The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Công cụ giải mã WannaCry

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 18 May 17
🕹 Technology Security Software Operating Systems Cryptocurrency
  1. A simple idea was implemented to find decryption keys in memory, useful for recovering WannaCry-encrypted data without paying ransom.
  2. Decryption keys might still be accessible in memory on Windows XP machines infected with WannaCry that haven't been shut down since the infection occurred.
  3. If unable to recover decryption keys from memory, the alternative is to pay ransom in Bitcoin, negotiate with the attackers, or seek help to purchase Bitcoin for ransom payment.

Trả lời phỏng vấn đài Châu Á Tự Do về OceanLotus

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 18 May 17
🕹 Technology Cybersecurity Hacking Espionage National Security
  1. Hacker working for a government have advantages like funding and time, they target political dissenters and sabotage in addition to monitoring individuals.
  2. A government-backed hacking group like OceanLotus targeting economic interests overseas marks a shift from traditional political targets.
  3. It's easier to hack into a system than to defend it; Vietnam's cybersecurity defenses have shown vulnerabilities over the years.

What Is The Future Of Prompt Engineering?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 26 Sep 23
🕹 Technology AI NLP Chatbots Enterprise Language Models
  1. Prompt engineering might not be the main way we interact with AI in the future. It seems we'll use more natural and voice-based communication instead.
  2. Understanding context and reducing ambiguity are key challenges in human-like conversations with AI. This helps the AI to provide better answers.
  3. For businesses, fine-tuning models and using tools like context references help improve AI responses. Both methods work together to make AI better.

On testing (EC)DH and (EC)DSA

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 11 Apr 17
🕹 Technology Network Security Cryptography Programming
  1. Validate domain parameters to ensure security in (EC)DSA and (EC)DH. In real-world applications, parameters are typically generated internally or selected from standard options.
  2. In (EC)DSA, if Mallory can manipulate domain parameters, key recovery becomes a potential issue. ECDSA could be vulnerable if the base point and curve are not properly validated.
  3. For (EC)DH security, thorough validation of domain parameters is crucial, especially in scenarios where parameters are chosen by a potentially untrusted source like in SSL handshake.

Progressive Web Apps

Code Solo • 0 implied HN points • 30 Mar 23
🕹 Technology Web Development Mobile APIs Browsers
  1. Progressive Web Apps are optimized websites that can run on mobile devices like native apps.
  2. PWAs can be installed without using the App Store, making it easier for developers to publish and update apps.
  3. Web APIs offer a wide range of functionalities for PWAs, but browser support, especially from Apple, can be limited.
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Week in Repair: News Highlights

Fight to Repair • 0 implied HN points • 03 Dec 21
🕹 Technology Tech news Right-to-repair Antitrust E-Waste Legislation
  1. Apple is planning to phase out older iPhone models like the iPhone 6 Plus, with a leaked report suggesting a move towards augmented reality devices by 2032.
  2. President Biden's economic advisers believe that the antitrust agenda will lead to economic growth by focusing on local business growth, worker wages, and right-to-repair rules for products like medical devices and tractors.
  3. Regulation may be necessary to tackle built-in obsolescence in printers and address the challenges of ownership as devices transition into services, with right-to-repair laws gaining momentum globally.

FIDO U2F: công nghệ xác minh hai bước chống phishing

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 30 Aug 16
🕹 Technology Security Authentication Internet Software Devices
  1. FIDO U2F is a two-step verification technology that is safer and easier to use compared to other similar technologies like SMS OTP or RSA SecurID.
  2. The advantages of FIDO U2F include safety, ease of use, open standards, and reasonable pricing.
  3. U2F technology eliminates the need for users to manually check website addresses, providing a technical solution to phishing attacks.

RAG & Fine-Tuning

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Sep 23
🕹 Technology Artificial Intelligence Machine Learning Natural Language Data science Software Development
  1. RAG, or Retrieval Augmented Generation, helps improve responses by adding relevant information to AI prompts. This makes the AI's answers more accurate and contextually appropriate.
  2. Fine-tuning adjusts the AI's behavior based on specific data, which can enhance its performance in certain fields like medicine or law. However, it may not always adapt well to unique user inputs.
  3. Using RAG alongside fine-tuning is the best approach. RAG is easier to implement and helps keep the AI's responses up-to-date while fine-tuning improves overall quality.

