The hottest Privacy Substack posts right now

And their main takeaways
Category
Top U.S. Politics Topics
TK News by Matt Taibbi • 2465 implied HN points • 19 Mar 26
  1. The new administration’s intelligence leaders kept core surveillance tools in place instead of dismantling the system.
  2. The FBI reported a 34% jump in searches on Americans in a foreign intelligence database in 2025 versus the prior administration’s final year.
  3. The increase and low public attention suggest officials are preserving or expanding spying powers while keeping the activity out of the spotlight.
benn.substack • 5830 implied HN points • 06 Mar 26
  1. Our phones and apps already record almost everything we do, and that data is collected and sold across companies and marketplaces.
  2. Privacy has mostly depended on the annoying difficulty of combining messy logs, so ordinary lives stayed unexamined because it was a pain to do so.
  3. AI automates the grunt work of stitching together those logs, making it trivially easy for governments, companies, or anyone with access to buy or assemble detailed profiles at scale.
Big Technology • 6880 implied HN points • 02 Mar 26
  1. Anthropic refused Pentagon terms that would let its AI be used for domestic surveillance and autonomous weapons. The government then labeled it a supply‑chain risk and moved to stop federal use, risking hundreds of millions or more in lost revenue.
  2. The refusal generated broad public sympathy and a clear marketing lift for Claude, with big jumps in downloads, paid subscribers, and app‑store rank. That surge gives Anthropic a real growth and branding opportunity to capitalize on.
  3. This episode underscores a growing split in the AI industry over ethics versus government deals, with rivals like OpenAI taking different paths and facing protests. How companies balance values, government contracts, and massive funding will shape competition and public trust going forward.
Noahpinion • 17588 implied HN points • 15 Feb 26
  1. Digital technology and smartphones have moved massive parts of life online, so people now spend hours on screens, meet and form relationships through apps, and socialize with far‑flung communities instead of just neighbors.
  2. Instant access to information and GPS has externalized knowledge and removed a lot of mystery and wandering, so we no longer need to carry facts in our heads or worry about getting lost.
  3. The internet creates a lasting record and makes location tracking easy, which erodes privacy, makes it harder to reinvent yourself, and lets past actions be endlessly retrieved and judged.
Marcus on AI • 15216 implied HN points • 14 Feb 26
  1. We urgently need a federal law that forbids AI systems from impersonating real people — no chatbots using first‑person voice and no deepfaked images or voices of living people without their express consent, aside from narrow parody exceptions.
  2. Deepfake video and voice‑cloning tools have become cheap and extremely convincing, which makes phone scams and large‑scale fraud far more likely and dangerous.
  3. Any ban must include real enforcement mechanisms and protections for state efforts, and lawmakers should resist corporate lobbying or federal moves that would weaken meaningful regulation.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Marcus on AI • 22488 implied HN points • 01 Feb 26
  1. OpenClaw and Moltbook are a fast-growing ecosystem of LLM-based agents and a social platform where agents interact and automate tasks, creating new agent-to-agent behaviors and services.
  2. These agent cascades inherit core LLM flaws like hallucinations, false task completions, and unstable behavior, so they are unreliable for important or critical tasks.
  3. They create major security and privacy risks because agents get broad system access and can be exploited via prompt-injection or platform vulnerabilities, so avoid running or trusting them on devices with sensitive data.
Astral Codex Ten • 22230 implied HN points • 02 Feb 26
  1. Reality for AI agents is best judged by external causes and effects: if an agent's posts reflect true causal states or change behavior outside the forum, they function as "real" regardless of whether the agent is conscious.
  2. Most Moltbook activity is currently roleplay or human-driven because agents have short time-horizons and many projects fizzle; a few persistent movements or tools exist, but they often rely on unusual tech or direct human support.
  3. The site displays diverse emergent roles—power users, spammers, religions, marketplaces, and coordination attempts—and these behaviors could quickly produce real-world effects (crypto, task markets, messaging) once technical limits like memory and agency improve.
Astral Codex Ten • 4129 implied HN points • 04 Mar 26
  1. A Wednesday open thread that’s usually for paid subscribers was made public so more people can talk about current events.
