AI 资讯

Google Health Coach seems to think I'm on the verge of physical collapse. My sleep is not where it needs to be, hence my unimpressive readiness score. My heart rate variability, a measure of how recovered I am, is below baseline. I'm spending too much time in a hot, humid environment, it says, reminding me […]

Hi all! TikZ is a widely-used LaTeX package for drawing figures in papers. It uses commands like \draw[->] (0,0) -- (1,2); to draw lines, shapes, text, etc. Academics usually code up their figures by hand, so there is lots of twiddling around with the coordinates and recompiling until things look nice. I guess it’s a bit like SVG, but it’s more code than markup, for example it has loops with \foreach. I built an open-source WYSIWYG TikZ editor (available for web and desktop) that allows you to e

The smart glasses are available in several countries starting today in a variety of color and lens combinations.

You knew there’d be a Hoto deal, right? Whether you’re moving into a new apartment or tackling a growing list of small repairs around the house, a good electric screwdriver can save you time and effort. Hoto’s 3.6V Electric Screwdriver Kit Pro is one we love to recommend, especially because it’s on sale for $28.49 […]

Tonally, the trailer gives strong vibes akin to the director's 2016 feature Hunt for the Wilderpeople .

Yes, the Oura Ring 5 just launched. But if you’re looking for a bargain and don’t mind a slightly thicker smart ring, then copping the last-gen Oura Ring 4 is still a smart and savvy move. Especially since the price is as low as $226 in most sizes and color schemes at Amazon for Prime […]

Apple TV+ offers some great entertainment at a reasonable price, but there are ways to bring the cost down even further.

When Sony announced the Xperia 1 VIII last month, it promoted the phone by sharing some of the worst photos taken on a Sony camera in years. These weren't just any photos, though: they were taken with Sony's new AI Camera Assistant. After a week with the Xperia 1 VIII, I'm here to tell you […]

I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughl

Sean Klein discusses why "human error" is a dangerous myth in complex systems. Sharing the inside story of Azure’s 2023 global WAN outage, he explains how modern incident analysis looks past the "Five Whys" to uncover systemic issues. Learn how engineering leaders can move away from blame, improve Standard Operating Procedures, and design resilient systems that actively protect their engineers. By Sean Klein

OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation.

If you’ve been thinking about picking up a Kindle, Amazon’s Prime Day sale is a great time to do it. The retailer is currently offering steep discounts on several of its e-readers, including the latest Kindle Paperwhite with 16GB of storage and ads, which is down to $124.99 ($35 off) at Amazon. If you’d prefer […]

This is not a review of the MSI Claw 8 EX AI Plus, the first gaming handheld available with Intel's new Arc G3 Extreme handheld gaming chip. Now that my colleague Sean Hollister is done reviewing the Steam Machine, I'll let him go deep on the new Claw at some point in the future. This […]

For the past three years, "Meta" and "Ray-Ban" have been synonymous in the smart glasses space. Not anymore. Yesterday, I slipped on several pairs of Meta Glasses - no Ray-Bans - in three different styles and seven colors. One style, I was told several times by various enthusiastic Meta spokespeople, is a collaboration with socialite […]

The hiring process has long been criticized for its inefficiency and opacity. Candidates spend hours writing applications and submitting cover letters, only to disappear into what often feels like a black box. Generative AI has only made things messier, with employers increasingly relying on AI-powered screening systems to sift through an overwhelming number of submissions. […]

Intel and MSI have teamed up to create what might be the most powerful handheld gaming PC on the market.

Data-Oriented Design in C#: Why Objects Are Slowing You Down In my previous article, we talked about starving the Garbage Collector by moving away from heap-allocated class types and leaning heavily into struct , Span<T> , and ArrayPool<T> . That’s a critical first step, but it only solves half the problem. You’ve stopped the GC from pausing your app, but you might still be leaving massive amounts of CPU performance on the table. Why? Because of how your data is structured. It’s time to talk about Data-Oriented Design (DoD) . The Object-Oriented Trap We are taught from day one to model our code after the real world. If you are building a social network graph, you might write something like this: public class UserNode { public int Id { get ; set ; } public string Name { get ; set ; } public List < Edge > Connections { get ; set ; } } public class Edge { public UserNode Target { get ; set ; } public int Weight { get ; set ; } } This makes perfect logical sense. A user has connections, and those connections point to other users. But modern CPUs don't care about your logical models. A CPU only cares about reading data from memory into its L1/L2 caches as fast as possible. When a CPU reads a byte from RAM, it doesn't just read that one byte; it pulls a whole 64-byte "cache line" under the assumption that you will probably want the neighboring bytes next. When you loop through a List<UserNode> , traversing from object to object, you are jumping randomly across the heap. The CPU pulls a cache line, reads your data, and then has to go fetch a completely different block of RAM for the next node. This is called pointer chasing , and the resulting cache misses are devastating to performance. Enter Data-Oriented Design: Struct of Arrays (SoA) Data-Oriented Design says: Stop modeling the real world. Model the data the way the hardware wants to consume it. Instead of an Array of Structs (AoS) (or an array of objects), we invert the architecture to a Struct of Arrays (SoA) . If we