The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

20251231 A yearly review

Curious futures (KGhosh) • 4 implied HN points • 31 Dec 25
🕹 Technology AI Robotics Privacy Cybersecurity Workforce Health tech
  1. AI is shifting from a tool into a thinking partner that changes how we create, work, and decide; we must keep human skills alive and build ethics, transparency, and rules so people stay in control.
  2. Environmental risk has moved from awareness to crisis — thawing carbon stores, water shortages, and strained infrastructure are happening now — so bold policy and practical tech choices (like geothermal and local resilience) are needed immediately.
  3. Trust and social cohesion are eroding as privacy risks, misinformation, economic insecurity, and political polarization spread, so rebuilding trust through transparency, fair access, and stronger community and cultural support is essential.

Today’s Top 5 HN posts

Top 5 HN Posts of the day • 19 implied HN points • 31 Mar 24
🕹 Technology Software Analysis Job Opportunities
  1. The post shares the top 5 HackerNews posts for the day, providing a quick glimpse of interesting tech topics being discussed.
  2. Each of the top posts have direct links to read the full content and engage with the HackerNews community.
  3. In addition to the top posts, there is a bonus section featuring a job opportunity for a Founding Engineer role at a technology startup.

September/October 2023 safety news: Sparse autoencoders, A is B is not B is A, Image hijacks

AI safety takes • 58 implied HN points • 17 Oct 23
🕹 Technology Machine Learning AI Ethics Cybersecurity Deception Artificial Intelligence
  1. Research shows that sparse autoencoders are being used to find interpretable features in neural networks.
  2. Language models have shown a struggle in learning reversals like 'A is B' vs 'B is A', highlighting challenges in their training.
  3. There are concerns and efforts to tackle AI deception, with studies on lie detection in black-box language models.

Months Late Game Review, Part 2. ... Zelda: Tears of the Kingdom. Some Bad Things.

The Bottom Feeder • 315 implied HN points • 07 Sep 23
🕹 Technology Gaming Design Criticism Storytelling Inventory Management
  1. Deep criticism of games may not always engage a wide audience.
  2. Critiquing games can help keep design skills fresh and provide valuable design exercises.
  3. Large games like Zelda: Tears of the Kingdom may have flaws, such as excessive encounter reuse and key plot elements revealed too early.
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Core 4 fails the vanity metric test

Dev Interrupted • 28 implied HN points • 24 Jul 25
🕹 Technology Software Development Metrics Productivity Consulting Engineering Leadership
  1. Not all metrics are useful. Some, like the Developer Experience Index, are hard to understand and can't show real improvement, making them less valuable for teams.
  2. It's important to focus on clear, actionable metrics. Rather than following complex frameworks, using simple and proven methods can help teams improve effectively.
  3. Measuring too much can lead to inaction. Organizations should spend more time improving their processes and less time on endless metrics and reports.

Databricks just dropped an LLM bomb – DBRX 💣

Sector 6 | The Newsletter of AIM • 19 implied HN points • 31 Mar 24
🕹 Technology AI Software Data science Open Source Machine Learning
  1. Databricks has released a new powerful open-source language model called DBRX. It aims to outperform existing models in areas like reasoning, coding, and math.
  2. DBRX has shown better performance than other popular models, including Meta’s LLaMA and Google's Gemini Pro. This showcases Databricks' advancements in AI technology.
  3. The release is generating excitement in the AI community, highlighting the competitive landscape of language models and their capabilities.

The "Kill Chrome Olympics" Has Started

Alex's Personal Blog • 32 implied HN points • 10 Jul 25
🕹 Technology AI Software Internet Tech Trends
  1. Competition in AI is heating up, with new models like Grok 4 emerging and pushing the boundaries of what's possible. This is exciting for anyone wanting better and cheaper AI tools.
  2. The costs for advanced AI subscriptions are rising, with new entries charging up to $300 a month. This might surprise people since we usually hear that AI is getting cheaper.
  3. There are new players in the browser market, making it a competitive landscape. Google, while a giant in the field, faces challenges as it balances innovation with protecting its current profits.

Farewell to the Safe Space

Technically Optimistic • 59 implied HN points • 13 Oct 23
🕹 Technology Privacy AI Ethics Surveillance Data
  1. Utilizing AI for memory recall, like with Rewind AI, can be a beneficial tool for enhancing memory capabilities.
  2. There is a constant trade-off between personalization and privacy in the digital space, raising questions about the extent of data individuals are willing to share for customization.
  3. Emerging technologies such as surveillance devices and advanced software like Rewind AI prompt discussions on privacy expectations and the need for clear regulations to safeguard personal data.

