The hottest Privacy Substack posts right now

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

Trust is a design issue

Sunday Letters • 59 implied HN points • 06 Dec 21
🕹 Technology Software User Experience Design Privacy Performance
  1. When creating software, you're making promises to users about reliability and performance. If users can't trust your software to work well, they feel let down.
  2. Over time, adding too many features can slow down software and make it complicated. It's important for teams to keep user experience and performance in mind as they grow.
  3. Strong teams think carefully about the promises they make with each new feature. They aim to keep users happy and avoid feeling like they've broken that trust.

Newsletter #0: Zero-Knowledge Proofs

Decoding Coding • 19 implied HN points • 26 Jan 23
🔮 Crypto Blockchain Security Privacy Web3
  1. Zero-knowledge proofs let someone prove they know something without giving away the actual information. It's like showing you can perform a magic trick without revealing how it’s done.
  2. These proofs have been around since the 1980s and have evolved into important applications in areas like finance and identity verification, especially in Web3 technologies.
  3. ZKPs have key properties like completeness and soundness, but they also come with challenges like being complex to implement and vulnerable to quantum computing attacks.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Chat Control and the New Panopticon

Hack or Be Hacked • 1 HN point • 24 Jun 24
🕹 Technology Regulation Surveillance Privacy Communication Censorship
  1. Chat control involves real-time monitoring and censorship of online communication, raising concerns about privacy and online safety.
  2. The implementation of chat control could lead to mass surveillance resembling George Orwell's '1984', allowing for potential misuse and ineffective prevention of crimes.
  3. Chat control not only poses a threat to privacy but also has the potential to limit freedom of speech by inducing self-censorship and promoting self-regulation of thought.

Effects of Banning Targeted Advertising

Platform Papers • 2 HN points • 30 Apr 24
🕹 Technology Advertising Privacy Innovation Policy Data
  1. Banning targeted advertising may harm consumers by potentially leading to higher prices, reduced innovation, and less favorable outcomes for developers.
  2. Google's ban on targeted advertising in children's games resulted in a notable decrease in app innovation, showcasing the negative impacts of such regulations on developers.
  3. The dilemma lies in balancing user privacy concerns with the need for targeted advertising to maintain app diversity and innovation on digital platforms.

Morzilla Firefox's Total Cookie Protection[Systems Design Sundays]

Technology Made Simple • 19 implied HN points • 21 Aug 22
🕹 Technology Privacy Data Tech news
  1. Cookies are important for websites to store information like login credentials and user preferences, but they can also raise privacy concerns by tracking behavior across the web.
  2. Firefox's Total Cookie Protection creates separate 'cookie jars' for each website visited, preventing cross-site tracking and enhancing user privacy.
  3. Implementing strong privacy measures like Total Cookie Protection can have financial implications by making personal data more valuable and sparking competition in data-sharing partnerships.

29/8/2022: Real World Crypto Day tại Hà Nội

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 28 Aug 22
🔮 Crypto Cryptocurrency Blockchain Cybersecurity Encryption Privacy
  1. Real World Crypto Day in Hanoi on 29/8/2022 featured experts discussing important topics like lattice cryptography and security vulnerabilities in popular blockchains.
  2. The event covered a range of practical cryptography topics like key management, secure API design, and research on password storage and encryption techniques.
  3. Vietnam faces a shortage of security solution designers despite having skilled hackers, highlighting the importance of developing more comprehensive cybersecurity expertise.

HyperMink System-1 will be shipped with vision-capable models

HyperMink Newsletter • 2 HN points • 29 Mar 24
🕹 Technology AI Privacy Functionality Compatibility Autonomy
  1. HyperMink System-1 will be shipped with vision-capable models, able to analyze images and generate text based on what it sees.
  2. System-1 will feature complete autonomy and offline functionality, without requiring subscriptions, data uploads, or sharing with third parties.
  3. The system aims to provide straightforward, hassle-free functionality for users without technical expertise, prioritizing privacy with no tracking or reliance on internet connectivity.

Đổ dầu vào lửa

Thái | Hacker | Kỹ sư tin tặc • 39 implied HN points • 17 Jul 21
🕹 Technology Cybersecurity Privacy Data Collection Ethics Open Source
  1. The author's post discusses legal action against individuals involved in software development, showing the importance of accountability in the tech industry.
  2. Documentation and evidence play crucial roles in supporting claims, as seen in the email thread screenshots shared in the post.
  3. The post highlights the significance of data privacy concerns and the importance of addressing vulnerabilities in software applications for user safety.

