The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

How We Use Play To Adopt Technologies

The Digital Anthropologist • 0 implied HN points • 12 Jul 23
🕹 Technology Play Learning Socialization Entertainment Emerging technologies
  1. Play is a cultural tool that helps us adopt new technologies and understand where they fit in our lives and societies.
  2. Playing with technologies sparks imagination, leads to discovering new uses for them, and shows how they impact our social norms and behaviors.
  3. When a new technology emerges, playing with it is one of the first things we do, leading to social experimentation and learning about its capabilities.

Vietnam: A Hacker's Report

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 21 May 15
🕹 Technology Cybersecurity Tech industry Information Security Hacking Data Breaches
  1. Vietnam needs more and better engineers for information security, making certifications like Coursera and Udacity valuable.
  2. Buying turn-key security solutions and focusing on certifications like ISO 27001 may not ensure better security; training and recruiting engineers is crucial.
  3. Security engineers are key for system defense, small businesses can leverage cloud services, and end-to-end encryption is vital for sensitive data protection.

Khóa

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 19 Apr 15
🕹 Technology Security Design Business
  1. In designing home security, it's crucial for locks to allow easy escape from inside during emergencies.
  2. The primary function of a door should be to ensure safe exit for those inside, not just to prevent break-ins.
  3. When designing security systems, it's important to prioritize human usability and safety over extreme protection measures that could hinder escape during emergencies.

·͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙

Links I Would Gchat You If We Were Friends • 0 implied HN points • 19 Dec 14
🕹 Technology Data Internet Online Culture Social media E-commerce
  1. Infomania refers to hoarding digital content, which can be less funny due to privacy concerns.
  2. Some people have witnessed the development of social networking from its early days in the '90s.
  3. The Boston Globe reconstructed the life of Amazon's top reviewer who declined an interview.

Why Blockchain Remains in the Shadows

The Digital Anthropologist • 0 implied HN points • 01 Jul 23
🕹 Technology Blockchain Tech Adoption Regulation Energy consumption Innovation
  1. Blockchain struggles to gain cultural relevance due to human societies' operation with opacity and grey areas.
  2. Many people have limited understanding of blockchain technology, hindering its adoption outside of tech circles.
  3. The challenges facing blockchain include transparency issues, lack of scalability, technology debt, and dwindling investor attention compared to other tech sectors.
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The System Clashes of our Digital Age

The Digital Anthropologist • 0 implied HN points • 29 Jun 23
🕹 Technology Digital Age Artificial Intelligence Blockchain Social media
  1. We are currently experiencing significant systemic changes globally across various sectors due to the rapid advancement of digital technologies.
  2. Technological advancements, such as Artificial Intelligence, blockchain, and social media, are reshaping our societal, economic, and political systems, leading to both positive and negative outcomes.
  3. The role of technology in driving systemic changes is crucial, and while technology itself is neutral, it is how humans choose to use it that determines the impact on our sociocultural systems.

How The A.I. Industry Hurt Itself So Quickly

The Digital Anthropologist • 0 implied HN points • 26 Jun 23
🕹 Technology Artificial Intelligence Tech industry Ethics Market Impact
  1. Tech industry hype around A.I. led to overhyped tools and false promises, causing more harm than good in the A.I. industry.
  2. A healthy skepticism from industry leaders like CIOs and CTOs is crucial to see through marketing hype and focus on real technology benefits.
  3. Disillusionment with overhyped A.I. tools can lead to a more critical and realistic approach to technology development and consumer trust.

donotreply.com

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 21 Mar 08
🕹 Technology Internet Email Cybersecurity
  1. Some major organizations use 'donotreply.com' as the address in email 'From' fields, causing bounced emails to go to the owner of that domain.
  2. The owner receives internal documents and emails from these organizations, leading to threats of lawsuits from companies.
  3. The owner plans to register similar 'noreply' variations at popular email providers to observe the emails received.

Regulating A.I.? It’s Complicated.

