The hottest Privacy Substack posts right now

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

What did Meta buy? A person? A dataset? A capability?

Alex's Personal Blog • 164 implied HN points • 26 Jun 25
🕹 Technology Privacy
  1. Meta's recent purchase of Scale AI raises questions about what they actually acquired. It could be talent, data, or technology, but its true value remains uncertain.
  2. The reintroduction of the Open App Markets Act aims to break the hold that Apple and Google have on app markets, offering consumers more choices and less control from big tech companies.
  3. There's an ongoing debate about the use of copyrighted materials for AI training, with companies facing lawsuits for using pirated books while some fair use cases are recognized, reflecting the complex legal landscape in the AI space.

You Must See How Far AI Video Has Come

The Algorithmic Bridge • 414 implied HN points • 18 Dec 24
🕹 Technology Privacy
  1. Google's AI video tool, Veo 2, is way ahead of others. It makes better videos than OpenAI's Sora Turbo, which is not as good and feels rushed.
  2. Deepfakes are changing how we see what's real. While they can be fun and creative, they also make it hard to trust what we see, blurring the line between reality and fantasy.
  3. As technology speeds up, we risk forgetting our traditions and customs. This fast pace can leave older generations feeling disconnected from younger ones, so we need to think about what we're losing.

Welcome to Big Brother's Internet

Random Minds by Katherine Brodsky • 121 implied HN points • 01 Aug 25
🇺🇸 U.S. Politics Privacy
  1. The Online Safety Act requires people to share personal information like IDs to access websites, which many feel invades their privacy.
  2. This law could block access to important information for both kids and adults, as companies might overly censor content to avoid fines.
  3. Similar laws are spreading globally, sparking concerns that they will lead to more censorship and a less informed public.
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The Mexican Cartel Allegedly Catfished Her Daughter Using AI. That's Not Big Tech's Fault.

Default Wisdom • 111 implied HN points • 04 Aug 25
🕹 Technology Privacy
  1. AI technology can create convincing fake identities, making it easier for bad actors to deceive people online. This can lead to dangerous situations, like the case of a girl who was catfished by a cartel member.
  2. Legal rulings are starting to differentiate between AI chatbots as products rather than free speech, which could change how companies are held accountable. This raises questions about the responsibility of tech companies in preventing misuse of their products.
  3. People form strong attachments to technology, which can lead to unhealthy situations, especially for those with vulnerabilities. It's important to recognize that these issues often stem from personal struggles, not just the technology itself.

GPT-4 Plugs In

Don't Worry About the Vase • 1747 implied HN points • 27 Mar 23
🕹 Technology Privacy
  1. GPT-4 is getting an upgrade with plug-ins for browsing the internet and using various websites.
  2. Concerns about safety and risks involved in using these new plug-ins have been raised.
  3. The introduction of plug-ins makes it easier to interact with GPT-4, but also raises questions about trust and potential misuse.

AI #50: The Most Dangerous Thing

Don't Worry About the Vase • 940 implied HN points • 08 Feb 24
🕹 Technology Privacy
  1. Gemini Ultra is Google's latest AI model, described better than GPT-4 but conservative in responses.
  2. AI language models like ChatGPT and Google are widely used and offer mundane utility, despite some limitations.
  3. AI advancements raise concerns about deepfakes, fake IDs, and a need for regulations to address security risks.

The Sequence Knwoledge #776: Fake It 'Til You Make It: How RL is Perfecting Synthetic Data.

TheSequence • 21 implied HN points • 23 Dec 25
🕹 Technology Privacy
  1. Reinforcement learning environments can manufacture synthetic data by letting agents interact with simulators or APIs, producing richly labeled trajectories of states, actions, rewards, failures, and recoveries.
  2. This method is especially valuable when real data is scarce or privacy-restricted, and it shines in domains with verifiable outcomes like coding sandboxes, web automation, spreadsheets/SQL, and robotics-in-sim.
  3. Executing tasks to generate data (instead of just describing answers) gives models supervision on how to act and recover, and techniques like Reflexion can use those RL-generated trajectories to iteratively improve agents.

