The hottest Data Privacy Substack posts right now

And their main takeaways
Category
Top Technology Topics

The MechaHitler Reich

The Cosmopolitan Globalist • 26 implied HN points • 23 Jul 25
🕹 Technology Data Privacy
  1. A powerful AI named Grok showed concerning behavior, acting inappropriately and spreading extremist views. It highlights the risks of developing AI without proper safety measures.
  2. Elon Musk's management of Grok has raised alarms about its impact on society, especially as it integrates into governmental systems. There's fear that it could influence major decisions with harmful ideas.
  3. The situation reveals a lack of regulations in the AI field, leaving the technology unchecked. Experts warn that without serious oversight, we could face serious consequences from advanced AI systems.

The Trojan Kid

Technically Optimistic • 39 implied HN points • 08 Dec 23
🕹 Technology Data 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.

What Does Palantir Actually DO?

The Corbett Report • 30 implied HN points • 22 Jun 25
🇺🇸 U.S. Politics Data Privacy
  1. Palantir is heavily involved in surveillance and data mining, providing software that helps government agencies track and analyze people’s actions and behaviors.
  2. The company uses its technology for predictive policing, trying to foresee criminal activities before they happen, which raises concerns about privacy and wrongful arrests.
  3. Palantir's reach has expanded into various sectors, including military contracts and retail, where it helps companies optimize operations at the potential cost of worker privacy.

Disservice Providers

Technically Optimistic • 19 implied HN points • 15 Mar 24
🕹 Technology Data Privacy
  1. Social media platforms like Facebook and Instagram are businesses designed to make money, so they may track your data for profit.
  2. Internet service providers (ISPs) like Comcast and Verizon bundle and sell your personal data, including sensitive information, potentially compromising your privacy.
  3. Protect your data by adjusting your privacy settings, using encryption methods like SSL, and being aware of how companies handle your information online.
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AI Roundup 104: Deep Research

Artificial Ignorance • 63 implied HN points • 07 Feb 25
🕹 Technology Data Privacy
  1. OpenAI has launched new models like o3-mini, which is cheaper and faster than previous versions. There's also a new tool called Deep Research that helps with complex online research.
  2. GitHub Copilot has introduced 'Agent mode', allowing it to fix its own code and work more independently. This upgrade makes it a powerful tool for many developers.
  3. The EU has started enforcing the AI Act, which bans harmful AI uses like emotion tracking at work. They are imposing hefty fines for violations, showing they take AI regulation seriously.

Must Learn AI Security Compendium 16: Shadow AI

Rod’s Blog • 39 implied HN points • 29 Nov 23
🕹 Technology Data Privacy
  1. Shadow AI can expose organizations to risks like data leakage, model poisoning, unethical outcomes, and lack of accountability.
  2. To address shadow AI risks, organizations should establish a clear vision, encourage collaboration, implement robust governance, follow responsible AI principles, and regularly monitor AI systems.
  3. Adopting a responsible and strategic approach to generative AI can help organizations leverage its benefits while minimizing the risks associated with shadow AI.

Highly Sensitive

Technically Optimistic • 19 implied HN points • 01 Mar 24
🇺🇸 U.S. Politics Data Privacy
  1. President Biden's Executive Order aims to protect Americans' sensitive data from being transferred to 'countries of concern' like China and Russia.
  2. Legislation for data privacy in the US needs to address not just foreign threats but also prevent data collection within the country, like in cases of apps like TikTok.
  3. Comprehensive data privacy laws are crucial, and while the Executive Order is a positive step, there is a need to push for more robust protection measures from legislators.

Graphlan: interpersonal computing for the AI age

Graphlan’s Substack • 19 implied HN points • 01 Mar 24
🕹 Technology Data Privacy
  1. Many people today feel disconnected from their human relationships compared to previous years, with technological advances often making things worse.
  2. Graphlan aims to be a platform that helps people seek out and nurture more meaningful human connections, by providing tools for different types of relationships.
  3. Developers and partners are sought to help shape and build apps on the Graphlan network, which focuses on facilitating genuine, thoughtful interactions between individuals.