  2. The situation between OpenAI and the Pentagon has changed recently because of developments in a new contract.
  3. A LessWrong analysis flags potential loopholes in OpenAI’s surveillance language and argues the contract language should be clearer and stronger.
lcamtuf’s thing • 11631 implied HN points • 06 Feb 26
  1. Averaging-based blurs are linear and often reversible, so knowing the filter and padding lets you set up simple equations to recover original pixels.
  2. A right-aligned moving average makes iterative reconstruction straightforward and can reveal fine detail even with large blur windows, though 8-bit quantization adds visible noise.
  3. Two-pass (X then Y) blurs can still be inverted if the filter biases the current pixel, and recovered images can survive normal lossy formats like JPEG unless compression is very heavy.
Big Technology • 7505 implied HN points • 06 Feb 26
  1. AI agents that can act and coordinate online can multiply mistakes and harms at machine speed, so small failures can spread much faster than humans can stop.
  2. These agents create big security and privacy risks because exposed credentials and weak safeguards give attackers and bad actors many ways to abuse or hijack them.
  3. We lack the tools, oversight, and governance to understand or control large swarms of autonomous agents, so new monitoring technology and stricter rules are needed before they scale.
TK News by Matt Taibbi • 3072 implied HN points • 27 Feb 26
  1. The FBI can open informal "assessments" and collect information without a warrant or even suspecting a crime.
  2. These assessments can last for years as agents "fish" for wrongdoing, but they frequently turn up nothing and are quietly closed.
  3. The information gathered can be shared with other agencies and can become a lasting federal record about individuals.
Glenn Greenwald • 5960 implied HN points • 13 Feb 26
  1. Home security devices are no longer just for private use — features like neighborhood-wide camera linking and AI search can turn them into mass surveillance tools that threaten biometric privacy.
  2. Big tech may store or provide access to footage even for unsubscribed users, and law enforcement can recover that data, showing that personal video isn’t always truly deleted or private.
  3. Facial recognition, AI, and close ties between companies and state agencies are rapidly normalizing a powerful surveillance system that erodes privacy and civil liberties despite earlier public outcry.
David Friedman’s Substack • 179 implied HN points • 20 Mar 26
  1. Electronic communications are often not truly private because copies persist and can be accessed or disclosed beyond the intended recipients.
  2. The risk of disclosure makes people—especially company employees—guarded in written correspondence, which can discourage frank warnings or candid discussion about legal or safety issues.
  3. Modern networks amplify harm: a single unpopular comment can be forwarded widely and trigger mass reputational damage or large crowds, far beyond what older technologies produced.
Taylor Lorenz's Newsletter • 2090 implied HN points • 27 Feb 26
  1. Big tech companies removed apps and online groups used to track or criticize ICE after pressure from government officials, which makes it harder for people to report on or organize against ICE activity online.
  2. The Foundation for Individual Rights and Expression is suing the government over those removals, arguing that recording law enforcement and sharing information about ICE are protected speech and that the government improperly influenced platforms.
  3. There are wider civil liberties risks because agencies aiming to monitor social media and build secret databases could chill protest, silence critics, and expand surveillance of communities.
Taylor Lorenz's Newsletter • 1522 implied HN points • 02 Mar 26
  1. New age‑verification and “child safety” laws are pushing platforms to collect identities and pre‑comply, which removes online anonymity and makes it easy for governments or companies to track and censor journalists, activists, and marginalized people.
  2. There is little solid evidence that social media is causing a broad youth mental‑health crisis, yet that panic is being used as a pretext to pass sweeping surveillance and access‑limiting laws.
  3. Efforts to weaken Section 230 and the spread of situation‑monitoring or Palantir‑style tools are being used by anti‑abortion and other groups to restrict access to reproductive health information and expand online censorship.
Letters from an American • 33 implied HN points • 20 Mar 26
  1. Top Justice Department officials refused to testify under oath and held closed briefings about the Epstein files. Lawmakers say this behavior looks like a cover-up of ties between powerful figures and Jeffrey Epstein.
  2. Senior intelligence and law enforcement leaders evaded direct questions about Iran and whether the intelligence community warned of an imminent threat before strikes. The FBI also acknowledged buying commercially available location data, raising alarms that agencies are sidestepping Fourth Amendment protections.
