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Denmark's largest pension fund, ATP, has announced plans to divest its holdings of U.S. Treasuries by 2026, citing concerns over the U.S. government's fiscal policy and debt levels.

Speech: https://ec.europa.eu/commission/presscorner/detail/da/speech...

The article discusses the trend of 'de-dollarization' as countries seek to reduce their reliance on the US dollar in international transactions, driven by factors such as sanctions, trade disputes, and the desire for greater financial autonomy. It explores the potential implications of this shift on the global financial system and the future of the US dollar as the dominant reserve currency.

The article presents a take-home challenge for evaluating the original performance of language models, focusing on summarizing the key points and maintaining a neutral, informative tone for a website snippet.

Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points.

The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU:

- LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series)

The result: 1M points at 60fps with smooth zoom/pan.

Live demo: https://chartgpu.github.io/ChartGPU/examples/million-points/

Currently supports line, area, bar, scatter, pie, and candlestick charts. MIT licensed, available on npm: `npm install chartgpu`

Happy to answer questions about WebGPU internals or architecture decisions.

The article explores the Zonulet, a 26,000-year-old astronomical monument hidden in plain sight, which aligns with the movement of the sun, moon, and stars, and may have been used by ancient civilizations to track the passage of time and the cycles of the celestial bodies.

https://www.anthropic.com/constitution

For the first time in 25 years, California has no areas classified as 'dryness' or experiencing drought conditions, according to a recent report. The state's improved water situation is attributed to several years of above-average rainfall and snowpack, indicating a significant recovery from previous drought periods.

The article analyzes the potential factors behind the recent crash in Nvidia's stock price, including concerns about the company's data center and gaming revenue growth, as well as the broader economic slowdown affecting the tech industry.

Skip, a new app, has announced that it will be completely free to use. The article discusses the company's decision to make Skip free, highlighting their focus on providing accessible financial services.

I've been trying to get agentic coding to work, but the dissonance between what I'm seeing online and what I'm able to achieve is doing my head in.

Is there real evidence, beyond hype, that agentic coding produces net-positive results? If any of you have actually got it to work, could you share (in detail) how you did it?

By "getting it to work" I mean: * creating more value than technical debt, and * producing code that’s structurally sound enough for someone responsible for the architecture to sign off on.

Lately I’ve seen a push toward minimal or nonexistent code review, with the claim that we should move from “validating architecture” to “validating behavior.” In practice, this seems to mean: don’t look at the code; if tests and CI pass, ship it. I can’t see how this holds up long-term. My expectation is that you end up with "spaghetti" code that works on the happy path but accumulates subtle, hard-to-debug failures over time.

When I tried using Codex on my existing codebases, with or without guardrails, half of my time went into fixing the subtle mistakes it made or the duplication it introduced.

Last weekend I tried building an iOS app for pet feeding reminders from scratch. I instructed Codex to research and propose an architectural blueprint for SwiftUI first. Then, I worked with it to write a spec describing what should be implemented and how.

The first implementation pass was surprisingly good, although it had a number of bugs. Things went downhill fast, however. I spent the rest of my weekend getting Codex to make things work, fix bugs without introducing new ones, and research best practices instead of making stuff up. Although I made it record new guidelines and guardrails as I found them, things didn't improve. In the end I just gave up.

I personally can't accept shipping unreviewed code. It feels wrong. The product has to work, but the code must also be high-quality.

The article discusses the decision by the Curl project to remove its bug bounty program due to concerns about the program being misused and not achieving its intended goals. It highlights the challenges faced by open-source projects in managing bug bounty programs effectively.

This article explores unconventional optimization techniques for PostgreSQL, including understanding query plans, leveraging partial indexes, and using connection pooling to improve performance. The author provides practical examples and insights to help PostgreSQL users optimize their database applications.

The article argues that internet voting is inherently insecure and should not be used in public elections, as it is vulnerable to hacking, tampering, and other security threats that could compromise the integrity of the electoral process.