The Digital Anthropologist • 0 implied HN points • 02 Jun 23
🕹 Technology AI Regulation Innovation Ethics Global impact
  1. Regulating AI is essential for society but complex, requiring a balance between innovation and oversight.
  2. Different countries have varying approaches to AI regulation based on values and governance systems.
  3. Regulating AI involves navigating challenges like privacy concerns, cultural impacts, and the need for complex systems thinking.

Data Leadership #2 Understanding Data Lake Architecture

The Orchestra Data Leadership Newsletter • 0 implied HN points • 08 Oct 23
🕹 Technology Data Management Cloud Computing Data Warehousing Data Analysis
  1. Understanding the architectural structure of data lakes is crucial for data leaders to make informed decisions on data storage.
  2. File formats play a significant role in data storage efficiency, querying capabilities, and overall costs in a data lake architecture.
  3. Choosing between data lake providers or data warehouses can be complex due to the influence of underlying technologies, like object stores and file formats.

What Are OpenAI Assistant Function Tools Exactly?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 10 Nov 23
🕹 Technology AI Software Programming Development Data
  1. OpenAI Assistant Function Tools help organize the output from language models. They turn casual conversation into a structured JSON format that's easier to use with external APIs.
  2. These tools allow users to create custom functions that can be called by the assistant. This means you can set up specific tasks like sending emails with the right information automatically filled in.
  3. Using Function Tools makes it simpler for developers to transform data from models. This new feature helps refine the way outputs are formatted, making them more usable for various applications.

Cập nhật TetCon Saigon 2015: Hai bài đầu tiên

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 15 Dec 14
🕹 Technology Web Security Networking
  1. TetCon Saigon 2015 aims to provide attendees with practical experiences and the latest research insights
  2. One talk at TetCon Saigon 2015 will discuss the Rosetta Flash attack technique that found vulnerabilities in major websites
  3. Another talk will highlight the importance of correctly implementing TLS, showing that spending more money does not always equate to better security measures

Unsecure Employee Behavior

Rod’s Blog • 0 implied HN points • 04 Mar 24
🕹 Technology Cybersecurity Training Data Breaches Security Measures
  1. Unsecure employee behavior, like clicking on phishing emails and using weak passwords, poses a significant threat to an organization's data security.
  2. To address these risks, companies should focus on educating employees, implementing strict security protocols, and fostering a culture of security awareness and responsibility.
  3. Common unsecure behaviors include sharing passwords, using unsecured Wi-Fi networks, and failing to update software, all of which can lead to data breaches and cyberattacks.

OpenAI Seeding, Model Fingerprints & Log Probabilities

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 14 Nov 23
🕹 Technology AI Machine Learning NLP Data Storage Modeling
  1. The seed parameter helps in reproducing responses from an AI by combining it with the user prompt. This means if you want the same answer again, you need to use the same seed with the same question.
  2. System fingerprints are used to track changes in the AI model or environment. If the fingerprint changes, the responses might also change, so it’s important to keep track of this along with the seed.
  3. Log probabilities will be introduced to help understand which responses the AI is likely to give. This feature can be useful for improving things like search functions and suggestions.

How Crime Could Stop A.I. From Taking Over

The Digital Anthropologist • 0 implied HN points • 03 May 23
🕹 Technology AI Blockchain Cybersecurity Scams Generative AI
  1. Cryptocurrencies and blockchain technologies may face challenges from criminal activity and mass disillusionment, similar to what AI may encounter.
  2. Fake websites generated by AI, AI-written spam emails, and AI scams highlight potential risks associated with the widespread use of artificial intelligence.
  3. Criminals, hackers, and scammers exploiting AI could inadvertently lead to a societal distrust of AI and a shift towards more human-centric approaches, potentially preventing the negative impacts of artificial intelligence on humanity.

Chain of Empathy Prompting (CoE)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 15 Nov 23
🕹 Technology AI Natural Language Psychotherapy Language Models Human-AI Interaction
  1. Chain of Empathy Prompting (CoE) helps large language models understand and respond to human emotions better. It uses ideas from psychotherapy to recognize how a person's feelings affect what they say.
  2. Emergent abilities in language models allow them to perform unexpected tasks without being specifically trained for them. CoE is an example of how these models can develop new skills through better understanding of context.
  3. Understanding the emotional context of a conversation is crucial for effective communication between humans and AI. By recognizing feelings, AI can respond in ways that feel more supportive and understanding.