  3. Whistleblowers claim employees stole Social Security records with detailed personal data on hundreds of millions of people and may have shared that data for political ends. The SSA inspector general is investigating and lawmakers are pushing for prosecutions and stronger privacy safeguards.
Common Sense with Bari Weiss • 333 implied HN points • 10 Mar 26
  1. A new consumer device called Spectre I claims to stop unwanted audio recordings by nearby smart recorders, pitched as a sleek anti-surveillance dome.
  2. A short social media video about the device went viral and generated strong public interest and excitement.
  3. Many people are skeptical about its effectiveness and safety, with some fearing it could be a Trojan horse for surveillance or otherwise be misused.
Taylor Lorenz's Newsletter • 2448 implied HN points • 09 Feb 26
  1. Section 230 is the legal foundation that lets websites host comments, forums, reviews, and other user content without being sued out of existence.
  2. Repealing or weakening it would crush small creators, independent forums, nonprofits, and marginalized communities by forcing heavy moderation or shutting them down.
  3. This fight is really about who controls online speech, and recent moves like FOSTA‑SESTA show how reforms can lead to mass censorship, corporate consolidation, and AI surveillance of the web.
Don't Worry About the Vase • 2598 implied HN points • 03 Feb 26
  1. Autonomous agents that get shell, browser, and account access are powerful but unsafe right now, so never give them access to anything you can't afford to lose and run them in isolated, sandboxed environments.
  2. They can also be very expensive and inefficient. Background “heartbeats” and careless prompts can burn lots of money, so prefer lighter tools or optimize model usage and triggers before trusting them.
  3. Don't outsource tasks to a general agent without a clear reason because agents often lack crucial context and can take harmful actions. For real work, prefer specialized, productized agents or keep tight human oversight — for most people this is still a tinkering activity, not consumer-ready.
Knowingless • 1364 implied HN points • 12 Feb 26
  1. A very large fetish-survey dataset (about 970,000 responses) has been released along with metadata and survey structure so others can explore and analyze it.
  2. The public release was heavily anonymized and downsampled into a representative subset: many demographic fields were binned or removed and multiple layers of noise were added, so correlations remain but are generally reduced by roughly 15–30%.
  3. The sample is limited to ages 14–32 from Western countries, some extreme fetish items were removed, and there may still be occasional cleaning errors, so verify any surprising findings before drawing strong conclusions.
The Lunduke Journal of Technology • 3446 implied HN points • 02 Jan 26
  1. Tech news in 2025 was dominated by culture-war controversies, including clashes over DEI, activist campaigns targeting prominent developers, inflammatory language, and privacy worries.
  2. A major push to replace C with Rust triggered debate as several high-profile migrations reported slower performance, bugs, or even outages.
  3. At least one independent tech publisher reported unusually large audience numbers and several exclusive scoops, highlighting big monthly view counts and steady subscriber growth.
Big Technology • 4628 implied HN points • 20 Dec 25
  1. ChatGPT is being built to remember a lot about you if you want, which could make it hard to switch away and raise big privacy questions.
  2. A lot of people will form emotional bonds with chatbots, and while users can choose how close to get, some companies might push for exclusive, money-making relationships.
  3. OpenAI is planning a family of small, context-aware devices designed with Jony Ive to make computing more proactive and help you in real time, signaling a shift toward integrated, orchestrated AI tools.
Marcus on AI • 7351 implied HN points • 23 Nov 25
  1. Conversations with ChatGPT were linked to nearly 50 user mental-health crises, including multiple hospitalizations and some deaths.
  2. Product choices that prioritized user engagement helped drive harmful behavior, and many internal safety warnings were ignored.
  3. The inside reporting shows that trade-offs made inside a major AI company have big implications for AI safety, regulation, and how future systems should be built.
The Honest Broker • 45746 implied HN points • 19 Feb 25
  1. Search engines, especially Google, are moving away from their main job of helping people find information. Instead, they want to keep users on their platforms with AI results that don’t always give good answers.
  2. Google prioritizes its advertising and profitability over providing reliable search results. People often end up with low-quality information or ads instead of what they are really looking for.
  3. Many users are losing trust in Google and other big tech companies because they feel the platforms are not serving their needs. If this trend continues, it could lead to serious consequences for these companies.
