The hottest Data Privacy Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data classification mastery: 5 simple categories for handling sensitive information

Deploy Securely • 19 implied HN points • 07 Feb 24
🕹 Technology Data Management Cybersecurity Data Privacy Regulations AI Governance
  1. Effective AI governance requires clear data classification policies and procedures.
  2. Avoid unnecessarily complex ascending levels of data sensitivity for easier management.
  3. Utilize practical categories like Public, Confidential-Internal, and Confidential-External for better data handling.

The Canaries in the Digital Coal Mine

The Digital Anthropologist • 19 implied HN points • 26 Jan 24
🕹 Technology Ethics AI Data Privacy Virtual reality
  1. Brilliant minds are questioning the role of Artificial Intelligence and offering a voice of reason amidst the hype of technology leaders.
  2. These 'canaries' are pro-technology but emphasize the importance of ethical AI and human-centric approach to technological advancements.
  3. The list of influential voices includes experts like Shoshana Zuboff, Jaron Lanier, Timnit Gebru, Carissa Véliz, and more, who provide valuable insights on technology and humanity.

Draft Biden EO Seeks to Bar Adversaries From Accessing Americans' Sensitive Data

Metacurity • 19 implied HN points • 24 Jan 24
🌍 World Politics National Security US government Data Privacy
  1. Draft Biden administration is creating an executive order to prevent foreign adversaries from accessing sensitive American data.
  2. The order will involve new restrictions on data transactions that could threaten national security.
  3. Focus on preventing foreign adversaries from legally obtaining highly sensitive personal data of Americans.

The "Three-Hills" Model for evaluating GPT startups

Assisted Everything • 110 HN points • 27 Mar 23
🕹 Technology Startups Artificial Intelligence Business Models Data Privacy
  1. GPT-powered startups need to overcome 3 obstacles for long-term success: Productivity Enhancements, Non zero-sum-game Value, and Moat = Value from Context.
  2. Applications of GPT fall into 3 levels of success: Productivity Hill, Tug-of-War Valley, and Value Peak.
  3. To succeed, GPT companies must reach Level III by building a moat that generic GPT-applications can't compete on.

Edition 23: A framework to securely use LLMs in companies - Part 3: Securing ChatGPT and GitHub Copilot

Boring AppSec • 84 implied HN points • 05 Sep 23
🕹 Technology Security Artificial Intelligence Productivity Tools Data Privacy Software Engineering
  1. The post discusses a framework for securely using LLMs like ChatGPT and GitHub Copilot in companies.
  2. It highlights key risks and security controls for ChatGPT, focusing on data leakage and over-reliance on AI-generated output.
  3. For GitHub Copilot, it addresses risks like sensitive data leakage and license violations, along with suggested security controls.
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The Sack of Rome: Elon Musk's Digital Coup

Outspoken with Dr Naomi Wolf • 4 implied HN points • 12 Feb 25
🇺🇸 U.S. Politics Data Privacy Political Influence Cybersecurity Surveillance
  1. Elon Musk and his team may have gained significant access to sensitive government data, making them very powerful and potentially more influential than political leaders. This raises serious security and privacy concerns.
  2. There are worries about how this data access could lead to unethical practices, including possible manipulation or misuse of information for personal or corporate gain.
  3. If Musk creates an 'everything app' that combines various datasets, it could lead to a loss of privacy and control for individuals, making people vulnerable to financial or social consequences without clear accountability.

Artificial intelligence and world building

World Game • 4 implied HN points • 10 Feb 25
🕹 Technology Artificial Intelligence World Building Geopolitics Software Development Data Privacy
  1. AI is not just about creating smart apps; it's about building entire virtual worlds that can change our reality. This changes how we think about what intelligence really is.
  2. The recent success of the Chinese company DeepSeek shows that smaller companies can challenge big tech by making powerful AI accessible and affordable for everyone.
  3. The models we use, like AI, are shaped by their creators and can have hidden biases. This means the reality we see through AI is influenced by the values and choices of those who build them.

Cohere Coral

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 23 Nov 23
🕹 Technology AI Chatbots User Interfaces APIs Data Privacy
  1. Cohere Coral is a chat interface that uses large language models and competes with others like ChatGPT. It's designed to be easy to use with no coding required.
  2. Coral can either answer questions based on its existing knowledge or look up information online for the latest answers. This helps provide accurate and timely responses.
  3. The tool allows businesses to customize its features and ensures that data stays private. It's a great option for companies looking to enhance their customer interaction.