Sự cố Vietcombank, một góc nhìn kỹ thuật

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 16 Aug 16
🕹 Technology Security Banking Phishing Encryption Communication
  1. Vietcombank encountered a security incident involving a customer's stolen funds, prompting technical analysis and identification of potential attack methods like phishing and exploiting vulnerabilities in the Smart OTP system.
  2. Smart OTP, a feature of Vietcombank, was found to have vulnerabilities that could be exploited by attackers to gain control over customer accounts, highlighting the importance of robust security protocols in online banking systems.
  3. The importance of independent security audits, continuous monitoring, and prompt responsiveness to security reports is crucial for financial institutions like Vietcombank to safeguard customer data and prevent unauthorized access.

Không phải cứ "hàng khủng" là tốt (2)

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 26 Jul 07
🕹 Technology Performance Tuning
  1. Having 'hàng khủng' (powerful resources) isn't always good. Inappropriate use can lead to system issues like overloading.
  2. Hugepages in Linux provide benefits by reducing page table lookup time and ensuring non-swappable memory for important services.
  3. Understanding the tools and resources you are using thoroughly is crucial to avoid unintended consequences.

The Internet of Broken Protocols: Showcase #4

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 13 Aug 16
🕹 Technology Internet Protocols Security Encryption
  1. The protocol described in the text for generating one-time passwords has vulnerabilities that can allow attackers to gain unauthorized access.
  2. Using insecure communication channels for transferring sensitive information, like one-time passwords, can lead to security flaws.
  3. The importance of forward secrecy in protocols to prevent attacks like the reflection attack highlighted in the text.

The Internet of Broken Protocols: Showcase #3

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 12 Aug 16
🕹 Technology Security Protocols Encryption Cybersecurity
  1. The pairing protocol may be vulnerable to man-in-the-middle attacks due to how codes are exchanged.
  2. The unlocking process is weak as it uses the same challenge each time, making it easier for attackers to intercept and relay responses.
  3. Improving the protocol involves ensuring bidirectional unique challenges and considering time limits for exchanges to enhance security.

LLM Drift, Prompt Drift, Chaining & Cascading

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Sep 23
🕹 Technology AI Language Models Automation Data Management User Interaction
  1. LLM Drift refers to the changes in the responses of language models over time, where their accuracy can significantly decline.
  2. Prompt Drift happens when the same prompt gives different responses because of changes in the model or data, even if the prompt itself hasn't changed.
  3. Cascading occurs when errors from one part of a process affect subsequent parts, making issues worse as they go along.

The Internet of Broken Protocols: Showcase #2

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 11 Aug 16
🕹 Technology Security Encryption Internet of Things Certificates
  1. Devices in the Internet of Things (IoT) do not have easy-to-remember identifiers like domain names, affecting traditional authentication methods.
  2. Weaknesses in IoT protocol designs include lack of cryptographically bound data and forward secrecy, and susceptibility to known attacks like Bleichenbacher attack.
  3. Public key encryption used for authentication in IoT can be exploited through various attacks, highlighting the need for stronger security measures.

Automatic Prompt Engineering

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Sep 23
🕹 Technology AI NLP Data Automation Development
  1. Automatic Prompt Engineering (APE) creates prompts for text generation based on what you want as input and output. It helps make the process easier and faster.
  2. With APE, a computer can suggest the best prompts by testing different options and scoring them for quality. This reduces the need for a human to write every prompt manually.
  3. Using APE allows for better interaction with large language models by focusing on user intent and context. It makes conversations feel more natural and responsive.

LLM Drift

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 29 Sep 23
🕹 Technology AI Machine Learning Natural Language Data Analysis Research
  1. LLM Drift refers to big changes in how language models respond over a short time. This means their answers can differ quite a bit unexpectedly.
  2. Studies show that the accuracy of models like GPT-3.5 and GPT-4 can go up and down significantly in just a few months. Sometimes they get worse at certain tasks.
  3. It's important to keep checking how these models behave over time because their performance can shift for many reasons, not just from minor tweaks.

Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 11 Oct 23
🕹 Technology AI NLP Machine Learning Data science Computing
  1. Using Retrieval Augmented Generation (RAG) helps improve how language models work by allowing them to learn from additional, relevant data.
  2. RA-DIT is a new method that combines fine-tuning of the language model with updates to the retriever, making both more aligned and effective.
  3. A human approach to training the retriever with curated data ensures ongoing improvement and better responses in real conversations.