Are Emergent Abilities In LLMs Inherent Or Merely In-Context Learning?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 16 Nov 23
🕹 Technology AI Machine Learning Natural Language Data science Prompt engineering
  1. Emergent abilities in language models (LLMs) allow them to perform well on tasks they weren't specifically trained for. This shows a level of flexibility in handling diverse challenges.
  2. These abilities might not be hidden skills but rather show how LLMs learn through in-context examples. This means that understanding context plays a big role in their performance.
  3. As LLMs get larger and better, we see improvements in their skills, often influenced by new ways of giving them instructions, indicating that these skills can expand with better training techniques.

LLM Hallucination Index

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 16 Nov 23
🕹 Technology AI Machine Learning Data NLP Automation
  1. The LLM Hallucination Index helps measure how often AI models generate incorrect information. This is important for improving how these models perform tasks.
  2. Retrieval-Augmented Generation (RAG) significantly boosts the accuracy of AI responses by combining information retrieval and generation. It ensures the AI has better context for questions.
  3. Different AI models perform better on various tasks. OpenAI's GPT models are strong for Q&A and long-form text, while some smaller models can match their performance at a lower cost.

Javascript Crypto Is Useful

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 18 Jun 14
🕹 Technology Crypto Security Programming Web Applications
  1. Javascript crypto can help solve problems, but can be tricky due to lack of types and permissive run-times. It's important to validate input, minimize type conversions, use typed arrays, and employ Google Closure for type checking.
  2. Javascript crypto has various useful applications like building crypto clients, avoiding PCI DSS scope for credit card processing, securing data against leaks, and reducing latency through code caching with digital signatures.
  3. Despite its challenges, programming crypto in Javascript is feasible and has gained support from notable organizations like Stanford, Google, Microsoft, and W3C.

Nothing you'd need to procure illegally

Links I Would Gchat You If We Were Friends • 0 implied HN points • 10 Dec 14
🕹 Technology Internet Hacking Social media Privacy Entertainment
  1. The Sony hacks revealed embarrassing details of ordinary people's lives, showing how terrifying cyber attacks can be.
  2. Beware of online vigilantes like Chuck Johnson, who sabotage the idea of a folk Internet in their ruthless quest for 'truth.'
  3. The Ikea coffee table became a symbol of revisiting youthful stages of life, resonating with many through shared experiences.

Google End-To-End

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 08 Jun 14
🕹 Technology Encryption Algorithms Cybersecurity Cryptography Mathematics
  1. The creation of the End-To-End email encryption program involved significant effort and collaboration, highlighting the importance of teamwork in large software projects.
  2. Working on projects like encryption libraries can lead to gaining a wealth of new knowledge and skills through the experience.
  3. Understanding mathematical concepts like elliptic curve cryptography and number theory is crucial for creating secure encryption systems.

Chain-Of-Note (CoN) Retrieval For LLMs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 17 Nov 23
🕹 Technology AI Data science Machine Learning Natural Language Software Development
  1. Chain-of-Note (CoN) helps improve how language models find and use information. It does this by sorting through different types of information to give better answers.
  2. CoN uses three types of reading notes to keep responses accurate. This means it can better handle situations where the data isn’t directly answering a question.
  3. Combining CoN with data discovery and design is important for getting reliable information. This makes sure that language models work well in different situations.

GPT Bias: A Challenge for Responsible AI

Rod’s Blog • 0 implied HN points • 27 Feb 24
🕹 Technology AI Bias Ethics Language Models Data
  1. GPT models can inherit and amplify biases from the data they are trained on, leading to negative impacts like misinformation and discrimination.
  2. GPT bias stems from both data bias (issues with the training data) and model bias (issues with the model design and architecture).
  3. There have been advancements in GPT models over the years, with newer versions like GPT-4 implementing techniques to reduce biases compared to earlier versions.