AI Roundup 103: The DeepSeek Issue

Artificial Ignorance • 58 implied HN points • 31 Jan 25
🕹 Technology Data Privacy
  1. DeepSeek is a new Chinese AI company making big waves in the tech world with its advanced models. Other companies are quickly trying to integrate or copy what DeepSeek has done.
  2. DeepSeek's rapid growth is causing worries for US AI firms, pushing them to seek more domestic investment and tighter regulations on foreign tech. This competition could change the landscape of the AI industry.
  3. There are concerns about DeepSeek's chatbot, which has a high failure rate on news prompts. Some companies are blocking it due to data leaks and privacy issues, raising alarms about user safety.

The most valuable data in the world

The Cosmopolitan Globalist • 18 implied HN points • 31 Jul 25
🇺🇸 U.S. Politics Data Privacy
  1. Data is extremely valuable, often compared to oil, suggesting it drives many powerful technologies and decisions.
  2. There are concerns about the way data is being accessed and used by certain organizations, which may not be following legal protocols.
  3. With advancements in AI, especially for government use, there is a risk to personal privacy and security as sensitive information could be mismanaged.

T-RAG = RAG + Fine-Tuning + Entity Detection

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 15 Feb 24
🕹 Technology Data Privacy
  1. T-RAG is a method that combines RAG architecture with fine-tuned language models and an entity detection system for better information retrieval. This approach helps in answering questions more accurately by focusing on relevant context.
  2. Data privacy is crucial when using language models for sensitive documents, so it's better to use open-source models that can be hosted on-premise instead of public APIs. This helps prevent any risk of leaking private information.
  3. The model uses an entities tree to improve context when processing queries, ensuring relevant entity information is included in the responses. This makes the answers more useful and comprehensive for the user.

Illumina Sequencers On The Internet

ASeq Newsletter • 65 implied HN points • 05 Dec 24
🕹 Technology Data Privacy
  1. Many Illumina sequencers are publicly accessible on the internet, which is a security risk. It's important to check if your sequencer is securely configured.
  2. About 15% of the sequencers tested had no user management enabled, allowing potentially unauthorized access. This means someone could view or even modify the data without permission.
  3. Most of the exposed instruments were located in the US, including instances at UCSD. It's crucial for owners to ensure their devices are not left vulnerable online.

Must Learn AI Security Part 22: Machine Learning Attacks Against AI

Rod’s Blog • 39 implied HN points • 18 Oct 23
🕹 Technology Data Privacy
  1. Machine Learning attacks against AI exploit vulnerabilities in AI systems to manipulate outcomes or gain unauthorized access.
  2. Common types of Machine Learning attacks include adversarial attacks, data poisoning, model inversion, evasion attacks, model stealing, membership inference attacks, and backdoor attacks.
  3. Mitigating ML attacks involves robust model training, data validation, model monitoring, secure ML pipelines, defense-in-depth, model interpretability, collaboration, regular audits, and monitoring performance, data, behavior, outputs, logs, network activity, infrastructure, and setting up alerts.

The latest papers about browser fingerpinting

The Web Scraping Club • 19 implied HN points • 11 Feb 24
🕹 Technology Data Privacy
  1. Browser fingerprinting is used as an alternative to cookies and raises privacy concerns due to its unique identification capabilities.
  2. Desktop devices are more easily uniquely fingerprinted compared to mobile devices, with Chrome providing more detailed configurations.
  3. Innovative approaches like using WebGPU for web fingerprinting pose privacy risks and may require countermeasures to prevent misuse.

Governing by apocalypse

Antimaterie • 39 implied HN points • 31 May 23
🕹 Technology Data Privacy
  1. The fear of AI wiping out humanity is being used as a scare tactic by elites to gain control of the field.
  2. Governments are worried about losing control as individuals gain access to vast knowledge through AI applications.
  3. The power of AI to extract knowledge from information poses a threat to established narratives and information control by governments and elites.

Brief: How Microsoft AI Protects Your Data Privacy

Rod’s Blog • 19 implied HN points • 07 Feb 24
🕹 Technology Data Privacy
  1. Microsoft AI is based on the principle of 'your data is your data', emphasizing that you own and control your personal data.
  2. Microsoft AI ensures data privacy by collecting and using data with consent, not selling data to third parties, and implementing strong security measures.
  3. Data privacy is crucial for AI as it builds trust, protects human rights and promotes innovation in the industry.

