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The article discusses several CPU bugs that have been discovered over the years, including issues with Intel's Haswell and Broadwell microarchitectures, as well as problems with speculative execution in modern CPUs. It provides an overview of the potential impacts of these bugs and the measures taken by hardware and software vendors to mitigate them.

The article explores the concept of 'Wirth's Revenge', a phenomenon where programming languages become more complex over time, contradicting the original simplicity principles espoused by Niklaus Wirth. It delves into the factors that contribute to this trend and the challenges faced by language designers in maintaining language simplicity.

MANIFESTO: The End of the Era of Mass and the Dawn of #MasslessCode The software industry is suffering from a terminal case of complacency. We’ve been sold a lie: that to process more, we need "more"—more RAM, more cores, more cloud instances, more budget. Inefficiency has been rebranded as a business model.

As engineers, we have failed. We have accepted that a DMN decision engine—a structure of pure logic—should be a "Tank": a bloated monolith dragging gigabytes of unnecessary libraries and latencies measured in shameful minutes.

Today, Project Velo reclaims the honor of the silicon.

The Test: Science vs. Bureaucracy To prove that efficiency is a programmer’s obligation and not a hardware luxury, we conducted a head-to-head benchmark:

The Battlefield: 5,000 DMN rules of real-world business complexity.

The Stress Load: 100,000 unique test cases processed sequentially.

The Rival (The Tank): Camunda DMN Engine running on an optimized JVM within a 14-thread Enterprise Server.

Our Weapon (Project Velo): Native C++ architecture, built under the #MasslessCode paradigm.

The Disruption Report Camunda (Standard): 1,915,223 ms (~32 min) | 1.25 GB RAM | 14 Threads.

Project Velo (Multi-Core): 8.50 ms | 0.49 KB RAM | 4 Threads.

Factor: 225,320x Faster.

Why They Failed (And Why Velo Wins) The "Java-lovers" and defenders of infinite abstraction have forgotten that memory is not free. Every time your Garbage Collector kicks in, your system stops. Every time your JVM creates an unnecessary object, the processor's cache screams in agony.

Project Velo doesn’t "manage" memory; it lives within it. It doesn’t "abstract" the hardware; it orchestrates it. We have proven that power doesn't come from a $10,000 server, but from knowing exactly what to do with every single clock cycle.

The Final Humiliation: The Toaster vs. The Tank Here is the fact that will break their hearts: Velo didn't run on a server. It ran on an AMD Athlon 3000G. An entry-level, $50 office "toaster."

While corporate giants need a fleet of tanks just to cross a river, we cross it in milliseconds on a racing bike. If your software requires a server cluster to do what we do on a budget CPU while sipping coffee, your architecture is obsolete.

Efficiency is non-negotiable. Code must be lean. Code must be #Massless.

code with core(s) ||

#ProjectVelo #MultiCore #MasslessCode #Performance

The article discusses the Trump administration's decision to end the CIA's production of the World Factbook, a long-standing reference guide on countries around the world. This move was attributed to Director of National Intelligence John Ratcliffe, who cited a need to focus on more pressing national security priorities.

The article introduces Rho, a new programming language that aims to be a general-purpose, high-performance, and memory-safe language. Rho is designed to provide a modern and efficient alternative to languages like C and Rust, with a focus on simplicity, type safety, and performance.

The article discusses Nemotron, a voice dictation tool that leverages artificial intelligence to provide accurate and efficient text transcription. It highlights Nemotron's features, such as real-time transcription, integration with various platforms, and its potential to improve productivity for users.

The article discusses prominent individuals mentioned in the Epstein files, a collection of court documents related to the criminal case against Jeffrey Epstein. It provides information about various public figures, including politicians, business leaders, and celebrities, who were associated with Epstein in some capacity.

Hi HN,

Everyone talks about “provably fair” games, raffles, and loot boxes — but in practice, most implementations still require players to trust the server.

Think about it: the server commits a seed, the player sees a hash, and after the game, the result is revealed. Technically, the house could precompute outcomes and cherry-pick them — even if it’s unlikely.

How can you make randomness truly verifiable without relying on a slow blockchain?

Is there a way to combine player input, server input, and public entropy to make it fully auditable?

And crucially, can this be done without killing real-time performance in a game?

I’m curious what people in production are doing — clever commit-reveal models, public beacon sources, hybrid systems? I’d love to see practical approaches that actually remove trust entirely, not just add a “proof” that still requires faith.

Let’s talk solutions.

The article provides an introduction to MLIR (Multi-Level Intermediate Representation), a compiler infrastructure developed by the LLVM community. It covers the key features, design, and potential benefits of MLIR for building efficient and portable compiler tools.

The article explores the potential of using deep learning models to improve the efficiency and accuracy of image-based plant disease detection, which could significantly enhance agricultural productivity and sustainability.

Metaflow is a Python library that makes it easier to build and manage complex data science workflows. It provides a simple and flexible way to define, run, and monitor data science experiments, and can be used to build scalable and reproducible machine learning pipelines.

Superfocus is a Pomodoro timer and time management app for students who need to focus. It has configurable time blocks, a task list so you never miss deadlines, ambient "cassettes" for study vibe, and a leaderboard. Web app – free tier, monthly or lifetime. I built it after struggling to stay focused during exam prep; would love feedback from other students or remote workers.

