The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Large Language Models, Generative AI & Google Cloud Vertex AI

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 23 Mar 23
🕹 Technology AI Machine Learning Cloud Computing Natural Language Data science
  1. Large Language Models (LLMs) have two sides: Generative and Predictive. Generative AI is popular for its ease of use, while Predictive AI requires specific training data and high accuracy.
  2. Google Cloud has focused on predictive AI before delving into generative AI. They offer tools for developers to create AI applications quickly, like chatbots and digital assistants.
  3. Classification is a key part of Predictive AI. It involves sorting input into predefined classes, which helps the model understand and respond accurately to user input.

Creating Training Data For Text Classification In Google Cloud Vertex AI

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Mar 23
🕹 Technology AI Data science Machine Learning Cloud Computing Software Development
  1. Creating training data for AI is a crucial first step in making it work well. It involves careful organization and structuring of data to help the AI learn effectively.
  2. A data-centric approach requires ongoing exploration and refinement of the training data. This means continuously checking the data for patterns and making adjustments as needed.
  3. Using human labelers to categorize data can be costly and complex. It's often easier to automate this process with human oversight rather than sending data out for labeling.

Training & Testing Text Classification Models with Google Cloud Vertex AI

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 28 Mar 23
🕹 Technology Machine Learning Artificial Intelligence Cloud Computing Data science Software Development
  1. Google's AutoML makes it easy to build classification models without needing much technical know-how. It simplifies the process, allowing more people to create models.
  2. Vertex AI can classify text into single or multiple categories, but it doesn't support complex class structures. So, simple classifications work best.
  3. While AutoML speeds up model creation, training times can be long. It's important to plan your data splits and annotation sets for better model performance.

They're all the rage

Links I Would Gchat You If We Were Friends • 0 implied HN points • 06 Feb 15
🕹 Technology Internet Social media AI
  1. There is no such thing as the 'perfect response.' The idea of a perfect response online is just a fantasy.
  2. When dealing with someone's digital legacy, like after they pass away, it can be overwhelming with all the online accounts and information to handle.
  3. Spending a week typing in all caps can be quite off-putting for others, they usually prefer when you stick to normal capitalization.
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What Constitutes A Large Language Model Application?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 30 Mar 23
🕹 Technology AI Software Machine Learning Applications Data Analysis
  1. Large Language Models (LLMs) are advanced AI tools that can understand and create human language. They help with tasks like writing, summarizing, and recognizing different pieces of information.
  2. There are different parts to building applications with LLMs. This includes using models, tools for development, and creating apps that end users can interact with.
  3. Prompt engineering is important for getting the best results from LLMs. It involves creating and managing prompts to guide the AI in generating useful responses.

Future OpenAI Functionality Will Supersede Many Current LLM Applications

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 31 Mar 23
🕹 Technology AI Software Startups Innovation User Experience
  1. OpenAI's features are expanding rapidly, making it likely that many current applications will become obsolete. Just like when smartphones added flashlight functions, many apps may no longer be needed.
  2. Startups need to really focus on giving users a great experience and unique features to stand out. It's important to build a special software layer that adds real value to their products.
  3. With all the changes happening in LLM technology, companies must adapt quickly. They need to stay flexible and innovative to keep up with what OpenAI and others are doing.

source{d} just raised a $6M Series A to unleash the power of source code analysis

Venture Prose • 0 implied HN points • 04 Oct 16
🕹 Technology Tech news Startups Data Analysis
  1. source{d} raised $6M in Series A funding. They use advanced technologies like deep neural network techniques to analyze open source code. They are developing an open source platform to help developers collaborate and achieve their full potential.
  2. source{d} can extract a unique DNA for developers and projects, allowing for possibilities like showing coding profiles, matching developers and projects, and measuring productivity and consistency of contributions.
  3. source{d} focuses on the power of source code analysis by providing transparency, readability, and liquidity to millions of contributions, aiming to help developers reach their full potential and hiring for positions including VP of Marketing.

The Future Is Many Interfaces

The Digital Anthropologist • 0 implied HN points • 03 Aug 23
🕹 Technology UI BCI AI
  1. The future of interfaces is not dominated by a single type but includes multiple interfaces like voice, touch, and gesture.
  2. Human culture and social behavior greatly influence how user interfaces are experienced and developed, leading to a variety of UI options.
  3. Technological advancements are expanding UI possibilities, such as haptic interfaces and brain-computer interfaces, offering new ways to interact with the digital and physical world.