Fairy tales in password hashing with scrypt

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 19 Apr 14
🕹 Technology Security Programming Crypto APIs Java
  1. scrypt, a password-based key derivation function, is commonly used for password hashing but wasn't initially designed for this purpose
  2. Using scrypt incorrectly, such as with file encryption API instead of proper password hashing, can lead to weak security vulnerabilities
  3. When developing a crypto library, it's important to conduct user studies to ensure developers are using it correctly and securely

Why Data Needs Global Governance

The Digital Anthropologist • 0 implied HN points • 10 Mar 23
🕹 Technology Data Governance AI Tech Companies Regulations
  1. Our personal data is being used in various ways by known and unknown companies, which highlights the need for effective governance over data usage.
  2. Data is a crucial resource in the digital age, powering advancements in technologies like AI, robotics, and genetic engineering, but inadequate regulation poses risks in balancing innovation and privacy rights.
  3. The lack of global governance over data flow between nations and industries, coupled with the increasing influence of AI, emphasizes the importance of collaborative efforts involving citizens, non-profits, governments, and industries to establish effective data laws and regulations.

Social Media’s Lessons for Artificial Intelligence

The Digital Anthropologist • 0 implied HN points • 08 Mar 23
🕹 Technology Social media Artificial Intelligence Ethics Regulation Impact
  1. Social media history teaches us that we shouldn't have grand delusions about the positive impacts of AI; we must acknowledge its potential drawbacks.
  2. The rapid evolution of AI demands swift governmental response to establish regulations without hindering innovation.
  3. Lessons from social media highlight the need for industries to reevaluate capitalism's focus and prioritize societal benefits over profit.

The Chain-Of-X Phenomenon In LLM Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 20 Nov 23
🕹 Technology AI NLP Machine Learning Human-computer interaction Prompt engineering
  1. Chain-of-thought prompting helps large language models break down complex problems. This makes it easier for them to solve tasks step by step, just like humans do.
  2. Using chain-of-thought techniques improves the transparency of LLMs. It allows users to see how the model arrives at its answers, which can reduce mistakes.
  3. Different prompting methods, like least-to-most prompting, can be combined with chain-of-thought techniques. This flexibility can enhance the performance of models in various tasks.

Tại sao Việt Nam nên "ôm hôn" Bitcoin

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 05 Mar 14
🕹 Technology Cryptocurrency Digital Payments E-commerce Innovation Regulations
  1. Vietnam can benefit from using Bitcoin for remittances due to its low fees compared to traditional methods like banks and money transfer companies.
  2. Bitcoin's low transaction fees could help Vietnamese people save significant amounts of money on remittance fees annually.
  3. Bitcoin presents an opportunity for Vietnam to embrace technological innovation and advance its IT industry by legalizing and promoting the use of Bitcoin for payments.

Thông tin liên lạc

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 12 Feb 14
🕹 Technology Social media Email Messaging Networking
  1. The author primarily uses email and Google Talk for communication and avoids other software and services for contact.
  2. It's mentioned that there are fake Facebook accounts created using the author's identity, emphasizing the importance of verifying identities online.
  3. The author has accounts on Google Plus and LinkedIn for work purposes but does not actively engage in social media, preferring email and Google Talk for communication.

Now You Can Set GPT Output To JSON Mode

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 21 Nov 23
🕹 Technology AI NLP Chatbots Development Data
  1. You can now set the GPT model to respond in JSON format. This helps in getting structured data directly from the model.
  2. When using JSON mode, you need to set specific instructions for the model to generate valid JSON. Otherwise, it might not give you the expected output.
  3. Using a 'seed' parameter can help create consistent JSON outputs, making it easier to work with the data you receive.

Contrastive Chain-Of-Thought Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Nov 23
🕹 Technology AI Language Models NLP Machine Learning Data science
  1. Contrastive Chain-of-Thought Prompting (CCoT) improves reasoning by using both correct and incorrect examples. This helps the model identify mistakes better.
  2. CCoT is part of a broader trend that emphasizes the importance of complex, contextual data in training models. The way data is found and formatted is crucial for success.
  3. Creating automated methods for generating examples in CCoT can enhance the learning process. By showing positive and negative instances, models can learn what to avoid.

