The hottest Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data Science Weekly - Issue 147

Data Science Weekly Newsletter • 19 implied HN points • 15 Sep 16
🕹 Technology Computing
  1. Deep learning works well not just because of math but also due to physics, which helps reduce complexity in models.
  2. AI is a tool, similar to a calculator or smartphone, and we need to adapt to its presence in our lives rather than fear it will replace us.
  3. Machine learning can be learned quickly, and even a total beginner can start applying it in a work setting with some dedication.

Data Science Weekly - Issue 83

Data Science Weekly Newsletter • 19 implied HN points • 25 Jun 15
🕹 Technology Computing
  1. A neural conversational model has been developed by Google to build better chatbots that can understand and respond like humans.
  2. Data mining has uncovered surprising factors that make movies successful, challenging previous beliefs about relying only on famous actors.
  3. There has been a significant drop in death rates from heart disease due to improved emergency treatments in hospitals.

Introduction to Hash Tables

Photon-Lines Substack • 2 HN points • 09 Jul 23
🕹 Technology Computing
  1. Hash tables allow for efficient storage and retrieval of key-value pairs using hash functions.
  2. Real-world applications of hash tables include dictionaries, caching systems, database indexing, and symbol tables in compilers.
  3. Good hash functions must be efficient, deterministic, and ensure a uniform distribution of generated keys to avoid collisions.
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Are we so good to simulate?

world spirit sock stack • 1 implied HN point • 04 Mar 24
🔬 Science Computing
  1. The Simulation Argument suggests that if technologically advanced civilizations are likely to create 'ancestor simulations,' then it's probable we are currently living in one.
  2. A counterargument questions the high cost and resources needed to run simulations of confused minds, suggesting that the majority of minds in a location are likely correct about their reality.
  3. The idea that simulating history is extremely cheap challenges the assumption that all possibilities will be pursued given finite resources and many potential simulations.

Strategic Computing's Machine Acquisition Program

FreakTakes • 1 implied HN point • 05 Nov 23
🕹 Technology Computing
  1. The Machine Acquisition Program helped DARPA researchers acquire expensive machines for AI research at a lower cost through negotiation with manufacturers.
  2. The program had successful cost savings but faced challenges due to rapid technological changes, making some purchased machines obsolete within a few years.
  3. Lessons learned included the importance of adapting to evolving technology, weighing risks of investing in rapidly changing fields, and considering long-term impacts of equipment purchases.

Siêu hacker

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 17 May 11
🕹 Technology Computing
  1. Software like MPlayer, Google Chrome, and VLC all use the FFmpeg library, which is also likely used in other devices like TVs and phones.
  2. Technologies such as Xen, VirtualBox, and Linux Kernel-based Virtual Machine utilize QEmu, with even cloud computing services like Amazon EC2 running on Xen.
  3. The International Obfuscated C Code Contest (IOCCC) showcases creative and complex C code snippets, with past winners achieving incredible feats like calculating massive prime numbers and building self-compiling compilers in minimal bytes.

Intel APX

The Chip Letter • 1 HN point • 25 Jul 23
🕹 Technology Computing
  1. Intel announced APX, the next evolution of Intel architecture, with improvements in registers and performance
  2. The introduction of APX includes doubling the number of general purpose registers, new instructions, and enhancements for better performance
  3. Intel also revealed a new vector ISA, AVX10, to establish a common vector instruction set across all architectures

The Age of the App is Over

Keeping Tabs by The Browser Company • 1 HN point • 30 Mar 23
🕹 Technology Computing
  1. Our smartphones have made us think about life in a specific way with apps, but our digital lives are more complex now.
  2. Our digital spaces should be designed around people, projects, and goals rather than the traditional app-centric model.
  3. We should have the freedom to search across all apps, build our own organizational structures, and express ourselves in our digital spaces.

invisible terminal

Kotobago Newsletter • 0 implied HN points • 20 Sep 23
🕹 Technology Computing
  1. Ubiquitous computing may not always involve augmented displays, but could include no display at all.
  2. Consider exploring how blind individuals use computers and the tools they use for programming.
  3. Blob storage can offer a modern alternative to conventional filesystem navigation by eliminating the need for creating folders.

