The hottest Hardware Substack posts right now

And their main takeaways
Category
Top Technology Topics
Miner Weekly 0 implied HN points 21 May 22
  1. The Chinese mining industry may still be active despite government bans, as new data suggests they may have gone underground to continue operations.
  2. New York State's regulatory uncertainty is causing Bitcoin miners to give up on the state, impacting the once-attractive environment for miners.
  3. Various mining companies are experiencing fluctuations in revenue and earnings, with some like Stronghold Digital beating revenue estimates but missing on earnings, while others like Argo Blockchain seeing a significant plunge in net income.
Miner Weekly 0 implied HN points 07 May 22
  1. The New York Mining Moratorium bill is advancing, potentially impacting crypto mining operations in the state.
  2. Big names in Bitcoin like Jack Dorsey and Michael Saylor are collaborating to defend crypto mining against environmental concerns.
  3. Financial updates include Argo borrowing $70M to buy mining rigs, Riot selling half of its mined Bitcoin, and Marathon Digital considering selling some Bitcoins.
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Miner Weekly 0 implied HN points 09 Apr 22
  1. Bitcoin miners have shown strong growth in Q1 production, collectively mining 12,131 BTC over three months.
  2. Regulatory challenges are affecting the mining industry, with delays in NY and Texas approval processes.
  3. Companies in the mining sector are making significant financial moves like IPO filings, acquisitions, and public offerings.
Power Platform News 0 implied HN points 24 Jan 24
  1. New hardware technology like the Rabbit R1 AI device is changing how we interact with AI and Large Language Models.
  2. The potential for AI devices to act as full assistants that learn from user preferences is significant, potentially impacting various sectors like HR, medical, and manufacturing.
  3. The intersection of technologies within AI, such as LLMs and LAMs, presents opportunities for world-changing inventions, but only time will reveal their true impact.
Thái | Hacker | Kỹ sư tin tặc 0 implied HN points 10 Jun 08
  1. Firewalls cannot provide absolute protection as they themselves can also be targeted in cyber attacks.
  2. Adding security devices like firewalls can introduce new vulnerabilities to a system.
  3. Complex systems with intermediary devices like firewalls can make the system less secure and increase the potential attack surface.
Thái | Hacker | Kỹ sư tin tặc 0 implied HN points 17 Jul 07
  1. Virtual appliances help save time and resources by allowing quick setup of servers for development and testing purposes.
  2. Using virtual appliances eliminates the need for extra physical infrastructure such as racks and data centers, reducing costs significantly.
  3. Virtual appliances offer benefits like isolated applications, simplified management, and easy distribution of software, making them a trend for IT systems worldwide.
Thái | Hacker | Kỹ sư tin tặc 0 implied HN points 11 Nov 06
  1. The Broadcom BCMWL5.SYS wireless driver had a serious vulnerability due to a stack-based buffer overflow triggered by a long SSID field.
  2. Linksys was the only vendor with an official update patch available, while other vendors may have patches for later driver versions.
  3. Users were advised to update their Broadcom wireless card drivers to avoid potential exploitation by a Metasploit module targeting the vulnerability.
Paul’s Substack 0 implied HN points 15 Jun 24
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 17 Jul 24
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 27 May 24
  1. NVIDIA had an incredible revenue increase of 629% compared to last year, showing how much generative AI is growing. It’s like finding unexpected money!
  2. Their data center revenue reached $22.6 billion, which is also a record. Demand for their GPU technology is really high right now.
  3. The success of generative AI is not slowing down, and NVIDIA is a key player in this tech market, with a 95% control over AI chip sales.
Sector 6 | The Newsletter of AIM 0 implied HN points 08 May 24
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 21 Mar 24
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 19 Mar 24
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 27 Sep 23
  1. Apple focuses on edge AI rather than the generative AI trends many others are exploring right now. This means they want to run AI processes on devices instead of relying on servers.
  2. They are working with Stability AI to enhance their products, like Stable Diffusion, which shows they are interested in improving on-device capabilities.
  3. With on-device AI, Apple can protect user privacy, allow offline access, and help developers save money on server costs. This strategy highlights their commitment to user-friendly technology.
Sector 6 | The Newsletter of AIM 0 implied HN points 20 Sep 23
  1. NVIDIA has been the leader in the GPU market for a long time, but Intel is closing in fast. This competition is great for consumers because it can lead to better products and prices.
  2. In a recent performance test, NVIDIA was still the best, but Intel did really well, taking second place. This shows that Intel is becoming a strong competitor in AI computing.
  3. The rivalry between these tech giants means exciting advancements in AI hardware are on the way. Consumers can expect improved technology and options as these companies push each other to innovate.
Sector 6 | The Newsletter of AIM 0 implied HN points 17 Sep 23
  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.
Sector 6 | The Newsletter of AIM 0 implied HN points 06 Jun 23
  1. Apple is launching a new VR headset called Vision Pro, which mixes digital content with the real world. This makes it much more advanced than other headsets like Meta’s Quest 3.
  2. They also introduced the M2 Ultra chip, which is a big upgrade with faster performance than its predecessor. This chip boosts both processing and graphics power significantly.
  3. These announcements show that Apple is still a major player in technology innovation and could change various industries once again.
Sector 6 | The Newsletter of AIM 0 implied HN points 09 Feb 23
  1. Efficient matrix multiplication can save a lot of computing power when training and using AI models. This can help in speeding things up for tasks that need a lot of data processing.
  2. Other methods like quantisation and model shrinking can reduce computing needs, but they can also lose some accuracy. It's important to balance efficiency and precision.