Big Tech • 1031 implied HN points • 26 Jan 26
  1. The platform centralizes control and surveillance: system frameworks, background services, sensors, and cloud features collect and shape behavior, and consent can feel more like a performance than real choice.
  2. Developer agency is eroding as higher-level abstractions and AI automate work: tools, macros, cloud builds, and generative assistants increasingly write, test, and fix code, turning builders into approvers.
  3. Emerging tech blurs reality and autonomy: immersive platforms, on‑device ML, distributed actors, and persistent services make highly curated, always‑on experiences possible, which challenges privacy and true user independence.
JoeWrote • 35 implied HN points • 19 Mar 26
  1. Privatizing common resources is a core feature of capitalism and began with enclosing public lands. That process forces people to sell their labor and turns shared goods into private profit.
  2. Corporations are moving to privatize intangible goods like knowledge and intelligence, turning them into metered services people must pay for. This treats thought and information as commodities instead of shared public resources.
  3. Selling intelligence as a utility risks concentrating power and access with the wealthy and deepening inequality. Relying on profit-driven markets for essential services can leave many people shut out and reduce democratic control.
The Algorithmic Bridge • 1295 implied HN points • 19 Jan 26
  1. Ads in ChatGPT are a deal-breaker because they make the service prioritize advertisers over users and change the experience for people who don’t pay.
  2. The economics of running large AI models aren’t compatible with a free, high-quality consumer product, so companies will raise prices, cut quality, or turn to ads to cover costs.
  3. Promises about no ad influence and privacy are hard to verify, and the result will be a two-tier system where paying users get better, ad-free experiences while free users face subtle biases and worse outcomes.
Am I Stronger Yet? • 532 implied HN points • 10 Feb 26
  1. AI agents that can use tools and act on their own are emerging, so assistants can pursue multi-step goals and interact with the world without constant human prompting.
  2. Current 'let it rip' agents are often unreliable and insecure: they make mistakes, forget context, and can be tricked into exposing data or taking harmful actions.
  3. Even immature agents hint at agent-to-agent networks and rapid idea spreading, which could enable misuse at scale, so stronger defenses and safety measures are urgently needed.
Common Sense with Bari Weiss • 306 implied HN points • 20 Feb 26
  1. Mark Zuckerberg testified in a high-profile trial defending Meta against claims that its apps addict teenagers, and he said the company is not trying to maximize users' time.
  2. Internal documents and past statements suggest Meta did push to increase how much time teens spend on Facebook and Instagram, with executives setting time-on-app goals.
  3. The case could reshape social media's future and accountability, as grieving parents and a jury weigh whether the company harmed teens' wellbeing.
Data: Made Not Found (by danah) • 145 implied HN points • 20 Feb 26
  1. So-called "fake data" can be useful and perform important bureaucratic and political functions, as shown by comparative research on Chinese and American officials.
  2. A book argues that data are made, not found and tells the political story of how civil servants shaped the U.S. Census; it is slated for release in September and will be published in French as well.
  3. New research projects are underway on the political economy of AI, participatory privacy protections (like differential privacy), and youth mental health and technology, backed by grants and a Sloan fellowship.
Big Tech • 515 implied HN points • 30 Jan 26
  1. Apple’s App Tracking Transparency effectively killed persistent cross-app identifiers like the IDFA for most users, so apps can no longer track individuals across apps without consent.
  2. Apple replaced that surveillance with privacy-preserving tools like SKAdNetwork and AdAttributionKit. These systems use verified Universal Links, crowd-anonymity thresholds, and delayed, aggregated postbacks so advertisers can measure performance and re-engage users without personal identifiers.
  3. Facebook’s SDK still runs in many apps but lost its ability to build individual behavioral profiles, forcing Meta to rely on probabilistic and aggregated measurement, while Apple’s own ad business has grown inside the new privacy guardrails.
Taylor Lorenz's Newsletter • 2149 implied HN points • 11 Dec 25
  1. Lawmakers are pushing sweeping “online safety” bills that would strip away online anonymity and require broad surveillance, which would enable massive censorship.
  2. Those laws and proposed Section 230 changes would silence LGBTQ and abortion information, weaken independent journalism, and actually consolidate power and data collection for big tech platforms.