Mastodon

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 09 Jul 18
🕹 Technology Social media Open Source Privacy Development Apps
  1. Mastodon is a social media technology that allows creating personal networks and connecting globally. Each network is like a Facebook page or group but independent.
  2. Mastodon is popular in countries like Japan, Germany, Austria, and France with over 1.4 million users. It is maintained by a serious community with over 470 contributors on GitHub.
  3. Mastodon is open-source, non-commercial, ad-free, respects privacy, and does not use content control algorithms. It offers a decentralized network with complete user control.

Where are Vietnamese hackers/security researchers?

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 17 Jul 07
🕹 Technology Cybersecurity Research
  1. The VNSECON 07 conference is seeking submissions from Vietnamese hackers and security researchers for technical and business tracks in Ho Chi Minh City.
  2. The conference organizers are disappointed with the low number of submissions received from Vietnam so far and are considering extending the submission deadline.
  3. There have been only three submissions from Vietnamese individuals, showing a need for more participation in sharing security experience and research.

5 Things NLU Engines Are Really Good At

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 03 Apr 23
🕹 Technology AI NLP Chatbots Machine Learning Data Mining
  1. NLU engines make data entry super easy with no coding needed. You can just click and put in your data without worrying about complicated setups.
  2. Intents, or the goals of what users want, are flexible and can adapt to different classes or categories. This helps in understanding user requests better.
  3. Entities, which represent specific items or information, have improved a lot. Better detection of these lets chatbots gather information without having to ask the user again.

Foundation Large Language Model Stack

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 05 Apr 23
🕹 Technology AI Software Data Development Innovation
  1. Creating a complete chart of large language model products is really hard. There are so many different uses and categories for them.
  2. The landscape of LLMs is changing quickly, with new generative products being revealed every day. Some of these products may not be available yet.
  3. It's important to understand the functionality of each product to categorize and segment them correctly. Feedback from others can help improve this understanding.

Generative AI Prompt Pipelines

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 12 Apr 23
🕹 Technology AI Machine Learning Natural Language Data science Software Development
  1. Prompt pipelines make it easier to provide answers by using templates and adding specific context from a knowledge source. This helps to create better responses based on user requests.
  2. When a user asks something, the system finds the right template, fills in the necessary information, and sends it off to get a clear answer quickly.
  3. Using these pipelines helps to avoid mistakes by ensuring the information used is updated and accurate, rather than relying on potentially outdated data.

Into it

Links I Would Gchat You If We Were Friends • 0 implied HN points • 18 Feb 15
🕹 Technology Internet China Social media Celebrity Surveillance
  1. The 'Million Dollar Homepage' froze a piece of the earlier Internet in time by charging $1 per pixel for ad space, making over $1 million.
  2. Stolen iPhones ending up in China can give you a personal glimpse into a stranger's life if still connected to your iCloud account.
  3. Transit agencies actively read and respond to terrible tweets, showcasing public interaction with social media.

The Foundation Conversational AI Technologies: Version 3

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 Apr 23
🕹 Technology AI Chatbots Data Development NLP
  1. There's been a rise in chatbot development frameworks that now include large language models (LLMs). This means chatbots can do more complex tasks than before.
  2. LLMs are not just for generating responses anymore. They can help create entire conversation flows and assist developers more effectively.
  3. Future improvements will focus on better fine-tuning and supervision methods for LLMs, making them even smarter and more useful.

My crypto team is hiring!

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 22 Mar 18
🕹 Technology Crypto Security Software Privacy
  1. Google's crypto team is hiring Software Engineer/Security Engineer candidates to work on Tink and Wycheproof projects aimed at improving security for Google and Alphabet products.
  2. Team members help analyze, evaluate, design, and implement cryptosystems, focusing on helping developers use cryptography correctly.
  3. Prefer candidates located in Zurich and the US west coast (Seattle, Sunnyvale, San Francisco) to join the team.

