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The article discusses an experimental game called Slop Evader, which challenges players to navigate a virtual environment while avoiding obstacles that appear unexpectedly. The game explores the concept of 'sensory slop', where the player's inputs are intentionally distorted to create a more challenging and unpredictable gameplay experience.

Bricklink, a leading online marketplace for LEGO enthusiasts, has suspended operations in 35 countries due to new regulations and compliance requirements. This move affects buyers and sellers in these regions, disrupting the global LEGO trading community.

The official APK for the SmartTubes app was found to be compromised with malware, putting users' devices at risk. The article advises users to uninstall the app immediately and take appropriate measures to secure their devices.

The article criticizes Grokipedia, a new online encyclopedia, for deviating from the principles that have made Wikipedia successful, such as human curation, transparency, and a focus on providing useful information to readers.

Ly is an open-source, lightweight, and cross-platform programming language that aims to be easy to learn and use, with a focus on simplicity, readability, and expressiveness. It provides a high-level and concise syntax, allowing developers to write efficient code quickly and efficiently.

The article reports on the impressive performance of the iPad Pro M5 chip, which showcases significant advancements in neural processing capabilities compared to previous iPad models. The benchmarks highlight the chip's ability to handle advanced machine learning tasks efficiently, indicating the device's potential for powerful computational applications.

The article explores the concept of consciousness, examining various philosophical and scientific perspectives on the nature of subjective experience and the underlying mechanisms that give rise to it. It delves into the ongoing debate around the hard problem of consciousness and the search for a unified theory that can explain the phenomenon of conscious awareness.

The article explores how Karl Marx's ideas from the 19th century can be applied to the current AI bubble, where speculative investments and hype around new technologies create an artificial sense of value. It highlights Marx's analysis of the mechanisms behind such economic bubbles and their potential for collapse.

The article discusses a group of Silicon Valley engineers who are building a free, open-source Chinese language AI model to challenge the dominance of large tech companies. The goal is to create an alternative to proprietary AI models and make advanced language technology more accessible.

Fortnite players have expressed concerns about the presence of AI-generated images in the game, with some believing they have identified such images and criticizing their inclusion as 'AI slop'.

The article explores the phenomenon of Stephenville, Texas residents reporting UFO sightings and their interactions with government agents, drawing connections to the popular Netflix series Messengers. It examines the ongoing debate around the credibility of these claims and the wider implications for the public's understanding of UFOs and government involvement.

The article explores writing as a form of psychotechnology, a tool that can be used to shape consciousness and perception. It discusses the potential of writing to influence and manipulate human thought and behavior, and the implications of this power.

The article examines the rise and influence of David Sacks, a prominent venture capitalist and former COO of PayPal. It explores Sacks' investment strategies, his involvement in various tech companies, and his growing impact within the startup ecosystem.

Readeck is an online platform that provides access to a wide range of eBooks, audiobooks, and other digital content. The platform offers a subscription-based model, allowing users to explore a diverse library of literary works across various genres and languages.

Posty is an open-source project that provides a simple and lightweight API server for managing and sharing posts. The article discusses Posty's features, such as support for different post types, authentication, and customizable templates, making it a versatile solution for building personal blogs or small-scale content management systems.

The article discusses how a type of fungus found in the Chernobyl nuclear disaster site has evolved an incredible ability to absorb radiation, potentially paving the way for new applications in radiation protection and cleanup efforts.

It has been almost 10 years since I started the opencv-python packaging project. Scaling it to more than 100 million downloads as a side project showed me how much ease of installation and proper package distribution matter to users. It gave the computer vision ecosystem a noticeable boost. Now I have a new idea that I hope can help even more people across the broader software engineering world.

A while ago, I realized I kept giving the same advice to teammates and friends when they ran into a programming issue they couldn't easily solve: go to GitHub and look at how others solved it.

There is a huge pool of underused example material across open source. Most problems developers face are not that novel. With enough digging, someone has already solved the same issue in code or at least posted a workaround to an issue or discussion thread.

The trouble is that GitHub search is limited and works only when you already know the right keywords. You also need the time and patience to go through and read all the results, connect information across files, repositories, issues, discussions, and other metadata, and then turn that into a working solution. The same limitations apply to Stack Overflow and other search tools.

LLMs changed a lot, but they did not change this. They do not perform equally well across all programming languages, and their training data is always stale. They cannot reliably show how to combine multiple libraries in the way real projects do. For these and many other cases, they need a real, canonical code example rather than an outdated piece of documentation written for humans.

That is why I started building GitHits. It is designed to handle the work that humans and AI coding agents struggle with: finding real solutions in real repositories and connecting the dots across the open source ecosystem.

GitHits searches millions of open-source repositories at the code level, finds real code and surrounding metadata that match the intent of your blocker, and distills the patterns it finds into one example.

The initial product is in private beta, with MCP support to connect GitHits to your favorite coding agent IDE or CLI.

What makes it different from Context7 and other generic documentation search tools:

- It is built around unblocking, not general search

- It does not require manual indexing jobs

- It works for humans through the web UI and for agents through the MCP

- It clusters similar samples across repositories so you can see the common path real engineers took

- It ranks the sources using multiple signals for higher quality: the selected sources might be, for example, a combination of code files, issues, and docs

- It generates one token-efficient code example based on real sources

It is not perfect yet. Right now, GitHits supports only Python, JS, TS, C, C++, and Rust. More languages and deeper coverage are coming, and I would appreciate early feedback while the beta is still taking shape. If you have ever lost hours stuck on a blocker you knew someone else had solved already, I would love to hear what you think.

The article discusses the dominance of wild mammal biomass on Earth, highlighting that wild mammals now make up only a small fraction of total mammal biomass, with the majority being livestock and humans. It analyzes the shift in mammalian biomass over time and the implications for conservation efforts.

hey HN,

I’ve been building this project through a lot of late nights and messy iterations, and it’s finally stable enough to share.

utm.one is a clean, distraction-free URL shortener with built-in UTM discipline. it auto-prevents duplicates, applies consistent naming, and keeps your tracking clean using the Clean-Track framework .

I’m launching a controlled beta, so things are intentionally simple and safe for testing.

would love feedback on:

1. does the flow feel intuitive? 2. anything confusing or missing? 3. would you trust it for real campaigns?

Website - https://utm.one

next up: a partner + affiliate program built into the same tracking architecture.

thanks for taking a look any feedback (good or brutal) really helps.

The article explores the potential for 'amoral drift' in AI-driven corporate governance, where AI systems make decisions that prioritize profit over ethics or the public good. It examines the need for legal and regulatory frameworks to ensure AI is developed and deployed responsibly in corporate settings.