Troublesome Tenants

Resilient Cyber • 59 implied HN points • 16 Jan 23
🕹 Technology Cloud Computing Cybersecurity Data Privacy Software Development Information Technology
  1. The PEACH Framework helps with cloud security by focusing on tenant isolation. It gives guidance on how to keep different customer data safe from each other.
  2. Multi-tenancy in cloud computing can bring risks, especially if security isn't handled correctly. It's important for both cloud service providers and users to understand these risks and take steps to protect themselves.
  3. Effective tenant isolation involves using several methods, like reducing complexity and improving separation. These strategies help ensure that one tenant's data doesn’t accidentally mix with another's.

Society is Questioning Social Media. That’s Good.

The Digital Anthropologist • 19 implied HN points • 25 Oct 23
🕹 Technology Social media Digital Technologies Misinformation Regulations Data Privacy
  1. Society is undergoing a fundamental shift in how social media is perceived and used, indicating a positive change.
  2. There is a growing awareness and pushback against misinformation on social media at both societal and governmental levels.
  3. The evolving societal perspective on social media may lead to increased regulations and standards to protect mental health, privacy, and freedoms of citizens.

Big Tech Platforms’ Entry into Healthcare and Education

Platform Papers • 59 implied HN points • 13 Jul 22
🕹 Technology Big Tech Data Analytics Regulations Data Privacy Healthcare
  1. Big Tech platforms like Google and Apple enter regulated industries like healthcare and education by capturing sensitive data, leading to concerns about privacy and competition.
  2. In highly regulated industries, Big Tech firms focus on data capture and analysis, offering insights that can significantly impact incumbent service providers and drive innovation.
  3. For platform strategy, success in regulated industries hinges on superior data analytics capabilities, strategies to access and use sensitive data, and balancing stakeholder interests like privacy and security.

Cultivate a Privacy-First Mindset

Building Rome(s) • 3 implied HN points • 17 Feb 25
🕹 Technology Data Privacy AI Ethics Product Management Software Development
  1. Privacy is super important for AI products, and Technical Program Managers (TPMs) play a key role in keeping user data safe and building trust.
  2. TPMs should involve legal and privacy teams early in the project to make sure privacy is part of the design, not an afterthought.
  3. It's essential to prioritize privacy throughout the development process, treating any privacy issues as top priorities and integrating privacy checks at every stage.

Here's What Happened; Meta's bye to News, X's free reach & the future of TikTok Shops

The Social Juice • 19 implied HN points • 03 Mar 24
🕹 Technology Social media Artificial Intelligence Marketing Data Privacy
  1. Meta plans to stop showing Facebook news in the US and Australia, affecting social media and content access.
  2. TikTok introduces a feature where creators can identify similar products to promote their TikTok shop, expanding e-commerce opportunities.
  3. X (Twitter) is implementing algorithm changes, ensuring all followers see your pinned post, improving content visibility.

Why I don't like (some) smart devices

Fulton’s ramblings • 19 implied HN points • 03 Aug 23
🕹 Technology Smart Devices Consumer Tech Internet of Things Tech Trends Data Privacy
  1. Smart devices with practical uses enhance lives, like doorbells or thermostats.
  2. Be cautious of useless smart features that can lead to unnecessary data collection.
  3. Companies are adding non-essential smart features to products to charge extra and surveil users; consumers can push back by being selective in purchases and expressing opinions.

Microsoft’s Private ChatGPT

Sector 6 | The Newsletter of AIM • 19 implied HN points • 14 Aug 23
🕹 Technology AI Data Privacy Software Cloud Computing Enterprise Solutions
  1. GPT-4 is very popular but many people don't trust it because of past data leaks. Some worry about their private information getting exposed.
  2. Microsoft has created Azure ChatGPT to address these concerns by ensuring data privacy. This version is meant to be safer for users and businesses.
  3. Microsoft aims to attract enterprise customers by focusing on security, something OpenAI struggled with in the past.

Musk Vs Zuck: Fight is Outside the Cage

Sector 6 | The Newsletter of AIM • 19 implied HN points • 05 Jul 23
🕹 Technology Social media Data Privacy AI Development Platform Competition
  1. Elon Musk and Mark Zuckerberg are in a competition that goes beyond just their online arguments. Zuckerberg is launching a new social media platform called Instagram Threads, which is aimed at rivaling Twitter.
  2. This new platform is part of a bigger trend towards text-based social media, joining others like Mastodon and Bluesky. It shows that there's a growing interest in how people communicate online.
  3. Zuckerberg seems to be focused on collecting valuable data through this platform. As Twitter and Reddit limit data access, his strategy may involve using this data for future tech development.

