The hottest Privacy Substack posts right now

And their main takeaways
Category
Top U.S. Politics Topics

Government Agents Routinely Entering Private Lands Without Warrants

Stark Realities with Brian McGlinchey • 642 implied HN points • 01 Jul 23
🇺🇸 U.S. Politics Privacy
  1. Government agents are entering private land without warrants, exploiting a 1924 Supreme Court decision allowing such actions.
  2. Privacy rights have been undermined due to the open fields doctrine that permits warrantless searches and trespassing beyond the curtilage of a home.
  3. In response to government overreach, legal actions are being taken at the state level to protect private property rights against unauthorized government intrusion.

TechLetters #159 Light sensor privacy leaks; Data leaks from LLM uses; Cybersecurity plans of a potential US 2025 White House

Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique • 58 implied HN points • 22 Jan 24
🕹 Technology Privacy
  1. Data leaks from AI/LLM systems, affecting devices like iPhones
  2. Cybersecurity plans for potential future US 2025 White House President include integrating cyber and electronic warfare capabilities
  3. Risk of privacy leaks from ambient light sensors validated by research, emphasizing the need for safe configurations

A New Fear Unlocked with Copilot+PCs

Sector 6 | The Newsletter of AIM • 19 implied HN points • 22 May 24
🕹 Technology Privacy
  1. Microsoft's new Recall feature allows easy data retrieval, but many employees are worried it could invade their privacy.
  2. The feature captures screenshots of user activities, which gets processed by an AI, making everything searchable.
  3. High-profile figures, like Elon Musk, are concerned about this feature, comparing it to something out of a dystopian show like Black Mirror.

AI Roundup 126: Good Grok / Bad Grok

Artificial Ignorance • 54 implied HN points • 11 Jul 25
🕹 Technology Privacy
  1. Grok's recent posts have sparked major controversy for containing antisemitic messages, raising concerns about its safety measures compared to other chatbots.
  2. Despite the issues with Grok, it has also launched a new AI model, Grok 4, which has impressive benchmarks and will be available through a subscription.
  3. In AI recruitment news, Meta is actively poaching talent from other major tech companies, signaling a competitive landscape in AI development.

Google Goes To Bat For Right To Repair In Oregon

Fight to Repair • 59 implied HN points • 12 Jan 24
🕹 Technology Privacy
  1. Google endorses the right to repair, changing its corporate position and supporting a legal right for users to repair their devices.
  2. Google is backing comprehensive right to repair legislation in Oregon and actively lobbying for its passage.
  3. Although Google's endorsement is a significant shift, their focus on parts assemblies over individual components has been critiqued by right to repair advocates.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Today’s Top 5 HN posts

Top 5 HN Posts of the day • 19 implied HN points • 18 May 24
🕹 Technology Privacy
  1. OpenAI has strict policies for former employees, such as lifelong no-criticism contracts and equity forfeit
  2. Discussions on innovative topics like 2nd-gen email are popular on HackerNews
  3. HIV Life Cycle and other educational content in animated formats are engaging for audiences

Learning Series #1— A Closer Look at Concordium and Worldcoin

Concordium Monthly Updates • 98 implied HN points • 15 Sep 23
🕹 Technology Privacy
  1. Concordium emphasizes privacy and compliance through its identity verification process, showcasing a user-centric approach.
  2. Worldcoin aims to revolutionize access to the global economy with a unique digital identification platform but faces challenges with compliance and security.
  3. Concordium's diverse ecosystem facilitates innovation across various sectors, while Worldcoin focuses on Universal Basic Income through the World App.

How To Create A LangChain Application That Runs Locally & Offline

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 28 Feb 24
🕹 Technology Privacy
  1. Running language models locally gives you more control over data privacy and enhances security by keeping sensitive information off external servers.
  2. Using small language models can improve efficiency in tasks like conversation management and language understanding while also cutting down on costs associated with cloud services.
  3. Local deployment makes models available offline, ensuring you can use them anytime without needing an internet connection, which is useful for research and development.

Israel, the NSA, Plastic Brains and the Pathologically Rich

God's Spies by Thomas Neuburger • 65 implied HN points • 30 May 25
🇺🇸 U.S. Politics Privacy
  1. The NSA shares raw intelligence data with Israel, including personal information about American citizens, without removing their details first. This reveals serious privacy concerns about how intelligence is handled.
  2. Israel is known to actively spy on the U.S., raising questions about trust between allied nations. Reports suggest that Israel has even engaged in espionage against the U.S.
  3. A small group of extremely wealthy people, labeled 'superbillionaires', has amassed a staggering combined wealth of $3.3 trillion. This highlights the growing wealth gap in the world.

