article]() Author: Ethereum Foundation Published: 2025-10-08T00:00:00Z Content type: opinion Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [online privacy](), [Security](), [Open Source]() Tags: [ethereum](), [online-privacy](), [open-source](), [organizational](), [privacy](), [security]() ### AI overview The Ethereum Foundation explains why privacy is important for people, developers, institutions, and society, and outlines its ongoing and expanded support for privacy research and development. The article highlights projects including Semaphore, MACI, zkEmail, TLSNotary, and Anon Aadhaar. ### Source excerpt Privacy is the freedom to choose what you share, when you share it, and who you share it with. We all take this for granted in daily life: closing the door to a room, casting a secret ballot, or speaking privately with a friend. But online and onchain, these protections... ## Fighting Unwanted Notifications with Machine Learning in Chrome DevFeed: [Fighting Unwanted Notifications with Machine Learning in Chrome]() Original publisher: [Read original article]() Author: Chromium Blog (noreply@blogger.com) Published: 2025-05-08T16:59:00Z Content type: article Language: en Sources: [Chromium Blog]() Topics: [Chrome](), [Machine learning](), [Android](), [online privacy](), [Security](), [synthetic-data](), [Open Source Models & Datasets](), [Language models](), [data]() Tags: [android](), [chrome](), [gemini](), [google](), [large-language-model](), [machine-learning](), [none](), [notifications](), [on-device](), [privacy](), [security](), [synthetic-data]() ### AI overview Chrome is introducing warnings for potentially deceptive or spammy notifications on Android. A local on-device machine learning model analyzes notification text, flags likely unwanted messages, and lets users unsubscribe, view the content, or allow future notifications. Notification contents remain on the device to protect privacy, and the model was trained with synthetic data generated by the Gemini large language model. ### Source excerpt Notifications in Chrome are a useful feature to keep up with updates from your favorite sites. However, we know that some notifications may be spammy or even deceptive. We've received reports of notifications diverting you to download suspicious software, tricking you into sharing personal information or asking you to make purchases on potentially fraudulent online store fronts. To defend against these threats, Chrome is launching warnings of unwanted notifications on Android. This new feature uses on-device machine learning to detect and warn you about potentially deceptive or spammy notifications, giving you an extra level of control over the information displayed on your device. When a notification is flagged by Chrome, you'll see the name of the site sending the notification, a message warning that the contents of the notification are potentially deceptive or spammy, and the option to either unsubscribe from the site or see the flagged content. An example of a notification flagged as possibly spam. If you choose to see the notification you will still see the option to unsubscribe or you can choose to always allow notifications from that site and not see warnings in the future. What you see when viewing a flagged notification. How It Works Chrome uses a local, on-device machine learning model to analyze notification content. This model identifies notifications that are likely to be unwanted. The model is trained on the textual contents of the notification, like the title, body, and action button texts. Notifications are end to end encrypted. The analysis of each message is done on-device and notification contents are not sent to Google, to protect user privacy. Due to the sensitive nature of notifications content, the model was trained using synthetic data generated by the Gemini large language model (LLM). The training data was evaluated against real notifications Chrome security team collected by subscribing to a variety of websites that were then classified by ## Privacy-Preserving Personal Search Appliance DevFeed: [Privacy-Preserving Personal Search Appliance]() Original publisher: [Read original article]() Published: 2025-01-31T04:27:09Z Content type: article Language: en Sources: [Ariya Hidayat]() Topics: [online privacy](), [Open Source](), [podman](), [Homelab](), [DuckDuckGo](), [Docker](), [Debian](), [Intel Core](), [Hardware](), [Proxmox]() Tags: [debian](), [docker](), [google](), [hardware](), [home-server](), [intel-core](), [llms](), [open-source](), [podman](), [privacy](), [proxmox](), [x86]() ### AI overview The article describes a privacy-preserving personal search appliance powered by SearXNG, an open-source metasearch engine that fetches results from other search engines without directly crawling and indexing the web. It covers running SearXNG with Docker or Podman on a used x86 system and discusses dedicated hardware, remote access, power use, and simpler Debian-based setup options. ### Source excerpt This is powered by SearXNG, an excellent open-source meta search engine. ## A privacy friendly RSVP for events DevFeed: [A privacy friendly RSVP for events]() Original publisher: [Read original article]() Author: info@jeroenmols.com (Jeroen Mols) Published: 2023-03-28T00:00:00Z Content type: tutorial Language: en Sources: [Jeroen Mols]() Topics: [online privacy](), [HTML](), [Website](), [JavaScript](), [email]() Tags: [blogs](), [email](), [events](), [html](), [javascript](), [privacy](), [responses](), [rsvp](), [third-party](), [website]() ### AI overview This tutorial presents a privacy-friendly RSVP alternative using a simple HTML page and JavaScript to open a guest's email application with a prefilled recipient, subject, and message. It avoids collecting personal information through a third-party RSVP service. ### Source excerpt Planning an event can be stressful, and the last thing you need is worrying about your guests' privacy. But don't worry, I've got you covered with a privacy-friendly RSVP option. ## Van Buren DevFeed: [Van Buren]() Original publisher: [Read original article]() Author: Adam Published: 2021-06-04T00:00:00Z Content type: opinion Language: en Sources: [Shostack & Friends Blog]() Topics: [Internet](), [online privacy]() Tags: [blog](), [criminal](), [information](), [internet](), [personal](), [privacy]() ### AI overview The author discusses the Supreme Court's ruling in Van Buren, agreeing that the decision limits use of the CFAA's criminal provisions to enforce restrictions on how or why people use online services. The author also examines arguments about using the CFAA to protect sensitive personal information and argues that Congress should resolve these legal questions. ### Source excerpt The Supreme Court has ruled in the van Buren case, and there's a good summary on the Eff's blog. ## Privacy-focused alternatives to mainstream Big Tech services DevFeed: [Privacy-focused alternatives to mainstream Big Tech services]() Original publisher: [Read original article]() Published: 2020-11-08T00:00:00Z Content type: opinion Language: en Sources: [Markus Hatvan]() Topics: [online privacy](), [Security, Privacy and Abuse Prevention](), [DuckDuckGo](), [Google Search](), [Open Source]() Tags: [alternatives](), [data-privacy](), [google](), [google-search](), [online-privacy](), [privacy]() ### AI overview This opinion article discusses switching from mainstream Big Tech services to privacy-focused alternatives. It explains concerns about personal-data collection, tracking, and corporate concentration, and presents the author's experience balancing privacy, convenience, user experience, and service quality. Google Search alternatives, including DuckDuckGo, are discussed as an example. ### Source excerpt Regular scandals of data leaks by big corporate companies and concerns about misuse of personal information through illegal data collection practices leads to internet users switching away from mainstream products. ## Technology Preview: Signal Private Group System DevFeed: [Technology Preview: Signal Private Group System]() Original publisher: [Read original article]() Published: 2019-12-09T00:00:00Z Content type: article Language: en Sources: [Signal Blog]() Topics: [online privacy](), [App](), [data]() Tags: [api](), [app](), [data](), [database](), [feature](), [messaging](), [privacy](), [race-condition](), [random](), [retrospective](), [scalability](), [security](), [server](), [technology](), [update](), [updates]() ### AI overview Signal previews a private group system that keeps group memberships and attributes hidden from the service. It discusses the limitations of Signal's earlier client-coordinated group state, including concurrent-update race conditions, while aiming to add administration, access control, and scalability without weakening privacy. ### Source excerpt Groups are inherently social, and Signal is a social app. Whether you're planning a surprise party, discussing last night's book club meeting, exchanging photos with your family, or organizing something important, group messaging has always been a key feature of Signal. Signal provides private groups: the Signal service has no record of your group memberships, group titles, group avatars, or group attributes. We've been working on new private group technology that will enable group administrators and access control, improve group scalability, and set the stage for a much richer group experience - all while maintaining Signal's unique group security and privacy properties. We're moving into the future while keeping what we loved about the past. Read more... ## Online Privacy Tools - Links DevFeed: [Online Privacy Tools - Links]() Original publisher: [Read original article]() Published: 2013-09-04T17:53:06Z Content type: article Language: en Sources: [Signs of Triviality]() Topics: [online privacy](), [Tool]() Tags: [book](), [events](), [links](), [list](), [privacy](), [public](), [series](), [talk](), [tools]() ### AI overview A list of links accompanying a talk on online privacy tools at The San Francisco Public Library's One City, One Book events series. ### Source excerpt A list of links accompanying my talk on Onlien Privacy Tools from The San Francisco Public Library's One City, One Book events series. ## One City One Book - Online Privacy Tools DevFeed: [One City One Book - Online Privacy Tools]() Original publisher: [Read original article]() Published: 2013-08-08T14:43:11Z Content type: news Language: en Sources: [Signs of Triviality]() Topics: [online privacy](), [Tool]() Tags: [events](), [online-privacy](), [privacy](), [series](), [talk](), [tools]() ### AI overview An announcement of a talk about online privacy tools at the Ingleside branch of the San Francisco Public Library, held as part of the One City One Book events series. ### Source excerpt On 9/4, I'll give a talk on Online Privacy Tools at the Ingleside branch of the San Francisco Public Library as part of their 'One City One Book' events series. ## Why Theoretical Computer Scientists Aren't Worried About Privacy DevFeed: [Why Theoretical Computer Scientists Aren't Worried About Privacy]() Original publisher: [Read original article]() Published: 2013-06-10T09:51:27Z Content type: opinion Language: en Sources: [Jeremy Kun]() Topics: [online privacy](), [Security](), [national security](), [Computer science](), [Google](), [backdoor](), [Statistics](), [Databases](), [Users]() Tags: [backdoor](), [computer-science](), [cryptography](), [databases](), [differential-privacy](), [google](), [homomorphic-encryption](), [national-security](), [politics](), [privacy](), [security](), [statistics](), [users]() ### AI overview This opinion article discusses public concern about government surveillance and privacy, arguing that privacy, convenience, and security can be maintained together technologically. It also distinguishes the author's personal privacy preferences from opposition to privacy violations as policy. ### Source excerpt There has been a lot of news recently on government surveillance of its citizens. The biggest two that have pervaded my news feeds are the protests in Turkey, which in particular have resulted in particular oppression of social media users, and the recent light on the US National Security Agency's widespread "backdoor" in industry databases at Google, Verizon, Facebook, and others. It appears that the facts are in flux, as some companies have denied their involvement in this program, but regardless of the truth the eye of the public has landed firmly on questions of privacy.