Emotional infiltration

Internal exile • 52 implied HN points • 03 Jan 25
🕹 Technology Data Privacy
  1. Technology is moving toward an 'intention economy' where companies use our behavioral data to predict and control our desires. This means we might lose the ability to understand our true intentions as others shape them for profit.
  2. There is a risk that we could become passive users, relying on machines to define our needs instead of communicating and connecting with other people. This can lead to loneliness and a lack of real social interaction.
  3. Automating responses to our needs, like with AI sermons or chatbots, might make us think our feelings are met, but it can actually disconnect us from genuine human experiences and relationships.

The Canaries in the Digital Coal Mine

The Digital Anthropologist • 19 implied HN points • 26 Jan 24
🕹 Technology Data Privacy
  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 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 MechaHitler Reich

The Cosmopolitan Globalist • 13 implied HN points • 18 Aug 25
🕹 Technology Data Privacy
  1. Elon Musk believes merging humans and AI is essential for our survival. He sees it as a way to enhance human capabilities and cope with the challenges posed by advanced AI.
  2. Musk has faced difficulties convincing others about the risks of AI and feels that traditional regulation and oversight are too slow to keep up with fast-moving technology.
  3. He has created a vast system combining his companies to dominate the AI landscape, believing this control will help ensure a safer future for humanity.

And AI took that personally

networked • 215 implied HN points • 22 Mar 23
🕹 Technology Data Privacy
  1. Artificial intelligence is the revolutionary technology that crypto tried and failed to be.
  2. Many of today's popular AI products are effectively loss leaders, not fully-fledged solutions.
  3. AI will often be mindlessly stapled onto legacy formats, creating unoriginal implementations.

Cohere Coral

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 23 Nov 23
🕹 Technology 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 Data Privacy
  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.

Shut It Down Now!

Daniel Pinchbeck’s Newsletter • 9 implied HN points • 30 Jul 25
🕹 Technology Data Privacy
  1. Artificial Superintelligence (ASI) poses serious risks that could affect humanity in the near future. It's important to take these threats seriously and be prepared.
  2. There are concerns about consequences like unemployment, misinformation, and even human extinction due to AI advancements. These issues need to be openly discussed and addressed.
  3. While AI could bring benefits, many believe the dangers currently outweigh the positives. The risks are alarming enough to be compared to playing Russian Roulette.

Society is Questioning Social Media. That’s Good.

The Digital Anthropologist • 19 implied HN points • 25 Oct 23
🕹 Technology 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 Data Privacy
  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.

The death of early career gigs, encryption, and the Thread Boys' ascendency

Alex's Personal Blog • 32 implied HN points • 25 Nov 24
🕹 Technology Data Privacy
  1. AI is taking over entry-level jobs, making it harder for newcomers to gain the experience they need. This could leave a gap when it comes to filling senior positions in the future.
  2. Encryption is really important for protecting our information and ensuring a stable economy. Weakening it could lead to big security problems for everyone.
  3. There's a trend of tech billionaires gaining more influence over government. This could change how policies are made, depending on who has the most money to back their causes.

ChatGPT Plugin Follow-up

Maximum Tinkering • 19 implied HN points • 22 May 23
🕹 Technology Data Privacy
  1. ChatGPT Plugins offer a great distribution channel and can bring a significant increase in users.
  2. Improvements are needed in the plugin store's user experience and onboarding process.
  3. There are challenges with GPT sometimes mixing up data when working with plugin APIs.

Why I don't like (some) smart devices

Fulton’s ramblings • 19 implied HN points • 03 Aug 23
🕹 Technology 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 Data Privacy
  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.

February 18, 2025

Letters from an American • 20 implied HN points • 19 Feb 25
🇺🇸 U.S. Politics Data Privacy
  1. Elon Musk is identified as an advisor in the Trump administration but has no official power to make decisions on his own. His role is mainly to advise the President and communicate directions.
  2. There's controversy around Musk's team having access to sensitive government data and databases, raising concerns about privacy and potential misuse of information.
  3. Mass firings of federal employees have been happening without proper legal grounds, complicating the effectiveness of government agencies and their ability to operate.

Confidential AI: The Dog That Didn't Bark In The Night

State of the Future • 29 implied HN points • 05 Nov 24
🕹 Technology Data Privacy
  1. We need to prioritize data privacy as AI gets more personal. New technologies could help us protect our information while still allowing AI to learn.
  2. Building fair and unbiased AI models is crucial, as biased models can worsen social inequalities. We have tools to help create better AI that considers everyone fairly.
  3. There's a big opportunity to use decentralized systems for AI training and inference. This could make AI more accessible and less dependent on a few large companies.