Hello 2024 — The Year Computing Changes Forever

Spatial Web AI by Denise Holt • 0 implied HN points • 01 Jan 24
🕹 Technology Computing
  1. The computing landscape is evolving dramatically in 2024, marked by the emergence of groundbreaking technologies beyond Generative AI.
  2. VERSES AI is at the forefront of shaping this new computing paradigm, introducing a comprehensive framework for the future of computing.
  3. Active Inference AI, exemplified by VERSES, represents a significant leap towards achieving Artificial General Intelligence in an energy-efficient and sustainable manner.

Links #3

Splitting Infinity • 0 implied HN points • 07 Sep 23
🔬 Science Computing
  1. The use of genetically modified neurons to improve MRI imaging of the brain by producing protein-based contrast agents is an intriguing idea.
  2. Real hedge funds do not seem to use certain advanced algorithms for portfolio selection despite proven performance improvement.
  3. FPGA's are versatile hardware that can be programmed for various computational tasks and have applications in fields like antennas, random number generation, and hardware security.

How to seed systems

Joshua Gans' Newsletter • 0 implied HN points • 11 Feb 24
🕹 Technology Computing
  1. New systems are born from the discovery of the right user interface for a technology, which lowers accessibility costs and incentivizes new applications.
  2. Apple has a history of seeding ecosystems by creating the right user interface - such as with graphical computing and mobile computing.
  3. The Vision Pro by Apple exemplifies the importance of UI innovation, especially for technologies like spatial computing, which has the potential for transformative impacts.

Tripping on the Interwebs

Links I Would Gchat You If We Were Friends • 0 implied HN points • 20 May 15
🕹 Technology Computing
  1. IBM's Watson continues to advance in intelligence and capabilities, sparking discussions about the potential implications of AI technology.
  2. Zoltan Istvan, a 'transhumanist,' believes in the possibility of a robot ruling the world, highlighting controversial viewpoints on AI development.
  3. There is a trend towards advocating for building and customizing your own computer, akin to the slow food movement but in the realm of technology.

Phép chia dài

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 23 Sep 13
🚌 Education Computing
  1. Estimating the first digit of the quotient in long division can help reduce the number of calculations needed.
  2. Understanding Knuth's Long Division algorithm can aid in efficiently performing arithmetic operations on large integers.
  3. Choosing a smart value for the base when dividing large numbers can lead to more accurate estimations and fewer operations required.

The Evolution of Computing: From 8-bit to 64-bit

Deus In Machina • 0 implied HN points • 31 Aug 23
🕹 Technology Computing
  1. Computing technology evolved from 8-bit to 64-bit architectures over the years, impacting how we use and understand computers.
  2. Understanding bits, nibbles, and bytes provides insight into the fundamental units of computer data representation and processing.
  3. The transition from 8-bit to 64-bit computing brought advancements in hardware, software development, and overall system performance.

Computers Are Not Printing Presses

Paul’s Substack • 0 implied HN points • 04 Jul 24
🕹 Technology Computing
  1. Reading is a form of linear thinking in 2D with text arranged on paper.
  2. Computers offer a 4-dimensional medium for creation, with dimensions x, y, z, t.
  3. People don't necessarily need to know programming, just utilize the new 4D medium for various purposes like gaming, robotics, and ubiquitous computing power.

2024-06-15-Not Standing On The Shoulders Of Giants

Paul’s Substack • 0 implied HN points • 15 Jun 24
🕹 Technology Computing
  1. Using old solutions for new problems may not be efficient if the context has drastically changed over time.
  2. The advancements in technology and accessibility of CPUs and memory have transformed the landscape of programming, making old techniques from the 1950s less relevant today.
  3. To address modern programming challenges, consider utilizing message passing, embracing multiple programming languages, and creating IDEs that cater to the current technological environment.