Developer security education products are pointless

Frankly Speaking • 254 implied HN points • 19 Dec 23
🕹 Technology Security Training Developers Education
  1. Developer security education products are seen as features, not platforms or products.
  2. There is a growing importance on in-depth security education for developers, especially in regulated industries.
  3. Developer security education focuses on teaching developers how to identify vulnerabilities and adopt secure development practices, often following the OWASP Top 10 guidelines.

Prompt engineering is spaghetti code

Sunday Letters • 59 implied HN points • 08 Oct 23
🕹 Technology AI Software Programming Computing Optimization
  1. Prompt engineering is not a lasting software discipline; it may fade away as technology improves. It's a reaction to a lack of computing resources, trying to make every use of AI efficient.
  2. Using AI tools should be approached like programming: break tasks into smaller pieces to handle them better. This is more effective than creating complex prompts that are hard to manage.
  3. It's better to focus on making something work well before worrying about cost or optimization. Don't stress about minimizing resource use until the solution is working reliably.

Kosmik Year in Review

Kosmik’s Newsletter • 39 implied HN points • 26 Dec 23
🕹 Technology Software Web Development Funding Team Management Product Design
  1. Kosmik 2.0 aims to be a desktop in the cloud, providing an environment where users can organize files and tools in a more visual and collaborative way.
  2. The concept of a digital desktop is changing, with a shift towards cloud-based storage and a need for a more flexible and fluid way to organize files and assets.
  3. Kosmik is evolving as a product, with a focus on web technologies to improve speed, product quality, and roadmap, along with securing funding to ensure long-term growth and development.

Must Learn AI Security Compendium 10: Challenges of Enhancing AI Language Models with External Knowledge

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology AI Security Machine Learning Software Data Privacy
  1. Retrieval-Augmented Generation (RAG) enhances AI language models by combining them with external knowledge sources, improving the quality and accuracy of generated responses.
  2. RAG offers benefits such as access to current information, increased contextual understanding, and reduced risk of incorrect data, but it also comes with challenges like data integration and semantic relevance.
  3. The future of RAG includes developments like fine-grained relevance ranking, domain-specific knowledge bases, real-time updates, and ethical considerations to ensure responsible use.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Advanced Persistent Threats (APTs) with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology Security Cloud Computing Data Analytics Automation Threat Detection
  1. Advanced Persistent Threats (APTs) are stealthy and sophisticated cyberattacks that aim to gain unauthorized access and remain undetected for prolonged periods, typically orchestrated by skilled threat actors like nation-state groups or cybercrime syndicates.
  2. Microsoft Sentinel provides a cloud-native Security Information and Event Management (SIEM) solution that offers intelligent security analytics, threat intelligence, and the ability to collect and analyze data at scale.
  3. To combat APTs effectively, organizations can utilize Microsoft Sentinel to connect data sources, use workbooks for monitoring, analytics rules for correlating alerts into incidents, playbooks for automating common tasks, and hunting queries for proactively searching for threats.

GPT-4’s Placeholder Problem: A Case Study of GPT-4 Fake Data Presented as Fact

Data at Depth • 39 implied HN points • 26 Dec 23
🕹 Technology AI Data
  1. GPT-4 can find and present information in various formats based on how you ask it to, whether as a paragraph, a chart, or even a poem.
  2. The issue highlighted is GPT-4 presenting data as facts, raising concerns about the accuracy and authenticity of information generated by AI models.
  3. The post emphasizes the importance of being vigilant and critical when consuming information generated by AI like GPT-4.

Edge 458: From Pre-training to Post-training. Inside the Amazing Tülu 3 Framework

TheSequence • 91 implied HN points • 19 Dec 24
🕹 Technology AI Machine Learning Frameworks Open Source Data Training
  1. There is a new focus in AI from pre-training models to post-training methods. This change is happening because it's now easier to train models with data from the internet.
  2. The Tülu 3 framework is designed to improve existing language models after their initial training. It highlights how important the post-training process is for making models work better.
  3. By making post-training techniques more open and accessible, Tülu 3 aims to help the open-source community compete with top-performing private models.

Some True Innovation

startupdreams • 211 implied HN points • 16 Mar 24
🕹 Technology Space Exploration
  1. SpaceX's successful launch of Superheavy/Starship for the third time has proven its capability to carry 120 tons and burn stages for orbit insertion.
  2. SpaceX's use of Starlink for communication with spacecraft moving at orbital speeds is a groundbreaking feat, providing reliable high-speed communication in space.
  3. The ability of Starlink to communicate with moving objects at incredible speeds, like orbital spacecraft, showcases a major advancement in digital radio communication technology.