  3. There's a fierce competition between major companies like Microsoft and Google to create the best AI technologies, each using different systems for calculations. It's interesting to see how this battle impacts the tech world.
Sector 6 | The Newsletter of AIM 0 implied HN points 31 Jan 23
  1. Nvidia is struggling to keep up in a fast-changing market despite its success. It's hard for them to stay relevant as new technology comes out.
  2. The shift in Ethereum from proof-of-work to proof-of-stake caused Nvidia's GPU prices to drop significantly. This change affected many of their products and hurt their stock prices.
  3. Big tech layoffs are a common topic now, and there are debates about whether layoffs are good or bad for the companies and employees involved. These discussions are important as the job market shifts.
The Future of Life 0 implied HN points 08 May 23
  1. Moore's Law isn't necessary for an intelligence explosion. Current technology is already faster than human brains, and we can improve intelligence through new approaches rather than just faster hardware.
  2. An intelligence explosion doesn't need a fully sentient AI; a simple algorithm that improves itself could create better versions over time. This could happen even with very focused tasks.
  3. There aren't strict limits to intelligence based on human brain evolution. Transistor technology and new designs can potentially lead to smarter systems, beyond what evolution has achieved.
filterwizard 0 implied HN points 08 Sep 24
  1. Choosing the right decoupling and regulator output capacitors is important. These choices can affect how well your op-amp circuits work.
  2. Temporary signals on an op-amp's supply pins can impact its output. This can be critical if your system needs to be very accurate.
  3. Using too much of a certain type of capacitor can lead to unexpected issues. It's better to choose components that match the recommendations from manufacturers.
HackerNews blogs newsletter 0 implied HN points 29 Oct 24
  1. There are many interesting ways to operate Android devices on FreeBSD, showing that different systems can work together.
  2. In tech discussions, it's common for people to love technology but also express frustration with the industry itself.
  3. Learning about new programming tools and methods, like using Odin for Golang developers or integrating language models in .NET projects, can help improve skills and efficiency.
HackerNews blogs newsletter 0 implied HN points 20 Oct 24
  1. Data is often messy and unreliable, making it hard to work with. It's important to find good, trustworthy data sources for better decision making.
  2. Technology is changing quickly, and we need to adapt to stay competitive. Keeping up with trends, like AI and new software, can give a big advantage.
  3. Understanding tools and software setups, like Neovim, can enhance productivity. A good setup can help you work faster and more efficiently.
Dana Blankenhorn: Facing the Future 0 implied HN points 14 Oct 24
  1. Moore's Law makes technology cheaper and faster, but Huang's Law shows that AI hardware costs and requires more energy, making things more expensive overall.
  2. Current AI models, like Large Language Models (LLMs), can't truly think; they just pull information from existing data without understanding it.
  3. As the demand and costs for using AI grow, smaller LLMs that can actually help people may become more valuable and useful.
Handy AI 0 implied HN points 01 Nov 24
  1. GitHub is expanding its tools for developers, including new AI integrations. This gives more options for coding tasks and allows users to create applications in plain language easily.
  2. OpenAI is challenging big search engines with its new ChatGPT Search, which provides real-time data and integrates various updates like news and weather.
  3. Apple has launched its own AI, called Apple Intelligence, which offers improved features on iPhones, like better Siri responses and advanced photo editing tools.
Handy AI 0 implied HN points 11 Oct 24
  1. Tesla launched a new robotaxi called Cybercab that doesn't have a steering wheel or pedals. It's expected to be priced under $30,000 and available by 2026.
  2. Microsoft is introducing AI tools to help healthcare workers with tasks like medical imaging and paperwork. This aims to make their jobs easier and more efficient.
  3. AMD is competing with Nvidia by launching a new AI chip called Instinct MI325X, set to start production next year. Nvidia’s latest chips are already sold out for the next year.
QV’s Substack 0 implied HN points 22 May 24
  1. There was a big security flaw found in a quantum computing controller, which allows access to quantum machines through a default username and password. This means anyone who knows this can control the quantum hardware connected to it.
  2. Changing the default password is crucial but can lead to new problems if not done properly. The researchers are recommending a better way to ensure passwords are secure from the start.
  3. Quantum computers are involved in highly sensitive areas like finance and medicine, so protecting their security is very important to prevent data breaches and attacks. Researchers are pushing for improved security measures to safeguard these advanced systems.
Peter’s Substack 0 implied HN points 15 Aug 24
  1. AI technology is improving but mostly in small ways, with major breakthroughs not happening just yet. Many tools are getting faster and cheaper, making them easier to use.
  2. New datasets and improved video generation are exciting developments. Companies like Microsoft and Apple are working on systems that learn from our daily computer use to help automate tasks.
  3. The future of AI holds two possibilities: gradual improvements with existing technology or significant breakthroughs that could change everything. Both paths are possible, so it's important to be ready for either outcome.
ASeq Newsletter 0 implied HN points 03 Dec 24
  1. The NextSeq 550 has a specific image sensor design that is being explored in detail. Understanding its components can help improve its use.
  2. Previous experiments with LEDs and dyes have provided insights into the image sensor's capabilities. Learning from these tests can enhance the device's performance.
  3. There are various posts that contain helpful observations about the NextSeq 550's imaging and fluidic systems. These notes can serve as valuable references for users and researchers.
Kartick’s Blog 0 implied HN points 09 Dec 24
  1. Buying a new laptop is the best solution for outdated devices. It gives you better hardware and support for years to come.
  2. Upgrading to a supported operating system, like a recent version of Linux, can help obsolete laptops work better, though some features may not be compatible.
  3. Using unsupported operating systems can lead to security issues and software problems. It's risky, especially for learning or important tasks.