A model for computing goals as signals

Space chimp life • 0 implied HN points • 30 May 23
🕹 Technology Computing
  1. Detecting the position of a particle is crucial, as it helps decide if action is needed or not. A good detection system can distinguish between being inside or outside a boundary.
  2. The effectiveness of an actuator is important too. It should reliably apply force when needed, helping to keep the particle within the desired area.
  3. Adding more detectors and actuators can enhance the chances of success, but they still can't guarantee it. Each added component improves the probability but only approaches success asymptotically.

256 Colours are all you need

Tecnica • 0 implied HN points • 28 Jul 24
🕹 Technology Computing
  1. Dithering is a technique used in digital images to make them look better with fewer colors. By mixing colors, it tricks our eyes into seeing more depth and detail.
  2. True-color images have over 16 million colors, but most images only need around 256 colors. Using a smaller palette can save space without losing too much quality.
  3. Old computer systems used 'dither' to improve calculations, and similar methods in image processing help create better images even with limited color choices. This shows how clever techniques can enhance user experiences with less.

A Crazy Week for AI! 🤯

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Jul 24
🕹 Technology Computing
  1. OpenAI launched SearchGPT, which could compete strongly with Google and disrupt its monopoly. It's exciting to see new options in search engines.
  2. Meta released Llama 3.1, putting it ahead of GPT-4 in terms of AI advancements. This shows how rapidly technology is evolving.
  3. Elon Musk is introducing updates to Grok, aiming to surpass current AI models, which means we can expect even more powerful AI tools soon.

LLMs Getting Cheaper 🤗 🔥

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Jul 24
🕹 Technology Computing
  1. The cost to train large language models, like GPT-2, has dropped significantly, now around $672 for training in just one day. This makes it easier for more people to work with LLMs.
  2. Improvements in hardware, software, and the quality of data have contributed to these lower costs. Better GPUs and tools for training make everything run smoother.
  3. As training becomes cheaper, we can expect more innovations and access to language models, allowing more individuals and businesses to use these advanced technologies.

Friendship aside, AI comes first

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 Jul 24
🕹 Technology Computing
  1. Elon Musk values honest feedback from friends to improve his work. He believes that friends often know what needs to change but may hesitate to share it.
  2. Recently, Musk's business decisions have strained his friendship with Larry Ellison. A major cloud computing deal between their companies fell through.
  3. The fallout from the deal caused a drop in Oracle's stock prices, indicating the financial impact of their fractured relationship.

Happy Claude Day

Sector 6 | The Newsletter of AIM • 0 implied HN points • 22 Jun 24
🕹 Technology Computing
  1. Claude 3.5 Sonnet has just been launched by Anthropic and it outperforms previous models from competitors.
  2. This new model is faster and more cost-effective while still being very smart.
  3. Claude 3.5 is available for free on Claude.ai and the iOS app, with more features for paid subscribers.

Apple Custom Silicon ✨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 May 24
🕹 Technology Computing
  1. The new Apple M4 chip uses advanced 3-nanometer technology. This makes devices like the iPad Pro faster and more energy efficient.
  2. The M4 chip has a powerful Neural Engine that can handle huge amounts of data quickly. This improves features like Live Captions and Visual Look Up.
  3. Apple showcased the M4 chip at a recent event, highlighting its role in enhancing AI capabilities and display quality.

Compute is the New Oil 🖥️⚡🛢️

Sector 6 | The Newsletter of AIM • 0 implied HN points • 10 Apr 24
🕹 Technology Computing
  1. Computing power is becoming as valuable as oil, which means it's a key resource for businesses today. Just like oil transformed the economy, computing is driving innovation.
  2. Big names in tech are working on solving the energy and computing challenges that come with scaling AI services. This is crucial for making AI accessible to more people.
  3. Generative AI is gaining a lot of attention, and there's a push to make these applications work for millions of users. The goal is to provide better services through advanced computing.

All Hail the GPU King

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Mar 24
🕹 Technology Computing
  1. NVIDIA is a leading company in technology and AI, loved by many for its contributions to the AI revolution.
  2. Most tech companies partner with NVIDIA to enhance their capabilities, making it a central figure in the industry.
  3. The high regard for NVIDIA is illustrated by how prominent tech CEOs show great respect for its CEO, Jensen Huang, at events.