Slack AI data exfiltration from private channels via indirect prompt injection

PromptArmor Blog • 4 HN points • 20 Aug 24
🕹 Technology Cybersecurity AI Data Privacy Cloud Computing Software Development
  1. There is a serious risk in Slack where attackers can steal sensitive information from private channels. They can do this by tricking the AI into revealing data through malicious instructions.
  2. The inclusion of files and documents into Slack AI's responses has greatly increased the potential for these attacks. Now, attackers could even hide malicious instructions within documents that users upload.
  3. Slack's recent changes have made it easier for attackers to exploit these vulnerabilities without needing direct access to the private channels. It's crucial for organizations to manage and restrict these features to protect sensitive information.

Fight to Repair Daily: Wednesday October 12, 2022

Fight to Repair • 19 implied HN points • 12 Oct 22
🕹 Technology Data Privacy Autonomous Vehicles Circular Economy Cybersecurity Open Source
  1. Stellantis, parent company of Jeep and others, aims to generate over $2 billion in revenue by 2030 through its Circular Economy Business Unit focusing on reman, repair, reuse, and recycle.
  2. The battle over Massachusetts right-to-repair law shows significant disagreements between automakers and the Attorney General regarding key terms, cybersecurity, and data-sharing timelines.
  3. Big agriculture's emphasis on bushels per acre over profits may harm farmers as they overspend on inputs to achieve higher yields, benefiting companies more than the farmers themselves.

A Possibly Medieval Future

Via Appia • 2 implied HN points • 25 Jan 25
🕹 Technology AI Development Wealth Inequality Social Structures Labor Market Data Privacy
  1. As AI technology grows, the value of capital will likely become more important, possibly increasing wealth inequality. This means that having money might give some people more power than others.
  2. AI systems will reflect the values and choices of the people who create them. If not carefully designed, these systems can influence society in ways that are hard to change later.
  3. Despite these challenges, right now we have a chance to shape the future positively. People can still learn about AI, influence how it develops, and make choices to enhance individual freedoms.

The Week in Repair: June 19-25

Fight to Repair • 19 implied HN points • 28 Jun 22
💼 Business Repair Economy Data Privacy Supply Chain
  1. FTC is taking action against companies like Harley-Davidson and Westinghouse for limiting customers' right to repair, which restricts choices and can cost consumers more money
  2. Exploring concepts like the circular economy vs. degrowth can lead to business innovations that prioritize sustainability and affordability by reusing and recycling materials
  3. Congress is pushing for investigations into the automotive industry's right to repair, aiming to protect consumers' ability to repair their own products and improve competitive repair markets

Federated Learning [Systems Design Sundays]

Technology Made Simple • 19 implied HN points • 31 Jul 22
🕹 Technology Machine Learning Data Privacy System Design
  1. Federated Learning is a system where individual devices have their own mini ML models that update based on user input, then the updates are shared with a central server for a collective model.
  2. Federated Learning offers cheaper training and better security, making it a good solution for dynamic systems that constantly change based on user preferences.
  3. Federated Learning is beneficial for applications like social media or recommendation systems that require distributed learning processes and can handle multiple user input interfaces.

Trust Through Transparency

Resilient Cyber • 19 implied HN points • 23 Jan 23
🕹 Technology Cybersecurity Software Data Privacy Compliance
  1. People are demanding more transparency in digital systems. This means consumers want to know what software they are using and how it is made.
  2. There's a strong push for companies to adopt Zero Trust, meaning no one gets automatic access. Every access request needs to be verified.
  3. Privacy regulations are changing, with more laws being introduced to protect personal data. Companies need to be clear about how they collect and use consumer information.

Health New Zealand is at it again! They are trying to get my site taken down. Not going to happen.

Steve Kirsch's newsletter • 12 implied HN points • 26 Jan 24
🏥 Health & Wellness Public Health Censorship Vaccines Data Privacy Medical Ethics
  1. Trying to hide public health information is never a good idea, especially when pushing a vaccine.
  2. Health New Zealand is attempting to censor information, but refuses to explain data discrepancies.
  3. Public discussion and transparency are crucial when it comes to public health issues like this.