As expected. Almost the whole company is gone, less than 15 people left in engineering.

The Linux From Scratch (LFS) project provides detailed instructions for building a custom Linux operating system from the ground up, allowing users to gain a deeper understanding of the Linux operating system and its inner workings.

The article discusses the potential risks and safety considerations when running code generated by AI language models like Claude. It explores ways to mitigate these risks, such as using sandboxing, input sanitization, and other security best practices to ensure the safe execution of AI-generated code.

Hey HN, we trained and open-sourced a 1.5B model that predicts your next edits, similar to Cursor. You can download the weights here (https://huggingface.co/sweepai/sweep-next-edit-1.5b) or try it in our JetBrains plugin (https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomp...).

Next-edit autocomplete differs from standard autocomplete by using your recent edits as context when predicting completions. The model is small enough to run locally while outperforming models 4x its size on both speed and accuracy.

We tested against Mercury (Inception), Zeta (Zed), and Instinct (Continue) across five benchmarks: next-edit above/below cursor, tab-to-jump for distant changes, standard FIM, and noisiness. We found exact-match accuracy correlates best with real usability because code is fairly precise and the solution space is small.

Prompt format turned out to matter more than we expected. We ran a genetic algorithm over 30+ diff formats and found simple `original`/`updated` blocks beat unified diffs. The verbose format is just easier for smaller models to understand.

Training was SFT on ~100k examples from permissively-licensed repos (4hrs on 8xH100), then RL for 2000 steps with tree-sitter parse checking and size regularization. The RL step fixes edge cases SFT can’t like, generating code that doesn’t parse or overly verbose outputs.

We're open-sourcing the weights so the community can build fast, privacy-preserving autocomplete for any editor. If you're building for VSCode, Neovim, or something else, we'd love to see what you make with it!

The article discusses the potential of a new search engine, Kagi, which aims to provide a more personalized and privacy-focused search experience compared to major search engines. It highlights Kagi's focus on user control, data privacy, and delivering high-quality search results through a curated approach.

The article argues that IPv6 is not inherently insecure due to the lack of Network Address Translation (NAT), as commonly believed. It explains that IPv6 has other security features that make it a viable and secure alternative to IPv4, challenging the misconception that NAT is necessary for network security.

The article discusses how the development and deployment of artificial intelligence (AI) can undermine and erode traditional institutions, causing disruption and unintended consequences. It explores how AI can challenge existing power structures, create new forms of decision-making, and potentially lead to the displacement of human roles and expertise.

The article examines how Meta's (formerly Facebook) legal team has developed a sophisticated playbook to navigate regulatory challenges and public scrutiny. It highlights the company's strategies in leveraging ambiguous laws, delaying investigations, and influencing policymakers to protect its business interests.

SETI@home is a crowdsourced scientific experiment that uses personal computers around the world to analyze radio signals from space in the search for extraterrestrial intelligence (SETI).

This article explores the cognitive and neural impacts of conversing with a large language model like ChatGPT, highlighting both the benefits and potential risks, such as the model's ability to stimulate critical thinking but also the danger of overreliance and the need for caution when using such systems.

The article explores the concept of 'soft delete' in database management, where records are marked as deleted rather than physically removed. It discusses the benefits of soft deletion, such as maintaining data history and enabling data recovery, as well as the potential challenges and best practices for implementing this approach.

The article explores the 'Unix Pipe Game', a programming exercise that teaches the concept of Unix pipes by challenging users to create a series of commands that accomplish a specific task. The game aims to enhance understanding of how Unix pipes work and their practical applications in real-world scenarios.

Nova Launcher, a popular Android home screen replacement, announces its continued development and future plans, reassuring users that the app is here to stay and will receive ongoing updates and improvements.

This repository tracks the removal of stories from Hacker News, providing insight into the moderation practices of the platform. It serves as a tool for understanding the types of content that are removed and the potential implications for the community.

Transcript: https://globalnews.ca/news/11620877/carney-davos-wef-speech-...