☎️ Interview: Dr Hyoduk Shin, Professor of Innovation at UC San Diego on the State of Privacy-Enhancing Technologies #003

Let Us Face the Future • 19 implied HN points • 05 Mar 23
🕹 Technology Privacy Data Sharing Data Governance Regulation
  1. Collaborative computing is becoming a trillion-dollar market reshaping how data is used in the economy.
  2. To promote data sharing, companies need to realign incentives, focus on building relationships, work on culture, and segment data by time.
  3. Financial services and healthcare are early adopters of data collaboration tools due to confidentiality and regulation around privacy and data security.

Ideas about ideas

Turnaround • 59 implied HN points • 21 Oct 19
🕹 Technology Startups Tech Trends Privacy Health tech Innovation
  1. Finding your passion or the problem you want to work on can be a mix of luck, timing, and expertise, but there's value in a deliberate approach too.
  2. Ideas can come from exposure, such as reading books, meeting experts, following trends, and being open to new experiences.
  3. Leverage social capital, find solutions for individual privacy, and explore emerging shifts to generate innovative ideas by staying informed and open to new possibilities.

Protecting Your Life Range

Metarational • 19 implied HN points • 20 Aug 21
📖 Philosophy Life Trust Privacy Strategy
  1. In poker and in life, it's important to mix up your actions to protect yourself and maintain an element of unpredictability.
  2. Being secretive or open about even mundane details can impact how others perceive your trustworthiness and intentions.
  3. People often exhibit strategic behaviors without consciously realizing it, showcasing how sociocultural norms can align with game theory.

Câu hỏi thường gặp về vụ lộ dữ liệu Sổ sức khỏe điện tử

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 06 Oct 21
🏥 Health & Wellness Data Breach Open Source Data security Privacy
  1. Data from COVID vaccination in Vietnam may end up in an electronic health book, including personal information like name, birthday, address, phone number, ID numbers - which can be exploited by malicious individuals.
  2. If personal data is compromised, it can lead to identity theft and phishing scams, where attackers use the information to impersonate for financial gain.
  3. Advocating for open-source systems in COVID apps can increase security by allowing experts to assess and enhance the products, potentially preventing data breaches and vulnerabilities.

Shaping Obsidian's Tomorrow - How Obsidian Can Embrace AI and Stay True to Its Roots

Exploring Tools for Thought • 1 implied HN point • 23 Nov 24
🕹 Technology AI Tools Productivity Software Development Privacy Innovation
  1. Obsidian is known for its focus on privacy, making it a strong tool for personal knowledge management. This is an important feature for many users who want to keep their data secure.
  2. The rise of AI presents both opportunities and challenges for Obsidian. It raises questions about how to integrate AI capabilities without losing user control or compromising privacy.
  3. There are bold ideas out there for making AI work with Obsidian. Developers can bridge the gap between AI technology and the platform while maintaining its core values.

The “Free and Open Internet” Hypocrites

The Oasis • 9 HN points • 28 Mar 23
🇺🇸 U.S. Politics Internet Privacy Tech Government Legislation
  1. There is hypocrisy in calls for a free and open internet while targeting TikTok for being a potential security threat.
  2. The controversy around TikTok seems to be more about competition and revenue loss for established tech giants.
  3. The focus on TikTok's alleged threat overlooks the existing privacy concerns and data collection practices of other major tech companies like Facebook.

Data Science Weekly - Issue 399

Data Science Weekly Newsletter • 19 implied HN points • 15 Jul 21
🕹 Technology Data science Machine Learning AI Privacy Automation
  1. Data for good initiatives aim to use data positively but often face disconnects. It's important to understand what these initiatives do and how they differ from one another.
  2. Peer reviews in data science can improve project outcomes, but they may not go as planned in real situations. Learning from what works and what doesn’t is key to improving the process.
  3. Amazon collects a lot of user data through various services, which many people might not be aware of. Understanding privacy policies is important to know how your data is used.

Data Science Weekly - Issue 394

Data Science Weekly Newsletter • 19 implied HN points • 10 Jun 21
🕹 Technology Data science AI Machine Learning Privacy Automation
  1. The data economy often harms our privacy as companies gather personal information for profit. It's important to think about how our data is used.
  2. New AI technologies, like deep reinforcement learning, can improve tasks like chip design significantly faster than traditional methods. This shows how AI can change engineering jobs.
  3. Data monitoring is crucial for machine learning applications. It helps ensure that models perform well and meet the needs of companies.