OpenAI String Tokenisation Explained

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 29 Nov 23
🕹 Technology AI Models Natural Language Processing Machine Learning Programming
  1. Tokenisation is the process of breaking down text into smaller pieces called tokens, which can be converted back to the original text easily. This makes it useful for understanding and processing language.
  2. Different OpenAI models use different methods for tokenising text, meaning the same input can result in different token counts across models. It’s important to know which model you are using.
  3. Using tokenisation can shorten the text length in terms of bytes, making the input more efficient. On average, each token takes up about four bytes, which helps models learn better.

ChatGPT Is One-Year Old: Are Open-Source Large Language Models Catching Up?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 01 Dec 23
🕹 Technology AI Machine Learning Natural Language Chatbots Open Source
  1. Some open-source language models are doing better than ChatGPT in specific tasks, showing that they are improving quickly. For example, models like Lemur-70B-chat are better at certain coding tasks.
  2. The study highlights that while open-source models are catching up, GPT models like ChatGPT still excel in areas like AI safety, making them important for commercial use.
  3. Understanding the differences between raw LLMs, LLM APIs, and user interfaces is crucial, as people often mix these terms up in discussions about AI technology.

Ambient Orchestration, Ubiquitous User Interfaces & The Humane AIPin

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 02 Dec 23
🕹 Technology User Interface Artificial Intelligence User Experience
  1. Ubiquitous user interfaces are everywhere and can be used in many ways, like through speech or touch. They adapt to the user's situation, making technology easier to interact with.
  2. Ambient orchestration makes technology blend seamlessly into our lives, adjusting to how we move and behave. This helps create shortcuts for our daily routines and makes tasks easier to manage.
  3. The AIPin device aims to be a helpful addition to our tech ecosystem, offering features like notifications without needing to look at a phone. It focuses on low-cognitive load interactions, especially useful while driving.

As-Needed Decomposition & Planning Using Large Language Models — (ADaPT)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 05 Dec 23
🕹 Technology AI Machine Learning Natural Language Automation Algorithms
  1. ADaPT is a method that breaks down complex tasks into smaller steps only when needed. This helps manage complicated tasks better.
  2. This approach uses a planner to come up with a big plan and then hands off simpler steps to another model for execution. This makes the process smoother.
  3. ADaPT adds resilience and smart logic to using language models, allowing them to handle tasks that get tricky and require adjustments along the way.

Data Delivery To Large Language Models [Updated]

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 06 Dec 23
🕹 Technology Artificial Intelligence Machine Learning Data science Natural Language Processing Prompt engineering
  1. Every effective AI strategy needs a solid data strategy that includes data discovery, design, development, and delivery.
  2. At inference, providing the right context and relevant data is crucial to help language models produce accurate responses.
  3. Training models involves two key phases: meta-training for foundational knowledge and meta-learning for fine-tuning on specific tasks.

Brief: Copilot for Security as a Tool for Threat Hunting

Rod’s Blog • 0 implied HN points • 14 Feb 24
🕹 Technology Cybersecurity Artificial Intelligence Automation Cloud Computing
  1. Threat hunting is a proactive cybersecurity practice that aims to uncover hidden threats in a network or system.
  2. Benefits of threat hunting include reducing attacker dwell time, preventing damage post-breach, and improving security team capabilities.
  3. Using Copilot for Security as a tool for threat hunting can enhance data sources, address management resistance, and empower security teams with AI and automation.

Gemini From Google

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 07 Dec 23
🕹 Technology AI Models Machine Learning Natural Language Cloud Computing Data processing
  1. Google's Gemini is a powerful AI that can understand and work with text, images, video, audio, and code all at once. This makes it really versatile and capable of handling different types of information.
  2. Starting December 6, 2023, Google's Bard will use a version of Gemini Pro for better reasoning and understanding. This means Bard will soon be smarter and more helpful in answering questions.
  3. Gemini has shown it can outperform human experts in language tasks. This is a significant achievement, indicating that AI is getting very close to human-like understanding in complex subjects.