OpenAI Has Expanded Their Fine-Tuning GUI

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 11 Oct 23
🕹 Technology AI Software Data Development Privacy
  1. OpenAI now allows fine-tuning with just 10 records, making it easier and faster to personalize models.
  2. The new graphical user interface (GUI) simplifies the fine-tuning process, making it accessible to more users without needing extensive technical skills.
  3. Costs for fine-tuning have decreased significantly, allowing organizations of all sizes to create customized models.

A New Prompt Engineering Technique Has Been Introduced Called Step-Back Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 12 Oct 23
🕹 Technology AI NLP Data science Prompt engineering Machine Learning
  1. Step-Back Prompting helps Large Language Models find better answers by simplifying complex questions. It turns a detailed question into a more generic one that's easier to tackle.
  2. This technique can be combined with other methods to improve accuracy and effectiveness. It shows promise in fixing errors from traditional approaches.
  3. Using Step-Back Prompting requires careful thought and might work best with autonomous systems. It's a more advanced method compared to static prompting.

Salutations

I. Ron Leach's Facelifted Gaming • 0 implied HN points • 19 Jun 24
🕹 Technology Gaming Modding Vintage Tech advancements Artistry
  1. Facelifted Gaming showcases how enthusiasts enhance vintage video games with advanced technology and creativity.
  2. The blog highlights achievements like bringing PBR materials to classic games, HD mods for Diablo, renovating Dune II, and transforming Princess of Persia.
  3. By combining old games with modern tech and human ingenuity, Facelifted Gaming rekindles the magic of retro gaming with updated classics.

Hot Topics #23 (May 2, 2023)

The Merge • 0 implied HN points • 02 May 23
🕹 Technology ML Protein engineering
  1. Boosted Prompt Ensembles can enhance large language models' performance for reasoning
  2. Large language models like ChatGPT can excel in relevance ranking for Information Retrieval tasks
  3. Autonomous driving systems can be trained efficiently using deep RL without simulation or expert demonstrations

Coming soon

I. Ron Leach's Facelifted Gaming • 0 implied HN points • 12 Jun 24
🕹 Technology Gaming
  1. I. Ron Leach has a channel dedicated to facelifted, remastered, and updated videogames, whether they are retro or modern.
  2. The post teases a facelifted gaming project coming soon on facelifedgaming.substack.com.
  3. The author is inviting subscriptions to stay updated with the upcoming gaming content.

Large Language Model Landscape

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 16 Oct 23
🕹 Technology AI NLP Machine Learning Data science Software Development
  1. Large Language Models (LLMs) are evolving and diversifying, leading to the rise of Foundation Models that can handle various types of data like text and images. This means they can do more complex tasks now.
  2. There's a shift in how LLMs are used, with a focus on improving their functions like text analysis, speech recognition, and dialog generation. New techniques help these models perform better in their designated tasks.
  3. The market is seeing exciting new opportunities, especially in tools that help businesses use LLMs effectively, like data discovery and user-friendly interfaces. These tools can help companies tap into the potential of LLMs better.

Có một Biển Đông trên không gian mạng (tiếp theo và hết)

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 02 Aug 16
🕹 Technology Cybersecurity National Security Internet Governance Information Security
  1. Invest in building a team of highly skilled cybersecurity experts as the key to ensuring national cybersecurity.
  2. Enhance cybersecurity education in schools and public awareness through media to promote safe internet usage and protect against cyber threats.
  3. Establish a Trusted Computing Base to increase the integrity of components and develop solutions for secure communication channels.

LangSmith Hub By The Numbers

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 17 Oct 23
🕹 Technology AI NLP Chatbots Data Models
  1. LangSmith has four main parts: Projects, Data, Testing, and Hub. The first three are all about improving production, while Hub is for testing before launch.
  2. Chatbots are the most popular use case for using large language models, followed closely by summarization and questions and answers on documents.
  3. OpenAI leads the prompt count in the LangSmith Hub, followed by Anthropic and Google. This shows how important different models are when experimenting with prompts.

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Oct 23
🕹 Technology AI Chatbots Voicebots Natural Language Development
  1. The rise of voice technology is changing how chatbots work. Now, they need to handle voice calls and deal with more complex conversations.
  2. Large Language Models are improving chatbot efficiency. They help create training data and can also generate conversations more effectively.
  3. The chatbot market is becoming more complicated. Vendors must adapt to include voice interactions and advanced language processing to stay relevant.