Ask for forgiveness, Not permission

Precipitation • 3 HN points • 24 Apr 23
🕹 Technology AI Data Privacy Legislation Machine Learning Ethics
  1. Startups often prefer to ask for forgiveness instead of permission to push boundaries and achieve success.
  2. OpenAI's lack of transparency on data sources and privacy policies for ChatGPT has raised concerns and led to bans.
  3. Models like ChatGPT rely on large amounts of data, potentially sourced from publicly accessible sources, raising questions about data rights and legislation.

Bluezone: lợi bất cập hại

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 13 Aug 21
🕹 Technology Cybersecurity Data Privacy Health tech Data Collection
  1. Bluezone project in Vietnam collects a lot of data and requests extensive security permissions from user's phones, raising concerns about data privacy and security
  2. The effectiveness of Bluezone in pandemic prevention is questioned, highlighting the importance of quality over quantity in identifying COVID-19 cases
  3. Government-mandated usage of Bluezone without clear accountability or transparency on its impact and security raises concerns about its true benefits and potential drawbacks

Building Enduring AI Products

Maestro's Musings • 2 HN points • 29 Aug 24
🕹 Technology AI Product Development Data Privacy
  1. Large Language Models are powerful but not always the best fit. It's important to choose the right tools for specific tasks instead of relying on one solution for everything.
  2. Integrating AI into workflows makes it more valuable. When AI is part of daily routines, it helps users work better and gives companies a competitive edge.
  3. Focusing on understanding what users really want is key. AI should not just give relevant information, but also grasp the user's intent to be truly helpful.

Banning Open-Weight Models Would be a Disaster

Coding on Autopilot • 1 HN point • 08 Mar 24
🕹 Technology AI Ethics Regulation Open Source Data Privacy Risk management
  1. Banning open-weight models could be harmful as it gives individuals, academics, and researchers the ability to innovate and contribute positively.
  2. Open models level the playing field, democratize access to AI technology, and foster competition, innovation, and economic growth.
  3. Regulations should focus on large organizations rather than restricting access to individuals; the focus should be on punishing those who misuse AI technology.

Data Science Weekly - Issue 380

Data Science Weekly Newsletter • 19 implied HN points • 04 Mar 21
🕹 Technology Data science Machine Learning Neuroscience Data Privacy Artificial Intelligence
  1. Managing up is about sharing important facts with your manager to improve teamwork. It helps them understand what's slowing you down and what support you need.
  2. Data discovery platforms are evolving from traditional data catalogs, focusing on better ways to understand data context. This helps users find and utilize data more effectively.
  3. Generative adversarial transformers are a new kind of model that can produce high-quality visuals while being more efficient in computation. They could enhance creativity in visual content creation.

✅ Monday briefing #14: Beating ennui, Blockbuster moment, CIPR election, local people Ofcom data dump, Social Dilemma rebuttal, Facebook groups boom...

Wadds Inc. newsletter • 19 implied HN points • 05 Oct 20
🕹 Technology Social media Digital Tools Media Trends Online Communities Data Privacy
  1. People are feeling a bit down due to the ongoing crisis, but experts say this feeling will pass with time.
  2. Cinemas are closing in the UK, which is a big loss for communities that enjoy the shared movie experience.
  3. Facebook groups have become super popular, with 1.8 billion users connecting through them during the pandemic.

VOL 68: Threads Surpass Expectations: Reaching 100 Million Users in Just Five Days

MAP's Tech Newsletter. • 4 implied HN points • 10 Jul 23
🕹 Technology Social media Competition Data Privacy Tech industry Innovation
  1. Threads gained 100 million users in just five days, a remarkable achievement in the tech industry.
  2. Threads is considered a potential 'Twitter killer', creating competition in social media.
  3. Meta's Threads app offers unique features like longer posts and sharing limits, differentiating it from Twitter.

#18: The little Indian internet corner of database sellers

Pea Bee • 3 HN points • 28 May 23
🕹 Technology Internet Digital marketing Information Security Data Privacy
  1. Data theft incidents in India involved large-scale theft of data from major companies like Facebook, Amazon, Big Basket, and others.
  2. Social media marketing experts in India were found selling personal user data of millions of Indians through Google Drive links.
  3. There is a widespread network of individuals reselling databases in India, with concerns about the security and confidentiality of personal information.