Further proof the Internet makes dumb people dumber

Links I Would Gchat You If We Were Friends • 0 implied HN points • 27 Jan 15
🕹 Technology Internet Social media Ethics Psychology
  1. Yelp's "best restaurants" list may not actually guide you to the best places to eat, possibly revealing online reviewing biases
  2. Twitter jokes can have philosophical roots, referencing figures like Thomas Hobbes
  3. FOMO, or the fear of missing out, plays a role in activities like searching for a 'Craigslist blizzard buddy' when bored and lonely

The Evolution Of Prompt Engineering

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 17 Apr 23
🕹 Technology AI NLP Generative AI Chatbots Prompt engineering
  1. Prompt engineering is important for getting the best responses from large language models. Users have to carefully design prompts to mimic what they want the model to generate.
  2. Static prompts can be turned into templates with placeholders that can be filled in later. This makes it easier to reuse and share prompts in different situations.
  3. Prompt pipelines allow users to create more complex applications by linking several prompts together. This helps organize how information is processed and improves user interaction with chatbots.

Scaleable Prompt Pipelines For LLMs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 18 Apr 23
🕹 Technology AI NLP Chatbots Automation Data science
  1. Creating good prompts for AI needs context. A well-structured prompt includes clear instructions, context, the user's question, and the expected answer format.
  2. To handle many prompts at once, automation is key. Using tools to automatically search and retrieve the right context for prompts will save time and improve responses.
  3. For AI to work well in specific areas, it needs accurate and well-organized data. This data helps improve the AI’s answers, especially in narrow topics.

What Makes A Mobile Consumer App Successful

Venture Prose • 0 implied HN points • 29 Jul 16
🕹 Technology Mobile Apps Entrepreneurship Product Development UI/UX Design Startup Success
  1. Key elements for a successful mobile consumer app include product-market fit, positive virality rate, and retention over time.
  2. To succeed, a mobile app must provide utility, become a regular part of users' lives, and foster a sense of community.
  3. Building a mobile consumer app involves creating great UI/UX, ensuring quick user benefit discovery, and connecting users for interaction and engagement.

OpenAI Playground Start & Restart Prompt Injection

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Apr 23
🕹 Technology AI NLP Chatbots Development Interaction
  1. OpenAI is using ChatML to help the AI tell the difference between human and machine text. This can reduce bad prompt injections by recognizing who is giving instructions.
  2. They have introduced different modes for specific tasks. Each mode has its own setup to guide users on how to interact with the AI effectively.
  3. New options in OpenAI Playground let users add text at the beginning or end of an AI response. This helps create better conversations and reminds users how to make good prompts.

API-Tech + Product

Venture Prose • 0 implied HN points • 29 Jul 16
🕹 Technology API Product Startups Entrepreneurship Tech industry
  1. Successful companies can work on and sell two different but connected things at the same time, like API-Tech + Product.
  2. Companies that initially stand out and succeed often have clarity, determination, and quality in their foundational choices.
  3. To build an empire, focus on creating unique assets, game changers, and barriers that set your company apart from others.

Agents, LLMs & Multihop Question Answering

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 21 Apr 23
🕹 Technology AI Machine Learning Natural Language Processing Software Development Data science
  1. Agents can use different tools based on user requests. This gives them the flexibility to respond to questions that don't fit a typical sequence.
  2. Prompt chaining involves linking prompts together to create a more complex response. However, it can struggle with unexpected user queries.
  3. For better responses, it's important for an Agent to have clear instructions on which tool to use. Fine-tuning these instructions can improve how well the Agent answers questions.

Đăng ký workshop: "Lời khuyên của một hacker: làm sao để tránh bị hack"

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 05 Dec 17
🕹 Technology Security Workshop Internet
  1. The workshop aims to provide information and help the community stay safe while using the Internet, avoiding hacks and protecting personal information.
  2. Participants are asked to respect the workshop's goal and not ask questions or bring up topics outside the program's scope.
  3. Despite initial promises of gifts for attendees, delays in logistics mean the gifts may arrive late or after the workshop is concluded, with efforts being made to expedite delivery.

Adi Shamir, Serge Vaudenay và Phong Nguyen ở Sài Gòn

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 23 Nov 17
🕹 Technology Cybersecurity
  1. The ISC 2017 event in Saigon had notable cryptography experts like Adi Shamir, Phong Nguyen, and Serge Vaudenay present, offering valuable insights in the field.
  2. Serge Vaudenay's padding oracle attack innovation significantly impacted the speaker's career, showcasing the importance of such advancements in the cybersecurity domain.
  3. Adi Shamir delivered a keynote speech at the event, a rare opportunity to hear from one of the pioneers in cryptography, emphasizing the significance of attending such talks.

