The hottest Computer Science Substack posts right now

And their main takeaways
Category
Top Technology Topics

How People Experience Things

Load-bearing Tomato • 1 implied HN point • 04 Jul 24
🕹 Technology Computer Science
  1. Understanding how people think can really help in designing better games. When we grasp players' experiences and emotions, we can create features they will understand and enjoy.
  2. A state machine model can show us how players react based on their past experiences and knowledge. This way, we can predict what they'll do in different situations.
  3. It's important to consider different players' backgrounds when designing games. New players and seasoned players might respond very differently to the same game mechanics.

Busy Beaver, the current BB(5) conjecture and bbchallenge.org

Fikisipi • 1 HN point • 24 Jun 24
🕹 Technology Computer Science
  1. The Busy Beaver function is a mathematical concept related to Turing Machines that aims to find the machine performing the most operations without entering an endless loop. It's a fun way to think about extremely large numbers.
  2. Professor Scott Aaronson made a conjecture that the value of BB(5) is 47,176,870, which is a big number in the context of the Busy Beaver problem. This means trying to determine how many steps the best machine with 5 states can make.
  3. A group called bbchallenge.org is working together to solve this conjecture and make progress on understanding BB(5). They've made some recent updates and are excited about their upcoming findings.

Uploads are Impossible

PashaNomics • 2 implied HN points • 12 May 23
🔬 Science Computer Science
  1. Creating digital uploads of human minds is likely impossible due to challenges in physics, computer science, and philosophy.
  2. The process of verifying a successful upload is complex, involving difficult tasks such as identifying 'soul' in the digital mind.
  3. Cultural dynamics and human nature present challenges in ensuring the safety and ethical treatment of digital uploads.

Why I Donate My Book’s Proceeds to the Nonprofit Girls Who Code

Peak Horse • 2 HN points • 30 Mar 23
🕹 Technology Computer Science
  1. The history of computing is filled with trailblazing women pioneers who laid the foundation for modern technology.
  2. Women like Ada Lovelace, Grace Hopper, and Mary Allen Wilkes made significant contributions to the field of computer science.
  3. Despite historical achievements, there is still a gender gap in computer science education and employment that needs to be addressed.

August 2023 Round Up

Maker News • 1 HN point • 31 Aug 23
🕹 Technology Computer Science
  1. The newsletter features a variety of interesting content like effects pedals and LED bead curtains.
  2. There are recommendations for articles and projects related to hardware development and DIY electronics.
  3. Encouragement to share the newsletter with other tech enthusiasts and embrace the creativity during the upcoming winter months.
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Towards Acting AI

How the Hell • 1 HN point • 24 Mar 23
🕹 Technology Computer Science
  1. GPT-4 has achieved human-level intelligence at various tasks by scaling up existing models.
  2. We've reached the limits of Large Language Model scaling, as simply mimicking human behavior isn't enough for advancements.
  3. AI models like the one developed by Adept.ai showing potential to perform diverse tasks, bridging the gap between AI and real-world applications.

A Rorschach Test on Fire

Dan’s MEGA65 Digest • 1 HN point • 15 Mar 23
🕹 Technology Computer Science
  1. The MEGA65 Digest for March 2023 features files, features, hardware, and a programming exercise to play with.
  2. An external floppy disk drive option with modern features and compatibility for the MEGA65 is available for pre-order.
  3. A colorful, low-resolution 80x50 Mandelbrot Set can be created using BASIC programming on the MEGA65, showcasing the computer's capabilities.

120 Years of Game-Changing Genius: Celebrating John von Neumann's Birth

Phoenix Substack • 1 HN point • 13 Mar 23
🕹 Technology Computer Science
  1. John von Neumann was a brilliant mathematician and polymath who contributed significantly to various fields.
  2. Automated Moving Target Defense (AMTD) in cybersecurity involves constantly changing the system's attack surface to deter attackers.
  3. The minimax theorem from John von Neumann's game theories suggests that defenders should choose MTD strategies that minimize the maximum possible loss.

Machine Learning vs Artificial Intelligence: What's the Difference?

Rod’s Blog • 0 implied HN points • 16 Feb 24
🕹 Technology Computer Science
  1. Machine learning and artificial intelligence are closely related but not the same; machine learning is a subset of artificial intelligence.
  2. Machine learning focuses on data-driven approaches for systems to learn and improve performance, whereas artificial intelligence involves a broader range of tasks requiring human-like intelligence.
  3. Artificial intelligence encompasses various methods beyond machine learning, such as rule-based systems and expert systems, and it aims to perform tasks that typically require human intelligence.

