The hottest Hardware Substack posts right now

The recent Bitcoin halving really affected how much miners earn. Even though their revenue dropped, rising Bitcoin prices helped a bit.
Publicly traded Bitcoin mining companies are seeing a lot of ups and downs compared to Bitcoin itself. Firms with better equipment and finances are doing better than others.
Bitcoin miners need to keep upgrading their technology and operations to stay competitive, especially after big events like halving that change their earnings.

SemiAnalysis has moved to a new website, SemiAnalysis.com. It's grown beyond what Substack can provide.
Substack will no longer be updated, so it's best not to subscribe there anymore.
The team is thankful for the time spent on Substack but is excited for the new possibilities ahead.

Smartphones today have much more power than computers from just 25 years ago. This shows how quickly technology improves, with more parts being added to chips every few years.
There’s a slowdown coming in AI growth because we need special, big computer systems to run these complex programs. As we reach limits in technology, we might have to focus more on improving software instead of just making computers faster.
Even though AI is advancing quickly, there are challenges like the lack of special chips and the environmental impact of new data centers. This means the future of AI development might not be as fast as we expect.

NVIDIA is leading the way in AI technology, and their new RTX Blackwell chip is really powerful, making gaming and other processes faster and more efficient.
Project Digits is an exciting new product that allows for powerful AI processing in a compact and portable form, which could change how we use AI at home.
NVIDIA's focus on world models and agents signals a shift towards more sophisticated AI systems, making it clear they are planning for a future where AI plays a bigger role in daily life.

The Arducam Mira220 is a special camera sensor that works really well with infrared light and connects to a Raspberry Pi.
A cool feature is that it has a monochrome look and can actually be modified for better performance by changing the lens.
There's also a plan to build a custom enclosure for this camera to keep it safe and functional during experiments.

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An HDMI to USB-C display port converter is useful for connecting devices like AR glasses to other tech, like a Raspberry Pi. It can help you create cool projects that blend technology and fun.
Exploring the inside of tech gadgets, like the converter, can reveal the chips and designs used in them. This knowledge can inspire new ideas or even lead to creating your own versions.
There are helpful resources available, such as open source designs using the chips from devices like the converter. These can guide you in making or improving your own tech projects.

Movist Pro is rated as the best HDR video player for Mac, outperforming other players like IINA and VLC in tests.
The testing was done using various scenes from movies, and Movist provided the most accurate color and brightness compared to its competitors.
VLC and Optimus Player performed poorly, with VLC being especially noted for its lack of quality, so it's advised to uninstall it for a better viewing experience.

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Content Addressable Memory (CAM) chips are used in routers to make quick searches based on data content instead of addresses. This helps manage MAC address tables efficiently.
The post includes photos of a Hitachi Router line card and its components after being treated in acid. This process reveals more details about the chips used inside.
Understanding how these chips work is crucial for networking, and they enhance the speed of data processing in devices like routers.

AMD expects their AI business to grow to over $10 billion a year. This shows they are really focusing on artificial intelligence as a big part of their future.
They are planning to create an AI Developer Cloud, which will help developers access tools for building AI applications. This could make it easier for more people to work on AI projects.
AMD believes that training AI models will be the main focus in 2025. This means they are shifting gears from just inference tasks to actually training the models needed for AI.