Large Language Model (LLM) Stack — Version 5

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 20 Oct 23
🕹 Technology AI NLP Software Open Source Machine Learning
  1. More open-source LLM models are available, letting people experiment and innovate. This is creating new opportunities for developers to explore different applications.
  2. No-code fine-tuning dashboards are making it easier for users to customize LLMs without technical skills. This expands the functionality of LLMs in various fields.
  3. Basic LLMs are replacing older products, and some advanced models are more at risk in this competitive landscape. This shift highlights the need for improved chat interfaces and prompt engineering techniques.

LLMs & Contextual Demonstration

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 25 Oct 23
🕹 Technology AI Machine Learning Natural Language Data science Computing
  1. Large Language Models (LLMs) learn from examples in a method called few-shot learning. This means they can understand and perform tasks based on just a few demonstrations.
  2. The effectiveness of LLMs in learning depends on how the input is organized, the types of labels used, and the format in which information is presented. These factors really matter for good performance.
  3. Using good prompts can dramatically improve how well smaller models work, even if they initially seem weak. Proper prompt engineering helps in making these models more effective for various tasks.

🐿️ Inspector Gadget - The IPT Newsletter

Squirrel Squadron Substack • 0 implied HN points • 19 Aug 25
🕹 Technology Gadgets Software Engineering Systems Innovation
  1. Gadgets and systems often seem complicated and fragile, yet they work just enough to solve problems. This makes them remind us of funny cartoon inventions.
  2. Many technologies were built in a messy way, rather than being perfectly designed. This means they often need clever fixes to keep running smoothly.
  3. It's usually not a good idea to completely remake a working system. Instead, small updates and improvements help maintain its value without causing chaos.

Must Learn KQL Part 6: Interface Intimacy

Rod’s Blog • 0 implied HN points • 31 May 23
🕹 Technology Data Analysis User Interface Query Language Visualization
  1. Understanding the User Interface (UI) is crucial when starting with Kusto Query Language (KQL) as it provides a visual way to interact with the data.
  2. Filtering, sorting, grouping, selecting columns, and setting time ranges are important functions within the UI for manipulating and viewing data effectively.
  3. The UI also offers features like saving queries, sharing queries, formatting queries, exporting query results, creating alert rules, pinning visualizations, and utilizing keyboard shortcuts for efficient query development.

Must Learn KQL Part 3: Workflow

Rod’s Blog • 0 implied HN points • 31 May 23
🕹 Technology Data Analysis Security Query Language Workflow
  1. Understanding the workflow of a KQL query is crucial for developing your logic and ensuring query results capture the desired information.
  2. Focus on comprehending the query line-by-line rather than becoming a pro at creating KQL queries on day 1. What matters most are the results of the query in enhancing security efforts.
  3. Sharing KQL queries among colleagues and utilizing built-in capabilities in Azure can eliminate the need to create your own queries, emphasizing the importance of understanding the workflow.

The LangChain Implementation Of DeepMind’s Step-Back Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 26 Oct 23
🕹 Technology AI Software Programming Machine Learning NLP
  1. LangChain now has a way to use DeepMind's Step-Back Prompting, which helps improve how AI answers questions. It allows the AI to first rephrase a question into a simpler one before answering.
  2. This process involves creating examples to guide the AI on how to respond. The AI uses these examples to learn how to generate better questions and answers.
  3. You need some specific installations and an OpenAI API Key to try this out in a coding environment. Once set up, you can easily run the Step-Back Prompting in your projects.

Diffie & Hellman win the Nobel prize of computer science, yay!

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 02 Mar 16
🕹 Technology Computer Science Cryptography Internet Security Mathematics
  1. Diffie & Hellman won the Nobel prize in computer science for their groundbreaking work in cryptography.
  2. Their invention of Diffie-Hellman is a crucial component of internet security, used when connecting to major platforms like Google and Facebook.
  3. Despite its complexity, the math trick behind Diffie-Hellman is surprisingly simple and has remained unsolved for over 40 years.

#88

The Nibble • 0 implied HN points • 09 Dec 24
🕹 Technology AI Web Development Cryptocurrency Software Engineering Data Management
  1. Meta is planning to build a huge subsea cable to improve its data traffic capabilities around the world. This project would be quite large and expensive, but it's still in the early planning stages.
  2. OpenAI is launching updates over 12 days to share its latest advancements and features. It's a great way for them to keep the community informed about what's coming next.
  3. Vitalik Buterin has shared his thoughts on what a crypto wallet should include, highlighting the importance of security and privacy features. This is crucial for users who want to feel safe with their digital assets.