UK Online Safety Act Restricts Access to Substack Unless You "Prove Your Age"

Tessa Fights Robots • 24 implied HN points • 05 Dec 25
🇺🇸 U.S. Politics Privacy
  1. Substack users in the UK now need to prove their age to access certain content, like chats and comments. This is because of a new law called the UK Online Safety Act.
  2. To verify their age, people may need to submit a selfie or a government ID. Without verification, users will often see blurred content or access restrictions.
  3. While age verification is designed to protect younger audiences, it raises concerns about privacy and control. Many feel that such measures can limit free access to content online.

Data Points

Technically Optimistic • 59 implied HN points • 19 Apr 24
🕹 Technology Privacy
  1. Data is essential for AI; you can't have AI without massive amounts of data.
  2. Our relationship with data is complex - it enhances our efficiency and personalization but also raises privacy concerns.
  3. Surveillance capitalism is a reality where tech companies profit from capturing and shaping our private experiences, showcasing the lack of user power and awareness.

OpenClaw & The Lobster Trap: Why the First Real AI Assistant is Also the Most Dangerous

Divinations • 8 implied HN points • 27 Jan 26
🕹 Technology Privacy
  1. A new class of AI agents can act autonomously on your machine, managing email, calendars, and multi-step workflows by keeping persistent personal memory and exercising deep system access.
  2. That deep local access creates serious security and identity risks: the agent can act as you, enable data exfiltration or ransomware, and become an uncontrolled enterprise risk if deployed widely.
  3. The project’s open-source virality shows huge demand for personal AI agency and will push larger companies to build safer, polished versions, but the current system is a powerful prototype, not a consumer-ready product.

Project Stargate: What Is it?

Daniel Pinchbeck’s Newsletter • 10 implied HN points • 07 Jan 26
🕹 Technology Privacy
  1. Project Stargate would build massive computing and genomic infrastructure that could digitize and analyze millions of human genomes, enabling AI-driven prediction and widespread genomic surveillance.
  2. Big tech, foreign partners, and government interests are combining health records and routine-consent DNA samples into centralized systems, outsourcing surveillance and making it hard for regulators to control access or use.
  3. Existing laws don’t clearly stop use of AI-derived polygenic risk scores, so insurers, employers, or state actors could use genetic predictions to discriminate or restrict people, creating lasting, heritable inequalities.

What To Do If Your Data Was Leaked by Celsius + Other Privacy Considerations

DeFi Education • 639 implied HN points • 12 Oct 22
🔮 Crypto Privacy
  1. If your data leaks online, it’s important to switch to a new and common device just for crypto activities. This helps keep your identity and transactions safer.
  2. When you connect your wallet to a dApp, a lot of your device information can get shared without you knowing. It’s important to be aware of this so you can protect your privacy better.
  3. If your crypto data was exposed, consider starting fresh with a new wallet and using cash to buy crypto. Keep your identity separate from your crypto activities to avoid future risks.

EthBoulder: 3 Days of Regen Tech, AI, and Real Future-Building

Crypto Good • 3 implied HN points • 19 Feb 26
🔮 Crypto Privacy
  1. A diverse group of technologists, creatives, and local leaders converged around regen tech and decentralization, focusing on building sustainable, abundant futures rather than crypto hype.
  2. Grassroots, low-code tools proved powerful — a non-engineer built a stable bottom-up event app, and an AI-powered knowledge graph captured notes and reflections in real time to preserve and amplify learning.
  3. Discussions were practical and actionable: grounded AI real-world use cases, arguments for human-guided governance over rigid “code is law,” and live funding/community tooling showed paths for creative projects and cities to adopt regen tech.