Lecture 1: Categories, Functors, & Naturality

Quantum Formalism • 0 implied HN points • 07 Mar 23
🚌 Education Computer Science
  1. Category theory is important in various fields like functional programming, formal verification, machine learning, and quantum information science.
  2. Connecting with experts like Brian Hepler can provide valuable insights and opportunities in mathematical research.
  3. The course emphasizes sharing knowledge and encouraging more people to learn the language of Category theory.

The AI Worries of Hollywood Actors

Joshua Gans' Newsletter • 0 implied HN points • 16 Jul 23
🕹 Technology Computer Science
  1. The Hollywood writers and actors are on strike due to concerns about how streaming services have impacted their residuals, leading to a renegotiation of contracts.
  2. The writers are worried about generative AI replacing them, leading to demands to regulate the use of AI in writing, while actors are concerned about exploitation by studios when it comes to AI usage in projects.
  3. There is uncertainty about the future impacts of AI on these professions, with a warning for writers and actors to make the most of the current situation while planning for potential career shifts.

OFF my lawn

Links I Would Gchat You If We Were Friends • 0 implied HN points • 17 Mar 16
🕹 Technology Computer Science
  1. Garbage person insult originates from Manson's self-reference during trial, now widely used online for various situations.
  2. The internet is transforming discussions in the art world towards shallowness and democracy, seen in literature and other creative fields.
  3. Humans created the computer program that beat humans at the game of Go, showcasing the complexity at the intersection of strategy games and computer science.

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
  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.

Solutions manual for "A computational introduction to number theory and algebra"

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 07 Jul 09
🚌 Education Computer Science
  1. The book "A computational introduction to number theory and algebra" is recommended as an excellent resource for those interested in number theory, algebra, and cryptography, particularly from a computer science perspective.
  2. The book emphasizes computational aspects, presents algorithms, and discusses complexity analysis, making it a valuable resource for cryptography applications.
  3. The author has created a solutions manual for some chapters of the book, focusing on exercises related to basic properties of integers, congruences, and computing with large integers.

An Introduction to Genetic Algorithms

Tecnica • 0 implied HN points • 28 Jul 24
🕹 Technology Computer Science
  1. Genetic algorithms mimic natural evolution. They start with random solutions and improve them through processes like crossover and mutation to find better answers to problems.
  2. A genetic algorithm works by creating a group of solutions and then mixing and matching them to form new solutions. The best-performing solutions are kept for the next generation.
  3. While genetic algorithms are easy to implement and can explore many options at once, they might not always find the best solution quickly and can be tricky to set up because of the need for a good fitness function.

The Rise of LLM Chatbots

Sector 6 | The Newsletter of AIM • 0 implied HN points • 12 Feb 23
🕹 Technology Computer Science
  1. Large language models like ChatGPT and Bard have led to the rise of conversational chatbots. These chatbots can interact with users in a more human-like way.
  2. Big tech companies are competing to develop advanced AI models. OpenAI and Microsoft are currently at the forefront of this race.
  3. Google is also entering the chatbot scene with its own conversational AI called Bard. However, it may be released gradually and only to select users.

What hardware do I need to create a LLM?

Shrek's Substack • 0 implied HN points • 18 Apr 23
🕹 Technology Computer Science
  1. Training large language models (LLMs) needs powerful hardware, often multiple A100 GPUs with 40GiB of VRAM each. Running them is cheaper than training.
  2. Different data types like FP16 and TF32 are crucial for handling model memory. New types help manage larger numbers while saving memory.
  3. For smaller models, single hardware can work, but bigger models need a lot of VRAM or multiple systems. There's a difference between training and running models efficiently.

Matching Retrieved Context With Question Context Using LogProbs With OpenAI for RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 22 Apr 24
🕹 Technology Computer Science
  1. Logprobs help assess how confident a model is in its answers. This reduces incorrect or misleading answers.
  2. When a question is asked, using logprobs can show if there’s enough information to answer it fully. This makes responses more reliable.
  3. Understanding log probabilities turns complex tiny numbers into easier scales to work with. It helps in analyzing discussions and improving response quality.

Internal Storage Design of Modern Key-value Database Engines [Part 3]

Practical Data Engineering Substack • 0 implied HN points • 13 Aug 23
🕹 Technology Computer Science
  1. Compaction is an important process in key-value databases that helps combine and clean up data files. It removes old or unnecessary data and merges smaller files to make storage more efficient.
  2. Different compaction strategies exist, like Leveled and Size-Tiered Compaction, each with its own benefits and challenges. The choice of strategy depends on the database's read and write patterns.
  3. The RUM Conjecture explains the trade-offs in database optimization, balancing read, write, and space efficiency. Improving one aspect can worsen another, so it's key to find the right balance for specific needs.