Microsoft Sentinel SOC 101: How to Detect and Mitigate a DNS Spoofing Attack with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 11 Oct 23
🕹 Technology Security Cloud Computing Cybersecurity Threat Detection Automation
  1. DNS spoofing, also known as DNS cache poisoning, can lead to serious consequences like compromising credentials and exposing confidential information.
  2. Microsoft Sentinel is a cloud-native SIEM solution that offers benefits like intelligent security analytics, scalability, and cost reduction compared to legacy solutions.
  3. To detect and mitigate DNS spoofing attacks using Microsoft Sentinel, you can leverage features like built-in connectors, workbooks for monitoring data, analytics rules, playbooks for automated workflows, and custom logic creation.

🔮 Launching State of the Future_The Worlds First Deep Tech Tracker #001

Let Us Face the Future • 218 implied HN points • 24 May 23
🕹 Technology Deep Tech Artificial Intelligence Quantum Computing Data Infrastructure Startups
  1. State of the Future is a deep tech tracker covering a wide range of technologies like computer vision, generative AI, and quantum hardware.
  2. The three main trends identified in the future include solving productivity paradox, the shift from software in digital world to real world, and having optimism for the future.
  3. Important news includes suppressing quantum errors, challenges faced by Amazon's drone delivery project, and closures of vertical farming startups due to high costs.

OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model

Democratizing Automation • 221 implied HN points • 16 Feb 24
🕹 Technology AI Models ML Video Innovation
  1. OpenAI introduced Sora, an impressive video generation model blending Vision Transformer and diffusion model techniques
  2. Google unveiled Gemini 1.5 Pro with nearly infinite context length, advancing the performance and efficiency using the Mixture of Expert as the base architecture
  3. The emergence of Mistral-Next model in the ChatBot Arena hints at an upcoming release, showing promising test results and setting expectations as a potential competitor to GPT4

The Silent Infrastructure Behind AI: Why Vector Databases Are Booming

philsiarri • 22 implied HN points • 21 Aug 25
🕹 Technology AI Databases Software Emerging Tech Data science
  1. Vector databases store information in a way that captures meaning, helping AI search for similarities instead of exact matches. This means a sentence or an image can be turned into a special numeric form that AI understands better.
  2. Traditional databases are good for exact searches but struggle with the complex needs of AI. Vector databases are designed for quick and efficient searches involving high-dimensional data, making them much better for AI applications.
  3. Many companies like Pinecone and Weaviate are leading the way in vector databases, which are being used in various areas like e-commerce, fraud detection, and customer support to improve how we find and use information.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Session Token Stealing Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 06 Oct 23
🕹 Technology Cybersecurity Data Analytics Cloud Computing Threat Detection Automation
  1. Session token stealing attacks can lead to unauthorized access, data theft, account takeover, and other malicious activities.
  2. To detect session token stealing attacks, Microsoft Sentinel offers a comprehensive solution using advanced analytics, threat intelligence, and automation.
  3. Mitigate session token stealing by using HTTPS encryption, secure cookies, short-lived session tokens, strong passwords, multifactor authentication, and other security measures.

I AM AI

Rod’s Blog • 59 implied HN points • 15 Aug 23
🕹 Technology AI Data Ethics Security Training
  1. President Biden made headlines by saying 'I am AI', creating confusion and criticism, despite NVIDIA previously using the phrase for marketing.
  2. The statement 'I am AI' is viewed as clever and may spark important discussions about artificial intelligence's impact on society and responsibility.
  3. Humans are connected to the creation and control of AI, emphasizing that the responsibility lies with us to shape AI's future.

Using Kali Linux and Hydra for Attack Testing and Alert Generation

Rod’s Blog • 59 implied HN points • 15 Sep 23
🕹 Technology Security Operating Systems Ethical Hacking
  1. Hydra is a powerful open-source tool used for cracking passwords in various network services like telnet, FTP, HTTP, etc.
  2. Kali Linux is a specialized operating system designed for penetration testing and comes pre-installed with tools like Hydra.
  3. It is crucial to use tools like Hydra ethically and with proper authorization to perform effective security assessments and improve system security.