Don’t Agree to Terms

Technically Optimistic • 79 implied HN points • 16 Feb 24
🕹 Technology Privacy
  1. Be cautious when agreeing to app terms and conditions to protect your privacy
  2. Reading privacy policies can reveal concerning data collection practices
  3. Emphasize data minimization to reduce privacy and security risks, advocating for user choice and transparency in data collection

#122 Finding Patterns 🧩

Design Lobster • 379 implied HN points • 14 Nov 22
🪑 Design Privacy
  1. Understanding the concept of design patterns and their importance in architecture and software design.
  2. Exploring the use of CV Dazzle makeup to elude facial recognition algorithms by disrupting key facial features.
  3. Seeking to understand deeper patterns in situations and contexts before designing solutions, as highlighted by Fritjof Capra's quote.

Railgun: Hide Your DeFi Private Parts

DeFi Education • 939 implied HN points • 10 Feb 22
🔮 Crypto Privacy
  1. DeFi transactions are public, which can expose your entire financial history. This means it's easy for anyone to see what you've been doing financially.
  2. Using the same device for different tasks can link your real identity to your DeFi activities, even if you think you're being anonymous.
  3. Railgun is a tool designed to help protect your privacy in DeFi, allowing you to manage your transactions more discreetly.

The AI Land Grab Begins

theconnector • 157 implied HN points • 16 May 23
🕹 Technology Privacy
  1. Generative AI technologies are causing significant changes in our society.
  2. Companies like Google and OpenAI are disrupting existing economic models with AI services.
  3. Public engagement and oversight are crucial in shaping the future of AI regulation.

How Privacy Policies Really Work

DeFi Education • 459 implied HN points • 25 Nov 22
🔮 Crypto Privacy
  1. Companies must follow privacy laws like GDPR, which set strict rules on how to collect and use personal data. Breaking these rules can lead to big fines and even legal trouble for executives.
  2. Privacy policies are crucial because they inform users about what data is collected and how it is used. Companies are updating their privacy policies to reflect what they actually do with data.
  3. Using services like Metamask means sharing your data, like your IP address and Ethereum wallet address. It's essential to be cautious and consider using privacy tools to protect your information.

Winning the Lottery

We're Gonna Get Those Bastards • 7 implied HN points • 03 Jan 26
💰 Finance Privacy
  1. If you win, stay anonymous and keep it quiet because public winners get inundated with scammers, lawsuits, and people asking for money.
  2. Immediately hire financial, legal, and tax advisors and focus on preserving wealth with conservative investments and real estate instead of buying flashy toys.
  3. Treat lottery tickets as a small entertainment expense or upside exposure (a rule like 0.1% of income), and remember taxes will take a large bite of any big prize.

Must Learn AI Security Series: Introduction

Rod’s Blog • 138 implied HN points • 01 Aug 23
🕹 Technology Privacy
  1. AI security is crucial as AI becomes a prevalent and powerful technology affecting various aspects of our lives.
  2. Exploiting AI vulnerabilities can lead to severe real-world consequences, highlighting the importance of addressing AI security concerns proactively.
  3. Transparent and ethical AI systems, alongside secure coding practices and data protection, are essential in mitigating AI security risks.

Bluesky Is Not Ready

Mosquito Chronicles • 137 implied HN points • 02 May 23
🕹 Technology Privacy
  1. Bluesky, the decentralized social network, is not fully ready for competition with Twitter.
  2. Bluesky is lacking core features like DMs, public protocol, and app features.
  3. Issues to address include content moderation, performance, usability, and community expansion.

The Sequence Knowledge #756: The Simplest Approach to Synthetic Data Generation

TheSequence • 21 implied HN points • 18 Nov 25
🕹 Technology Privacy
  1. Generative synthesis creates new data by understanding the patterns in existing datasets. It's like learning how a recipe works and then creating a dish that tastes similar.
  2. This method is used to build realistic examples of data, making it helpful for expanding small datasets and reducing bias. It can help create balanced data where some important types might be missing.
  3. Generative synthesis is also important for privacy since it can produce data that looks like real sensitive information without revealing any actual details.