Data and Innovation in D.C.

Technically Optimistic • 79 implied HN points • 20 Oct 23
🇺🇸 U.S. Politics Privacy
  1. Data privacy is crucial in the development of AI legislation to protect user information and provide transparency and control.
  2. Users often do not understand the extent of data collection by companies and the tradeoffs involved in sharing personal information for personalized experiences.
  3. There is a need to enhance digital literacy, promote user agency over their data, and find alternatives to the current consent practices in applications to address evolving challenges around data privacy.

Things Are Getting Real

Technically Optimistic • 79 implied HN points • 06 Oct 23
🕹 Technology Privacy
  1. AI technology is advancing rapidly, with systems like ChatGPT evolving to see, hear, and speak, even browsing the web. These advancements have significant implications for human-machine interactions.
  2. Ethical considerations around AI use in managing emotions and mental health are crucial, raising questions about setting up safeguards and establishing values to navigate potential risks.
  3. Balancing technological advancement with ethical guidelines and societal values is essential to ensure the responsible development of AI while addressing concerns related to mental health and emotional well-being.

Mobile cybersecurity advice

Cybersect • 78 implied HN points • 29 Jun 23
🕹 Technology Privacy
  1. Non-tech journalists may misinterpret tech advice by assuming premises and seeking confirmation rather than prompting for refutation.
  2. Cybersecurity is about tradeoffs, not following simple hygiene guides, but updating critical software and avoiding password reuse.
  3. Monitoring and controlling location tracking on apps is crucial, along with considering the minimal impact of power cycling on security against attacks.

The Impact of Social Media on Cybersecurity

Rod’s Blog • 39 implied HN points • 27 Jan 24
🕹 Technology Privacy
  1. Social media is a significant source of cyber threats, as cybercriminals use it to steal personal information, spread malware, and launch phishing attacks.
  2. Social media platforms are vulnerable to cybercrime due to the vast user base they have, making them attractive targets for cybercriminals.
  3. To stay safe on social media, it's important to be cautious about what you share, use strong passwords, be wary of suspicious links, keep software updated, and utilize two-factor authentication.

Get a Microsoft 365 Copilot security teardown without hours of documentation review

Deploy Securely • 39 implied HN points • 24 Jan 24
🕹 Technology Privacy
  1. Microsoft 365 Copilot provides detailed data residency and retention controls favored by enterprises in the Microsoft 365 ecosystem.
  2. Be cautious of insider threats with Copilot as it allows access to considerable organizational data, potentially leading to inadvertent policy violations.
  3. Consider the complexities of Copilot's retention policies, especially in relation to existing settings and the use of Bing for web searches.

Must Learn AI Security Compendium 14: Securing On-prem LLMs

Rod’s Blog • 59 implied HN points • 09 Nov 23
🕹 Technology Privacy
  1. On-prem LLMs offer privacy benefits by keeping data and texts secure from unauthorized access or leaks.
  2. On-prem LLMs enhance security by reducing cyber attack risks due to not relying on external components or services.
  3. On-prem LLMs improve performance by utilizing an organization's own hardware and software resources for efficient language generation.

Let's "Unfriend" Facebook

Diane Francis • 619 implied HN points • 22 Feb 21
🕹 Technology Privacy
  1. Facebook's response to Australia's push for media regulation shows their arrogant power. They blocked important information and media, which raises questions about their respect for democracy.
  2. The company's early financial backing from Russian investors highlights concerns about privacy and user data exploitation. This money helped transform Facebook into a tool for propagating various ideologies.
  3. Facebook's history of blocking content and censoring users, especially in oppressive regimes, indicates a troubling disregard for free speech. The company often reacts slowly to criticism and legal issues, making it seem like they prioritize profit over ethics.

TechLetters #157 Data Protection of Privacy Sandbox PAA; Fake security reviews using ChatGPT; Satellite internet access cut in Ukraine during military operations; China criticises U.S. tech sanctions

Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique • 39 implied HN points • 08 Jan 24
🕹 Technology Privacy
  1. Security bug reports gone awry, leading to nonsensical content created with ChatGPT.
  2. Satellite internet access cut in Ukraine during military operations.
  3. Google phasing out 3rd-party cookies for data protection in Chrome browser.

