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Best AV Receiver for 2025

AV receivers are notoriously complex, with reams of features and confusing technical specifications. (For example, what's 4K/120Hz anyway?) Yet, what are the things that really matter when buying a new model? I'm going to sum up the most important ones right here. HDMI inputs With most TVs and set-top boxes supporting HDMI, you should buy a receiver that has as many of these HDMI input ports and outputs as possible. Front-mounted HDMI ports are kind of like a human appendix -- unneeded, becaus

Context Rot: How increasing input tokens impacts LLM performance

Recent developments in LLMs show a trend toward longer context windows, with the input token count of the latest models reaching the millions. Because these models achieve near-perfect scores on widely adopted benchmarks like Needle in a Haystack (NIAH) [1], it’s often assumed that their performance is uniform across long-context tasks. However, NIAH is fundamentally a simple retrieval task, in which a known sentence (the “needle”) is placed in a long document of unrelated text (the “haystack”)

Strategies for Fast Lexers

In this blog post I’ll explain strategies I used to make the purple garden lexer really fast. purple-garden is an s-expr based language I am currently developing for myself. Its my attempt at building a language I like, with a battery included approach, while designing it with performance in mind. This doesn’t mean all approaches are feasible for your use case, architecture and design. I tried to bring receipts for my performance claims, so watch out for these blocks at the end of chapters: I

Topics: cc input pos str string

C3 solved memory lifetimes with scopes

2025-07-11 Modern languages offer a variety of techniques to help with dynamic memory management, each one a different tradeoff in terms of performance, control and complexity. In this post we’ll look at an old idea, memory allocation regions or arenas, implemented via the C3 Temp allocator, which is the new default for C3. The Temp allocator combines the ease of use of garbage collection with C3’s unique features to give a simple and (semi)-automated solution within a manual memory management

Optimizing a Math Expression Parser in Rust

Optimizing a Math Expression Parser in Rust Optimizing a Math Expression Parser in Rust Table of contents In a previous post I explored how to optimize file parsing for max speed. This time, we’ll look at a different, self-contained problem: writing a math expression parser in Rust, and making it as fast and memory-efficient as possible. Let’s say we want to parse simple math expressions with addition, subtraction, and parentheses. For example: 4 + 5 + 2 - 1 => 10 (4 + 5) - (2 + 1) => 6 (1

QRS: Epsilon Wrangling

I haven’t shipped any new features for Quamina in many months, partly due to a flow of real-life distractions, but also I’m up against tough performance problems in implementing Regular Expressions at massive scale. I’m still looking for a breakthrough, but have learned things about building and executing finite automata that I think are worth sharing. This piece has to do with epsilons; anyone who has studied finite automata will know about them already, but I’ll offer background for those peop

Google is spicing up Gemini’s home screen with a visual revamp (APK teardown)

Ryan Haines / Android Authority TL;DR Google is working on a new tweak to the Gemini home screen. The change expands the input box and adds a shadow. Corners now only appear on top of the input box. A few weeks ago, we told you about a change that could be coming to the Gemini home screen. That tweak would make the home screen a little more like ChatGPT’s by adding suggestion chips. But it looks like that may not be the only alteration in store for the page. Authority Insights story on Andr

Parallelizing SHA256 Calculation on FPGA

A few weeks ago, I wrote an article where I developed a hash calculator on an FPGA. Specifically, I implemented an SHA-256 calculator. This module computes the hash of a string (up to 25 bytes) in 68 clock cycles. The design leverages the parallelism of FPGAs to compute the W matrix and the recursive rounds concurrently. However, it produces only one hash every 68 clock cycles, leaving most of the FPGA underutilized during that time. In this article we are going to elevate the performance of t

Topics: 31 hash input self wire