[in case you missed it] Data Science Weekly - Issue 387

Data Science Weekly Newsletter • 0 implied HN points • 25 Apr 21
🕹 Technology Computer Science
  1. Goodreads lets users decide what counts as a classic book, showing how the definition has changed over time. This online platform helps readers share their thoughts in various ways.
  2. Scientists are trying to decode whale language using AI, aiming to understand how these marine animals communicate. This research could reveal insights about their behavior and society.
  3. New techniques allow neural networks to solve tough equations much faster. This improvement can help us better model complex systems, making it easier for researchers and engineers.

[in case you missed it] Data Science Weekly - Issue 317

Data Science Weekly Newsletter • 0 implied HN points • 21 Dec 19
🕹 Technology Computer Science
  1. NeurIPS 2019 showcased a lot of innovation in AI, with numerous workshops and papers highlighting current research trends.
  2. AI benchmarks, like games, are not always the best way to measure intelligence because they don't truly represent problem-solving skills.
  3. There are new advancements in AI that improve how machines learn and respond, such as handling complex games and understanding language better.

Once a Maintainer: Santiago Pastorino

Once a Maintainer • 0 implied HN points • 26 Nov 24
🕹 Technology Computer Science
  1. Santiago got into programming through formal study in computer science and started his career as a consultant in Java. He eventually founded his own agency to explore new ways of working, which led him to contribute to open source.
  2. He transitioned to Rust programming after finding web development unsustainable due to changing technologies. He appreciates Rust's focus on safety and performance, aiming for a stable programming environment.
  3. The Rust compiler team operates on a bottoms-up approach, allowing contributors to lead based on their interests. Currently, Santiago is focused on improving async programming capabilities and user-friendly reference counting in Rust.

The Error Correction Zoo and Google's quantum chip Willow

Fikisipi • 0 implied HN points • 10 Dec 24
🕹 Technology Computer Science
  1. Google has introduced Willow, a new quantum chip with 105 qubits. It's designed to perform complex computations that regular computers struggle with.
  2. Error correction is crucial for quantum computers, and it's still a tough problem to solve. The 'Error Correction Zoo' is an online resource that keeps track of different methods to fix errors in computing.
  3. While quantum computers are fascinating, their real-world applications might not be as exciting as we imagine. The hope is they will eventually be used in fields like pharmaceuticals.

HTTP 204 Is the Best DELETE Response

The API Changelog • 0 implied HN points • 04 Jun 25
🕹 Technology Computer Science
  1. HTTP 204 is a good response for DELETE operations because it means the action was successful and there's no further info needed. An empty response is often the best way to say everything worked out.
  2. Some people believe that a DELETE operation should include details about what was deleted, but that's not always necessary. You can get that info by checking before you delete.
  3. While 204 is recommended for DELETE actions, there are other options too. Situations may require different responses, but 204 often works best for clear communication.

Data Imperialism

Amadeus Pagel's Newsletter • 0 implied HN points • 11 Apr 23
🕹 Technology Computer Science
  1. Data can be used in limitless ways, leading to limitless expansion in technology.
  2. Programs tend to expand their functionalities over time, following Zawinski's law.
  3. Questions about fair competition arise when companies expand their services and features.

Writing for myself

Stefan’s Substack • 0 implied HN points • 17 Mar 23
🕹 Technology Computer Science
  1. The Substack is a personal space for writing thoughts and interesting findings.
  2. Topics covered include research, formal verification, programming, algorithms, and philosophical questions in computer science.
  3. Author also has another sub-stack focusing on teaching and learning algorithms.

Monday Motivation: Radia Perlman

Danielle Newnham • 0 implied HN points • 05 Jun 23
🕹 Technology Computer Science
  1. Radia Perlman is a prominent figure in the development of the internet, known as the 'Mother of the Internet' for her invention of the spanning-tree protocol (STP).
  2. Perlman's work revolutionized network design, enabling the Ethernet to expand from small networks to the massive scale we see today.
  3. Aside from her groundbreaking work on STP, Perlman is also an educator, author, and holder of over a hundred patents in the field of computer science.

John McCarthy, The Father of AI, Liked To Boogey

jeffreycarr • 0 implied HN points • 30 Jan 24
🕹 Technology Computer Science
  1. John McCarthy, the Father of AI, established the first AI labs in the country.
  2. McCarthy had a diverse background, being raised as a Communist but turning into a conservative Republican later in life.
  3. The 1960s saw various revolutions worldwide, and McCarthy enjoyed dancing to rock music, reflecting the era's spirit.