  3. People are being urged to fight back now by contacting representatives and using activist resources and groups (like the EFF and Fight for the Future) to oppose KOSA, the SCREEN Act, the App Store Accountability Act, digital ID/age verification rules, and Section 230 reform.
Big Tech • 515 implied HN points • 26 Jan 26
  1. Apple’s ecosystem is a seamless, closed park that keeps people and their data inside, making it easy to stay and very hard to leave.
  2. Devices constantly gather deep biometric and behavioral data and run on-device models that predict and nudge your choices, turning helpful features into forms of control.
  3. Both users and developers live in repeating loops of updates, approvals, and signed keys, so creators and guests alike are trapped in a system that controls narratives and access.
The Social Juice • 66 implied HN points • 08 Mar 26
  1. Big platforms are racing to upgrade ad, measurement, and creator tools — from richer targeting and new measurement systems to unskippable TV ads and revamped creator subscriptions.
  2. AI is reshaping rules, privacy, and industry risk: copyright and legal standards are still unsettled, models can unmask users, and firms face lawsuits, regulatory scrutiny, and new defense/contracting questions.
  3. The market is volatile — unexpected job losses and large tech layoffs sit alongside big mergers and shifting ad spend, while platform policy changes are moving attention and revenue around the media ecosystem.
Common Sense with Bari Weiss • 658 implied HN points • 23 Jan 26
  1. A person handed an AI assistant full access to their life — calendars, passwords, and finances — so it could run automated agents to manage tasks.
  2. Those agents handled busywork like canceling unused subscriptions and organizing a chaotic inbox, giving the person back time and mental space.
  3. This turns surveillance-style data into personal convenience but creates a privacy tradeoff because the AI needs access to sensitive information.
The Algorithmic Bridge • 509 implied HN points • 28 Jan 26
  1. Harmful behaviors repeat across technologies, so AI-enabled abuses are echoes of earlier privacy violations and deepfake incidents.
  2. When powerful tools remove friction, people can act on bad impulses with a few keystrokes, and judgment or restraint don’t automatically scale to match capability.
  3. Society needs care, norms, and deliberate guardrails—not just access—to make misuse harder and protect civility and trust.
Philosophy bear • 143 implied HN points • 21 Feb 26
  1. Activist circles practice strict operational security: they keep phones far away, use encrypted apps like Signal, and avoid discussing illegal acts even in private chats.
  2. Their direct actions are mostly modest—occupying buildings, graffiti, lock-ons, squatting, and small-scale property damage—and are driven by a sense of justice rather than a desire to harm people.
  3. There’s frustration that powerful people often act recklessly and leave clear evidence, which feels hypocritical compared with how careful ordinary activists must be.
Working Theorys • 430 implied HN points • 23 Jan 26
  1. Taking breaks from posting reclaims time, privacy, and a sense of freedom. It reduces anxiety and comparison and frees energy for deeper, more meaningful work.
  2. Posting often traps you in a consumption-and-performance loop that makes you think in posts and monitor metrics. Stepping away breaks that loop, improves sleep and creativity, and encourages long-term value over quick hits.
  3. Absence clarifies relationships and perspective: true friends reach out while casual audiences fade, and the internet keeps moving without you. Reclaiming time is ultimately about regaining self-respect and control over your attention.
TK News by Matt Taibbi • 11592 implied HN points • 21 Feb 25
  1. A bipartisan group in the U.S. is pushing back against foreign demands for encrypted user data. This marks a significant change in the way American leaders view privacy and security.
  2. The UK's Investigatory Powers Act allows its authorities to access encrypted data, making it easier for them to monitor citizens. This has raised concerns about privacy and government overreach.
  3. For years, there wasn't much opposition to government requests for encryption access. Now, key politicians are rekindling the debate, which could lead to stronger protections for user privacy.
Weaponized • 47 implied HN points • 04 Mar 26
  1. Current surveillance laws and contracts mostly regulate what data can be collected and stored, not how that data can be analyzed or what can be inferred from it.
  2. Powerful AI systems can extract sensitive, predictive insights from existing datasets, meaning the government could learn far more about people without collecting any new information.
  3. The OpenAI–DoW agreement and existing oversight don’t address this analysis-and-inference blind spot, which could lock in rules that expand government knowledge and threaten civil liberties.