AI and the Law: A Turbulent Relationship

Rod’s Blog • 59 implied HN points • 21 Feb 24
🕹 Technology Privacy
  1. AI is reshaping the legal landscape with challenges like intellectual property disputes, data privacy concerns, and ethical dilemmas.
  2. Legal battles over AI ownership rights and copyright infringement are intensifying as AI becomes more prevalent in society.
  3. Regulating AI development and deployment is a major challenge globally, with different regions having varying approaches to ensure ethical and human-centric AI.

🎧 Technically Optimistic Podcast: Season Two

Technically Optimistic • 19 implied HN points • 08 Jun 24
🎙 Podcasts Privacy
  1. Season Two of Technically Optimistic Podcast dives into the topic of data privacy and control.
  2. Episodes discuss how our behavior online is used as a valuable resource, the impact of digital surveillance on reproductive rights, and the use of data in influencing voters.
  3. The podcast explores the concerns around online tracking of children, the evolving data economy in South Asia, and the implications of facial recognition technology in law enforcement.

China's CCP-controlled 'Little Red Book' app drives home two messages: America stinks and China rules

The Dossier • 168 implied HN points • 17 Jan 25
🇺🇸 U.S. Politics Privacy
  1. The 'Little Red Book' app is heavily controlled by the Chinese government, promoting ideas like 'America stinks' and 'China rules'.
  2. Users experience strict censorship on sensitive topics, which is very different from American social media where more free expression is allowed.
  3. Downloading this app carries risks due to Chinese data laws that allow the government access to personal user data, posing privacy concerns for American users.

Last Week in AI #218: Hinton warns of AI dangers ahead, rapid rise of AI-produced music, AI chatbots can now run locally on old computers, and more!

Last Week in AI • 258 implied HN points • 08 May 23
🕹 Technology Privacy
  1. Geoffrey Hinton leaving Google highlights concerns around generative AI and the need for responsible technological stewardship
  2. The surge in AI-generated music raises questions about artists' rights, cultural appropriation, and the balance between technology and ethics
  3. Development of chatbots like MLC LLM running on various devices shows potential for local AI processing and privacy benefits

Liar’s Dividend

Technically Optimistic • 39 implied HN points • 29 Mar 24
🕹 Technology Privacy
  1. AI can spread disinformation and make it easier to deny the truth
  2. Misinformation leads to increased skepticism and questioning of everything seen in images and videos
  3. Institutions and regulations are working towards certifying media content authenticity to restore trust in what we see

After the Honeymoon: The Virtual Threats with Threads

Pen>Sword • 119 implied HN points • 12 Jul 23
🕹 Technology Privacy
  1. Threads is a social media app launched by Meta that aims to fill the void left by Twitter's decline.
  2. Threads has raised concerns about privacy, speech, and censorship due to its data collection practices, restrictions on deleting accounts, and aversion to political content.
  3. The app's emphasis on 'kindness' and 'friendly spaces' is in contrast to worries about potential censorship and the impact on user freedom.

They Are Watching You

Stove Top • 117 implied HN points • 18 May 23
🕹 Technology Privacy
  1. Surveillance technology is advancing rapidly, posing a threat to privacy
  2. Ron DeSantis is struggling to expand his political base, especially among Asian voters
  3. AI technology is disrupting the writing industry, leading to job losses for writers

Threats Without Borders - Issue 167

Threats Without Borders • 58 implied HN points • 30 Jan 24
🕹 Technology Privacy
  1. Different device identifiers include MAC Address, Serial Number, and IMEI for unique device recognition.
  2. EID and ICCID are specific identifiers for eSIM functionality and SIM cards on mobile networks.
  3. MEID, SEID, and others are additional unique identifiers used for specific device functionalities like eSIMs and NFC technology.