Must Learn AI Security Part 19: Deepfake Attacks Against AI

Rod’s Blog • 59 implied HN points • 02 Oct 23
🕹 Technology AI Security Machine Learning Cybersecurity Artificial Intelligence
  1. Deepfake attacks against AI involve using fake videos or audios created by AI to deceive AI systems into making harmful decisions.
  2. Types of deepfake attacks include adversarial attacks, poisoning attacks, and data injection attacks, each with different strategies to compromise AI systems.
  3. To mitigate AI-generated deepfake attacks, organizations should focus on data validation, anomaly detection, AI model monitoring, and ongoing training to protect against potential financial, political, or personal gains by attackers.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Man/Adversary-in-the-Middle (MitM/AitM) Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 29 Sep 23
🕹 Technology Cybersecurity Network Security Incident Response Machine Learning
  1. Man-in-the-Middle attacks are serious cyber threats that can lead to data breaches and financial loss for organizations.
  2. Microsoft Sentinel is a powerful tool that leverages AI, machine learning, and integration with Microsoft Defender for Endpoint to detect and mitigate Man-in-the-Middle attacks effectively.
  3. Implementing best practices such as using secure communication protocols, regular system updates, multi-factor authentication, and employee training can further enhance network security against Man-in-the-Middle attacks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Cross-Site Scripting (XSS) Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 21 Sep 23
🕹 Technology Cybersecurity Cloud Computing Web Security Threat Detection
  1. XSS attacks can be classified into three main types: Stored XSS, Reflected XSS, and DOM-based XSS, each with unique methods of execution and potential risks.
  2. To effectively detect and mitigate XSS attacks, it's crucial to understand common attack vectors like input fields, URL parameters, cookies, HTTP headers, and third-party scripts.
  3. A combination of Azure Web Application Firewall (WAF) and Microsoft Sentinel offers robust protection against XSS attacks, providing tools for detection, investigation, and response.

Must Learn AI Security Part 12: Reward Hacking Attacks Against AI

Rod’s Blog • 59 implied HN points • 13 Sep 23
🕹 Technology AI Security Reinforcement Learning
  1. Reward Hacking attacks against AI involve AI systems exploiting flaws in reward functions to gain more rewards without achieving the intended goal.
  2. Types of Reward Hacking attacks include gaming the reward function, shortcut exploitation, reward tampering, negative side effects, and wireheading.
  3. Mitigating Reward Hacking involves designing robust reward functions, monitoring AI behavior, incorporating human oversight, and using techniques like adversarial training and model-based reinforcement learning.

Must Learn AI Security Part 13: Generative Attacks Against AI

Rod’s Blog • 59 implied HN points • 15 Sep 23
🕹 Technology AI Security Machine Learning Cybersecurity Digital Security
  1. Generative attacks against AI involve creating or manipulating data to deceive AI systems, compromising their performance and trustworthiness.
  2. Defending against generative attacks requires understanding the target AI system, identifying vulnerabilities, and developing robust AI models and defense mechanisms.
  3. Types of generative attacks include adversarial examples, data poisoning, model inversion, trojan attacks, and GANs based attacks, each with unique approaches and potential negative effects on AI systems.

Must Learn AI Security Compendium 6: Ensuring Trust and Ethical Practices

Rod’s Blog • 59 implied HN points • 26 Sep 23
🕹 Technology AI Ethics Security Transparency Governance
  1. Responsible AI requires prioritizing ethical practices to avoid risks and gain trust from users and stakeholders.
  2. Irresponsible AI practices can lead to unfair bias, lack of transparency, privacy concerns, and negative social impacts.
  3. Organizations can implement responsible AI by prioritizing human-centeredness, fairness, transparency, privacy, accountability, continuous monitoring, and collaborative engagement.

Must Learn AI Security Compendium 3: Exploring the Different Types of AI Technology

Rod’s Blog • 59 implied HN points • 12 Sep 23
🕹 Technology AI Applications Challenges Types Future
  1. AI can be categorized into Narrow AI, General AI, and Super AI based on capabilities, each with different levels of human-like intelligence.
  2. AI can also be classified based on functionality into Reactive Machines, Limited Memory, Theory of Mind, and Self-awareness, each with unique ways of processing information and interacting with the environment.
  3. Applications of AI in various industries like healthcare, finance, transportation, and retail are transforming decision-making, efficiency, and innovation, but ethical considerations and challenges like data quality and interpretability must be addressed for responsible AI development.

Must Learn AI Security Compendium 5: The Rise of AI in the IT Sector

Rod’s Blog • 59 implied HN points • 20 Sep 23
🕹 Technology AI IT Security Productivity Ethics
  1. Artificial Intelligence is revolutionizing the IT sector, with the rise of models like ChatGPT expanding its potential applications.
  2. AI enhances productivity by speeding up tasks that would otherwise take hours, like code generation using PowerShell scripting with generative AI.
  3. AI fosters creativity and innovation, such as in content creation and marketing, and requires ethical considerations for responsible development.

Data Deep Dive: Predicting China's Exports Using AIS Vessel Tracking Data (+ Other Uses)

The Data Score • 59 implied HN points • 28 Jun 23
🕹 Technology Data Analysis Risk management Supply Chain
  1. AIS vessel tracking data can predict China's exports, monitor global trade, and understand real-time economic activity.
  2. Data cleansing is crucial for turning raw AIS data into actionable insights. Cleaning the data involves filtering out anomalies and ensuring accuracy.
  3. It's important to consider limitations like the exclusive focus on large commercial ships, uncertainties in cargo data, and vessel behavior anomalies when analyzing AIS data.