Design, Tech & Algo, but nothing to show

Venture Prose • 0 implied HN points • 29 Jul 16
🕹 Technology Design Tech Algorithms
  1. Focus on actually building something tangible rather than just talking about grand visions or concepts.
  2. It's important to iterate and test your ideas in order to make progress instead of just assuming you know the exact direction to take.
  3. When working on consumer products, ensure that there is something meaningful and usable to show to the public.

The State of LLM Based Application Development

Iceberg • 0 implied HN points • 19 Oct 23
🕹 Technology Interface Design Data handling Natural Language Processing Application development
  1. LLMs are gaining popularity in the tech world, especially through chat interfaces like Chat GPT models.
  2. Developers face challenges when transitioning human-to-machine interfaces to machine-to-machine interactions with LLMs.
  3. Tools like adjusting temperature parameters and utilizing frameworks can help overcome issues like hallucinations, context size limitations, and arbitrary output in LLM applications.

Tradeoffs in development: The True Cost of Javascript

Iceberg • 0 implied HN points • 03 Oct 23
🕹 Technology Development JavaScript
  1. Choosing JavaScript for backend development can come with a high maintenance cost due to its npm ecosystem having a lot of dependencies.
  2. JavaScript projects in npm tend to have 10x more dependencies compared to projects in other ecosystems, leading to frequent updates, breaking changes, and security patches.
  3. Despite the benefits of a vibrant ecosystem, it's important to consider the trade-offs and evaluate tech choices based on factors like maintenance costs when comparing to alternatives like Python and Golang.

Lỗ hổng WPA2/WiFi mới: khó khai thác, không nguy hiểm, không nên hoảng hốt

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 17 Oct 17
🕹 Technology Cybersecurity Vulnerabilities
  1. The WPA2/WiFi vulnerabilities disclosed are difficult to exploit and not very dangerous, so there's no need to panic or stop using WPA2 WiFi.
  2. Attackers need to be physically close to control the WiFi signal between the victim's device and the router, making this method less attractive compared to other easier attack methods.
  3. Even if data is decrypted, sensitive information like Gmail, Facebook, or bank account credentials are not exposed, as they are encrypted with different standards not related to WiFi.

Emerging Large Language Model (LLM) Application Architecture

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 19 Sep 23
🕹 Technology AI Machine Learning Natural Language Software Development Automation
  1. Large Language Models (LLMs) work with unstructured data like human conversations. They generate natural language, but can sometimes give incorrect answers, known as 'hallucination.'
  2. Fine-tuning LLMs isn't popular anymore due to high costs and the need for constant updates. Instead, focusing on relevant prompts helps get better, accurate responses.
  3. Using multiple LLMs for different prompts makes sense. New tools are emerging to test how well different models work with specific prompts.

Feelin' salty

Links I Would Gchat You If We Were Friends • 0 implied HN points • 22 Jan 15
🕹 Technology Internet Online Services Social media Data Privacy
  1. Your e-reader companies might be collecting detailed data on your reading habits, which could potentially change longer-form writing.
  2. There's a new service that texts you like an imaginary significant other, offering some rom-com potential.
  3. Instagram users explore the late night creative space with the hashtag #nightshift, sharing beautifully weird posts.

Internet Banking: cấm không có nghĩa là an toàn, an toàn không có nghĩa là khách hàng sẽ muốn xài

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 24 Jul 17
🕹 Technology Internet Security User Experience
  1. Ensuring security in internet banking is crucial, but it must be balanced with user experience. Just because it's secure doesn't mean customers will find it convenient to use.
  2. The balance between security and user convenience is key in designing financial products. Security measures should not overly burden customers or hinder their experience.
  3. System security should rely on technology rather than strict procedures. Protecting customers with technology ensures a smoother user experience compared to relying solely on restrictive rules.

Foursquare is back on my homescreen, not for long but I wish…

Venture Prose • 0 implied HN points • 29 Jul 16
🕹 Technology Apps Tech industry Product Development User Experience Digital Content
  1. Foursquare provides great reviews and tips with an authentic tone, useful for checking recommendations and discovering new places on the go.
  2. Even though Foursquare is limited to food, nightlife, and shopping, it works effectively, but lacks consistent and lasting relevance.
  3. To improve, Foursquare could benefit from having local experts for daily updates, community engagement similar to Product Hunt, and coverage of culture and events in addition to its current categories.