Responsible AI: Building fair, legal & secure AI

Gradient Flow • 19 implied HN points • 24 Nov 20
🕹 Technology AI Privacy Security Webinar Ethics
  1. Responsible AI focuses on fairness, accountability, transparency, security, privacy, safety, and reliability in implementing AI technologies
  2. Experts in AI provide best practices on avoiding liabilities, measuring fairness in AI systems contextually, and securing AI and machine learning systems
  3. A webinar on Responsible AI is scheduled for December 15, 2020, covering practical insights and real-world experiences to help organizations implement AI responsibly

Truy vết lý tưởng

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 16 Apr 20
🕹 Technology Privacy Security Innovation Research Ethics
  1. Collaboration between tech giants like Google and Apple to develop technology for contact tracing can lead to promising solutions for public health crises.
  2. Balancing safety, privacy, cost-effectiveness, and convenience in product development poses a challenging yet fascinating puzzle that experts at companies and universities worldwide are working to solve.
  3. In times of crisis, upholding human rights and privacy, even if more difficult and potentially less successful, embodies the true essence of an ideal.

Cloud fortress

Metal Machine Music by Ben Tarnoff • 19 implied HN points • 15 Nov 19
🕹 Technology Platforms Privacy Surveillance Activism Data
  1. The expanding definition of 'platforms' in tech can have significant implications, shaping responsibilities and liabilities of tech companies.
  2. The use of platforms in law enforcement can impact accountability, public trust, and insulation from criticism and legal action.
  3. Historical instances of groups like CLODO attacking computer centers highlight concerns over surveillance, control, and societal impacts of computerization.

Don't Ban TikTok Just Because it's a Flaming Planet of Dinosaur Shit

I Might Be Wrong • 1 implied HN point • 19 Mar 24
🕹 Technology Social media Privacy Government Regulation
  1. There are various reasons to dislike TikTok beyond its content, like how it impacts the comedy industry and news integrity.
  2. The decision to ban TikTok should be focused on its potential ties to the Chinese government, rather than just its content.
  3. Banning social media platforms should have a specific, well-considered rationale to avoid setting a precedent that could be misused.

The Ethics of Influencer Technology: Balancing Privacy, Profitability, and the Role of shipto.me

The SHIPTO.ME Blog • 1 HN point • 16 Jun 23
🕹 Technology Ethics Privacy Profitability Influencers Data
  1. In influencer technology, privacy and profitability are key concerns for users to consider.
  2. Influencers can manipulate behavior by endorsing products, sometimes resulting in negative outcomes for their audience.
  3. It's important to be cautious when using influencer platforms, follow genuine influencers, question content authenticity, and understand privacy policies.

Facebook và Minds

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 02 Jul 18
🕹 Technology Social media Cybersecurity Privacy Decentralization Internet
  1. Consider protecting privacy and productivity by being cautious of social media platforms like Facebook that may lead to dependency and distraction.
  2. Be skeptical of promises made by newer platforms like Minds that claim to prioritize free speech, as their primary goals may still be profit-driven.
  3. Prioritize safety, privacy, and freedom of speech when choosing social media platforms, and consider decentralized options like Mastodon to avoid reliance on profit-based companies.

The Luddite's Guide to Defending Cash (Part 1)

Altered States of Monetary Consciousness • 2 HN points • 08 May 23
💰 Finance Digital Payments Resilience Privacy
  1. Cash plays a crucial role in balancing the power dynamics of digital money.
  2. The narrative of a cashless society being a 'progressive upgrade' overlooks essential aspects of financial resilience and inclusion.
  3. Digital payment systems can lead to excessive centralization, loss of autonomy, and potential privacy concerns, highlighting the importance of maintaining a balance between cash and digital options.

AI's Interface Revolution

Digital Native • 1 HN point • 26 Apr 23
🕹 Technology AI Interfaces Startups Distribution Privacy
  1. AI is revolutionizing how we interact with products and services, blurring lines between human relationships and digital companions.
  2. The AI interface revolution is happening quickly, similar to the mobile revolution that some companies almost missed.
  3. New AI applications are changing how we shop, find support, and communicate, with AI-native companies emerging and traditional distribution strategies evolving.

Riêng tư trên Internet

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 25 Jul 12
🕹 Technology Privacy Data security Social media Internet Usage Government Surveillance
  1. Using products and services from foreign companies on the internet may involve sharing personal information, which is not necessarily bad as these companies provide free services in exchange for that data.
  2. It's important for users to question whether they should trust a company to access and use their personal information, as most companies outline these practices in their privacy policies.
  3. It's common for governments to request user information from companies, and while US companies may be more likely to challenge such requests, companies in countries like Vietnam often comply without question, raising concerns about privacy and trust.

Differential privacy, an easy case

Accuracy and Privacy • 1 HN point • 02 Jan 19
🕹 Technology Privacy Statistics Data Collection Data processing
  1. Differential privacy is a mathematical definition of privacy specifically designed for protecting personal data in a world of big data and computation.
  2. Privacy protection in differential privacy comes from adding randomness or noise to data before publishing, where more noise equals greater privacy protection.
  3. There is a tradeoff between accuracy and privacy in differential privacy, as the level of uncertainty introduced for privacy protection can impact the accuracy of conclusions drawn from the data.