Microsoft has announced the open-source release of LiteBox, a lightweight executable container technology designed for cloud-native applications. LiteBox aims to provide a more efficient and secure alternative to traditional container runtimes, with a focus on reducing the resource footprint and attack surface.

The article explores the challenges and opportunities of implementing AI-powered chatbots in customer service. It discusses the benefits of chatbots, such as 24/7 availability and fast response times, as well as the limitations, such as the need for human oversight and the potential for customer frustration.

The article explores the unique phenomenon of traffic mimes in Colombia, who use expressive body movements and gestures to guide and direct traffic in chaotic urban environments, serving as an effective alternative to traditional traffic signals and control systems.

The article discusses the process of creating and integrating edit prediction providers into web applications, highlighting the importance of these tools in enhancing user experience and productivity.

Hi HN,

I built "Dengen Shrine," a web-based experience of a traditional Japanese Shinto ritual.

Key Features:

Privacy by Design: Your "Kotodama" (messages/prayers) are never stored in any database. They exist only in the animation and vanish upon completion.

No Login Required: You can experience the ritual instantly without an account.

Digital Offering: For those who wish to support the project, I’ve integrated a "digital offering" (Osaisen) via Stripe. This is completely optional—you can experience the core ritual for free without any payment. It’s not a donation, but a paid digital experience that unlocks a unique "Completion Message" for supporters.

Why I built this: I wanted to explore how ancient traditions like Shinto can be reinterpreted in a digital, ephemeral way. In Shinto, words have spirits (Kotodama), and I felt that the "ephemeral" nature of the web was a perfect fit for this.

I’d love to hear your thoughts on the UI/UX and the concept of "ephemeral digital rituals."

The article discusses the process professional web analysts use to evaluate website performance and identify areas for improvement, including analyzing metrics, user behavior, and technical aspects of the site.

The article discusses the benefits of using F5 application delivery services to optimize and secure web applications, including increased performance, improved security, and enhanced user experience.

I am building a small text-to-speech model specifically tuned for ASMR and relaxation content.

Most TTS models are designed for clarity and energy. To get that specific "tingles" effect, I fine-tuned this model on a dataset of ASMR recordings to capture the breathiness, whispering, and soft dynamics that standard models usually filter out.

Currently, the control is text-only (no speed or pitch sliders yet), but there is an interesting emergent behavior:

Because of the training data, the model sometimes "hallucinates" or generates ambient background sounds—like crackling fire, ocean waves, or soft static—along with the voice, depending on the context of the text you input. It’s not a background track mixer; the model is actually generating these sounds as part of the audio output.

I put up a simple web demo to test it out. I'd love to hear what you think about the voice texture and if you encounter any interesting ambient generations.

Check it out here: https://www.aiasmrvoice.com/en

Switching between Postman and Dbeaver, then any random JSON viewer, PDF parser online is boring and frustrating - especially when you have to test the same case again and again.

So I built an all-in-one API client, DB client, and Data Inspector.

What you can do with it:

1. Data inspector tool

It all started as a simple web tool for running multiple JSON queries. When I work with REST APIs, I get tired of testing the same endpoint and searching for the same set of fields over and over with Ctrl+F.

Main features: - Support JSON, XML, or base64 encoded JSON - Search by key, value - Format/minify - Multiple JSONPath query - Data preview (Image, PDF, Table)

2. API Client

Copying API responses into the Data Inspector manually was still a pain, so I added a built-in API client and integrated the Data Inspector right into it.

Now you can inspect responses instantly without switching tools.

3. DB client

Copying data (usually otpCode or some kind of secret you can't get from REST APIs) from a DB tool to the API client is boring. Same thing when you need to copy an object ID from an API response and query it in the database.

So I added a simple DB client. Nothing fancy - just a schema explorer and SQL query support.

4. Shared variables

All parts of the app - API client, DB client, and Data Inspector - can extract and reuse shared variables, just like Postman.

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So yeah, what started as a small JSON tool slowly grew into a full dev tool. The goal is simple - make daily dev tasks less annoying.

Small note on downloads: the app is still early and doesn't have many users yet, so you might see a security warning during download. The Windows version is signed with my personal Individual Certificate, so you'll see "Lac Tran An" as the publisher.

It comes with a 14-day free trial (no credit card needed), and there's an early bird $40 lifetime license.

I'd really appreciate any feedback - especially what feels useful or annoying. Hope it helps with your daily workflow.

Thanks for reading.

This article explores OpenAI's Codex, a powerful AI model that can translate natural language into code, making it easier for users to create software. Codex aims to unlock new possibilities for automating programming tasks and expanding access to coding capabilities.

Substack, a popular newsletter platform, suffered a data breach that led to the leak of nearly 700,000 user records. The breach exposed sensitive information, including email addresses, passwords, and other personal data, raising concerns about the security and privacy of Substack users.

The article discusses the importance of protecting the right to sue federal agents who violate constitutional rights, and how a Supreme Court decision could undermine this crucial accountability measure.

Pixwit.ai is an AI-powered platform that provides image editing and enhancement tools. The platform uses advanced machine learning algorithms to help users quickly and easily edit, retouch, and enhance their images.

This paper proposes a novel deep learning model for efficient object detection, outperforming state-of-the-art methods on several benchmark datasets while maintaining real-time inference speeds.