Huang’s Law 🔥 🔥🔥

Sector 6 | The Newsletter of AIM • 0 implied HN points • 19 Mar 24
🕹 Technology Computing
  1. NVIDIA's new AI superchip, Blackwell, has massively increased computing power with 208 billion transistors, showcasing a shift from Moore's Law to Huang's Law.
  2. Huang stated that in the last eight years, computational capacity has grown a thousandfold, which is much faster than what was seen previously.
  3. Despite the rapid growth, Huang noted that this progress still might not be enough to meet the industry's increasing demands for computing power.

GPT-V Coming Soon?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Dec 23
🕹 Technology Computing
  1. OpenAI is likely to release GPT-5, also known as GPT-V, sooner than expected due to safety concerns with advanced AI systems.
  2. They have launched a new grant program to support research focused on making AI safer and more aligned with human values.
  3. There's a new preparedness framework in place to help anticipate and protect against potential risks of more powerful AI models.

The Golden Goose of Generative AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Oct 23
🕹 Technology Computing
  1. Generative AI is getting a lot of attention and investment, especially in Silicon Valley. Companies see it as a big opportunity for growth.
  2. Anthropic, a startup in this space, received a massive $4 billion investment from Amazon and is looking to raise even more funds to boost its market value.
  3. To keep up with competition, Anthropic needs money to improve its technology and computational power.

It’s Now or Never for Meta

Sector 6 | The Newsletter of AIM • 0 implied HN points • 22 Sep 23
🕹 Technology Computing
  1. Meta's LLaMA is facing tough competition from both OpenAI and open-source models like Falcon 180B. It's crucial for them to improve and innovate quickly.
  2. There are high hopes for Llama 3 to use better training data, which could make it perform much better than previous versions.
  3. The idea of using Mixture-of-Architecture could be key to improving performance by combining different strengths instead of relying on just one approach.

The AI Success Mantra

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Sep 23
🕹 Technology Computing
  1. There isn't just one way to succeed in AI; different strategies work for different companies and situations. Everyone's path to success is unique.
  2. Companies like NVIDIA, Qualcomm, and Apple are taking different approaches to AI hardware, focusing on everything from supercomputers to on-device models. This diversity helps drive innovation in the field.
  3. Intel is also entering the GPU market and is making plans to compete more closely with NVIDIA, showcasing that the AI hardware landscape is constantly evolving.

Python Ditches GIL for AGI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 01 Aug 23
🕹 Technology Computing
  1. Python has removed the Global Interpreter Lock (GIL), which is a big change. This means Python can handle tasks more efficiently, making it better for advanced projects.
  2. Experts believe that with GIL gone, Artificial General Intelligence (AGI) is now more achievable. This could lead to significant advancements in technology.
  3. Python's journey began without threading support, but it added this feature early on. The removal of GIL shows how the language is evolving to meet new challenges.

The Most Surreal AI Week Ever

Sector 6 | The Newsletter of AIM • 0 implied HN points • 19 Jun 23
🕹 Technology Computing
  1. Microsoft launched voice control for Bing's AI chatbot, allowing users to talk to it and hear its responses. This feature comes as Microsoft plans to end support for its previous voice assistant, Cortana.
  2. Google is changing how people search and shop online, indicating significant advancements in their AI capabilities. These updates aim to enhance user experience and make information more accessible.
  3. Several other companies, like IBM, AMD, and Mercedes-Benz, are making strides in AI technologies. These developments show how rapidly the AI landscape is evolving and impacting various industries.

Abrupt skill emergence in Large Language Models

Intuitive AI • 0 implied HN points • 31 Aug 23
🕹 Technology Computing
  1. General Large Language Model performance can be predicted based on compute, dataset size, and parameter count.
  2. Task-specific abilities in models show abrupt jumps in proficiency as the parameter count increases.
  3. Abrupt skill emergence is observed in models for tasks like adding numbers or unscrambling words as they reach certain parameter thresholds.