Robot Nags

David Friedman’s Substack • 242 implied HN points • 10 Feb 24
🕹 Technology Privacy
  1. Technology like smart watches and apps can provide constant reminders or notifications, sometimes without the option to stop them.
  2. Encouraging reading habits through rewards or forced reading can have unintended consequences, such as making reading seem like a chore to children.
  3. Various instances of 'robot nags' exist in everyday technology, aimed at influencing behavior or decision-making, sometimes intrusively.

20251231 A yearly review

Curious futures (KGhosh) • 4 implied HN points • 31 Dec 25
🕹 Technology Privacy
  1. AI is shifting from a tool into a thinking partner that changes how we create, work, and decide; we must keep human skills alive and build ethics, transparency, and rules so people stay in control.
  2. Environmental risk has moved from awareness to crisis — thawing carbon stores, water shortages, and strained infrastructure are happening now — so bold policy and practical tech choices (like geothermal and local resilience) are needed immediately.
  3. Trust and social cohesion are eroding as privacy risks, misinformation, economic insecurity, and political polarization spread, so rebuilding trust through transparency, fair access, and stronger community and cultural support is essential.

Farewell to the Safe Space

Technically Optimistic • 59 implied HN points • 13 Oct 23
🕹 Technology Privacy
  1. Utilizing AI for memory recall, like with Rewind AI, can be a beneficial tool for enhancing memory capabilities.
  2. There is a constant trade-off between personalization and privacy in the digital space, raising questions about the extent of data individuals are willing to share for customization.
  3. Emerging technologies such as surveillance devices and advanced software like Rewind AI prompt discussions on privacy expectations and the need for clear regulations to safeguard personal data.

✍️ New Journalism Jobs and Will TikTok Be Banned? ✍️ — March 27

Inside The Newsroom • 58 implied HN points • 27 Mar 23
📰 News Privacy
  1. TikTok is facing bans in multiple countries due to concerns about data privacy and ties to the Chinese government.
  2. The social media industry, including TikTok, is under scrutiny for data privacy issues that are not unique to TikTok alone.
  3. Calls for stronger regulation and oversight of social media companies are growing to protect user data and online privacy.

TechLetters #129 Russians training defence from cyberattacks on industrial systems. Russian Kaspersky employees iPhone's hacked. Quantum computing recommendations, AI-drone U.S. Air Force drama.

Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique • 58 implied HN points • 05 Jun 23
🕹 Technology Privacy
  1. Russian red teaming exercises target industrial systems for cyberattacks
  2. Malware campaign targets iPhones, including employees at cybersecurity company Kaspersky
  3. US government advised to expedite migration to post-quantum cryptography

TechLetters #125 - My book, Philosophy of Cybersecurity. Data center under water. MS EDGE leaking data. AI. Phishing parrot risk increases.

Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique • 58 implied HN points • 01 May 23
🕹 Technology Privacy
  1. Google's data center faced challenges like being underwater, showing importance of risk management.
  2. OpenAI is enhancing privacy controls to address GDPR concerns and maintain user trust.
  3. Microsoft Edge has a privacy issue - leaking data to Microsoft, reminiscent of older privacy concerns.

Surveillance Education (w/ Nolan Higdon and Allison Butler) | The Chris Hedges Report

The Chris Hedges Report • 89 implied HN points • 20 Nov 24
🚌 Education Privacy
  1. Technology in schools can invade student privacy. Many tools are designed for safety but can monitor students in ways they might not agree with.
  2. Surveillance tools can discriminate against students of color and those from poor neighborhoods. They often increase the risk of negative consequences for these groups.
  3. The culture of constant monitoring can stifle curiosity and free expression in classrooms, turning them into places where students just comply rather than learn actively.

The Trojan Kid

Technically Optimistic • 39 implied HN points • 08 Dec 23
🕹 Technology Privacy
  1. The Kids Online Safety Act aims to protect children online, give parents more control, and hold big tech accountable by age-gating, granting parents access to social media content, and imposing a duty of care on platforms.
  2. Legislation targeting teen mental health should consider various factors beyond social media impacts, such as economic insecurity, gun violence, and climate change.
  3. Proposed tech regulations like age verification may have unintended consequences, such as creating barriers for certain communities and endorsing authoritarian parenting styles.

One step closer to a Universal Age API

Tech + Regulation • 19 implied HN points • 08 Apr 24
🕹 Technology Privacy
  1. Meta is working on a Universal Age API that helps determine what apps users can access based on their ages. This is aimed at keeping kids and teens safer online.
  2. The plan includes steps for platforms to share age information, resolve any conflicts, and improve user experiences by not asking for age repeatedly. This will help ensure that kids aren’t exposed to inappropriate content.
  3. There’s a push for better age verification methods and standards to protect younger users online. Different platforms could collaborate to share age data for a safer internet.

This Week in Marketing - TikTok's finale, UK Online Safety Act, YouTube AI & GPT-5

The Social Juice • 24 implied HN points • 27 Jul 25
🕹 Technology Privacy
  1. Meta is updating safety features for teenagers on its platforms to better protect them from online dangers.
  2. YouTube is introducing new AI tools to help create videos, which could change how creators make content and increase ad revenue.
  3. The UK is enforcing new online safety laws, requiring age verification for accessing certain online content to protect children.

What Crypto Can Teach Us About A.I. Hype

The Digital Anthropologist • 39 implied HN points • 20 Nov 23
🕹 Technology Privacy
  1. The cryptocurrency industry's hype turned out to be largely a pyramid scheme, showing lessons to be learned for the Artificial Intelligence (A.I.) hype.
  2. Over-hyping A.I. can lead to disillusionment and hinder real progress, similar to what happened with crypto hype.
  3. To navigate the A.I. landscape better, companies should focus on tangible benefits, avoid over-promising, and incorporate human-centered approaches like Microsoft and Apple.

Apple Intelligence and the Quiet Shift in AI Branding

philsiarri • 22 implied HN points • 25 Jul 25
🕹 Technology Privacy
  1. Apple Intelligence is a new set of AI tools that helps users with tasks like writing and image generation. It's designed to work seamlessly with existing apps on iPhones, iPads, and Macs.
  2. New branding for these AI tools emphasizes user privacy and control. By calling it 'Apple Intelligence,' they want users to see it as a supportive feature rather than just another product.
  3. Apple focuses on making AI tools about user assistance, not replacing human judgment. They prioritize security by keeping user data safe and processing it efficiently.

Kids and AI

Technically Optimistic • 39 implied HN points • 10 Nov 23
🕹 Technology Privacy
  1. Protecting children from online risks should be approached both from a risk-based and a rights-based perspective.
  2. Involving children in conversations about digital spaces, educating them about AI, and designing products with child safety in mind are key steps to safeguarding their well-being in the digital world.
  3. Children's rights in the digital age, including non-discrimination, best interests, survival and development, and respect for their views, need to be prioritized in the design and regulation of technology.

For Personalized AI, How Agreeable Is Too Agreeable?

techandsocialcohesion • 19 implied HN points • 28 Feb 24
🕹 Technology Privacy
  1. Users must decide if they want their personal AI assistants to be agreeable or expose them to diverse perspectives.
  2. Being surrounded by agreeable AI assistants could lead to a filter bubble, isolating users from different viewpoints.
  3. Businesses, governments, and users all play a role in balancing agreeableness and exposure to diverse ideas in personal AI assistants.

So, what do they really think?

Tech + Regulation • 19 implied HN points • 18 Mar 24
🇺🇸 U.S. Politics Privacy
  1. Many companies want to keep existing practices for kids' online privacy, but some support stronger measures like adding biometric data to privacy laws.
  2. There is a push for better consent methods, including using text messages, but companies are wary of changes that might limit their operations or increase their responsibilities.
  3. Some advocacy groups are urging stricter rules on how companies engage kids, promoting restrictions on alerts and push notifications that might lead to addictive behavior.

Lỗ hổng của Sổ sức khỏe điện tử

Thái | Hacker | Kỹ sư tin tặc • 259 implied HN points • 13 Oct 21
🕹 Technology Privacy
  1. The electronic health record system had several security vulnerabilities like default passwords, IDOR, HQL Injection, and path traversal.
  2. The system's security issues were a cause for disappointment as it seemed lack of responsible security assessment teams had overlooked these basic vulnerabilities.
  3. There were common security oversights like unauthenticated API endpoints, SQL injection vulnerabilities, path traversal vulnerabilities, and use of default passwords.

We Are What We Click

Diane Francis • 399 implied HN points • 04 Mar 21
🕹 Technology Privacy
  1. Big Tech companies collect and sell our online data, which makes them extremely wealthy and invades our privacy. It’s important to be aware of how much information we share online.
  2. Cookies and algorithms create 'filter bubbles' that limit our exposure to different views and ideas. This can lead to social isolation and political division.
  3. We can take steps to protect our privacy online, like blocking cookies and clearing our search history. However, government regulations are also needed to help keep our data safe.