1. Show HN: What should the GUI for AI agents look like? (marbleos.com)

A workspace with visible files, tools, tasks, and outputs — not buried in chat threads.

MarbleOS aims to reshape how users interact with AI agents by drawing inspiration from iconic graphical user interfaces like those from Xerox PARC and the Macintosh. The creators discuss the evolution from command-line interactions to intuitive visual interfaces, highlighting the importance of making complex functionalities accessible and user-friendly.

2. Dubious research tied to Red Bull has shaped energy drink policy (www.theexamination.org)

The company paid scientists whose studies largely found that mixing energy drinks and alcohol isn’t harmful, contrary to most research.

Research funded by Red Bull has influenced energy drink regulations by supporting claims that mixing their products with alcohol is safe, despite contradicting evidence from independent studies. This raises concerns about the integrity of research and its impact on public health policies.

4. The AI trade now runs on borrowed money, and the lenders are repricing it (greyswansignals.com)

Grey swans are foreseeable risks most investors miss. Grey Swan Signals tracks market stress across volatility, valuations, credit, liquidity, & bank health in one place.

Investors are increasingly overlooking potential risks, referred to as “grey swans,” that could impact the AI trade. Grey Swan Signals offers a comprehensive tool to monitor various market stress factors, including volatility and bank health, to help navigate these challenges.

7. The Maxwell Conjecture Is False (GPT 5.6 Sol) (arxiv.org)

We exhibit a configuration of five point charges in Euclidean space whose electrostatic potential admits at least 24 critical points all of which are non-degenerate. Maxwell's conjecture that the field of \(n\) point charges has at most \((n-1)^2\) critical points which are all non-degenerate is therefore false.

A new configuration of five point charges challenges Maxwell’s conjecture by demonstrating at least 24 non-degenerate critical points in their electrostatic potential. This finding highlights a significant deviation from the previously accepted limit on critical points for point charge systems.

9. Algorithms on billion-scale graph using 10GB RAM: I love DataFusion (semyonsinchenko.github.io)

In a previous post, I was sceptical about using Apache DataFusion for graph analytics. However, after some thought and experimentation, I changed my mind. I have reconsidered my approach and now have a working implementation of basic graph algorithms, such as WCC, PageRank and MSSP. For example, I can identify weakly connected components in a graph with two billion edges using just 10 GB of RAM and two cores. This is one of the most widely used graph algorithms and lies behind most entity resolution. The pure CSR of this graph requires over 15 GB of raw memory (or 30 GB if it is treated as undirected, as WCC requires). The hard limit was 10 GB of RAM when using systemd-run -p MemoryMax=10G, and the process was successful. Not Vibe-coded.

After initial skepticism, the author shares their successful experience implementing key graph algorithms with Apache DataFusion, demonstrating its efficiency in handling large-scale data. With just 10 GB of RAM and two cores, they reveal how to analyze graphs with billions of edges, showcasing practical applications in entity resolution.

10. Let's make the worst Htmx (zserge.com)

Learning how htmx works by building one from scratch.

Learn how to construct a basic version of htmx, gaining insights into its functionality and mechanics along the way. This hands-on approach is perfect for developers looking to deepen their understanding of web technologies.

11. Arch Linux disables AUR package adoption (lwn.net)

The Arch Linux DevOps team has announced that adoption of orphaned packages in the Arch User Re [...]

Arch Linux has decided to halt the adoption process for orphaned packages in the Arch User Repository, impacting how users manage and maintain these packages. This change is significant for the community, as it alters the way package maintenance and support will be handled moving forward.

13. The mean means nothing: data visualization to debug a latency problem (fzakaria.com)

I was recently trying to validate some performance improvements related to lld at $DAYJOB and it was a little frustrating to see the improvements in our benchmarks but not in the live-production dashboards.

The author shares their experience of grappling with performance improvements in a production environment that didn’t reflect in live dashboards, emphasizing the challenges of relying solely on mean data for troubleshooting latency issues. This insight highlights the importance of effective data visualization in identifying real-world performance metrics.

14. Online Friends Are Real Friends (toska.bearblog.dev)

A few days ago I booked my flights to not only attend a professional event, but also visit and stay with one of my best friends next month. This will be the ...

The author shares their excitement about traveling to see a close friend they met online, highlighting the genuine connections that can form through digital interactions. It’s a personal reflection on the importance of these relationships in our lives.

16. Authorize, don't authenticate (blog.marcua.net)

Hold on to your data by keeping it in your own database

Storing your data in your own database can enhance security and control, reducing reliance on third-party authentication methods. Learn how this approach can help you better manage and protect your information.

19. Where .env Went Wrong (secretspec.dev)

A local convenience became a secrets interface, an environment model, and a deployment format. It was never designed to be any of them.

The article critiques how the .env file has evolved beyond its original purpose, illustrating its unintended roles in managing secrets and environments in software development. It highlights the potential pitfalls of relying on a tool that wasn’t designed for such critical tasks.

20. U.S. debt-to-GDP ratio reaches 123% (fred.stlouisfed.org)

View the ratio of federal debt to the economic output of the U.S., which can indicate economic health and the sustainability of government borrowing.

The U.S. has hit a debt-to-GDP ratio of 123%, raising concerns about economic health and the sustainability of its borrowing practices. Understanding this ratio can provide insights into the country’s financial stability and future fiscal policies.

22. Anti-fraud tools can't keep pace with scammers exploiting cheap internet calling (broadbandbreakfast.com)

Panelists warned that anti-fraud tools can't keep pace with scammers exploiting cheap internet calling and AI.

Experts caution that current anti-fraud measures are struggling to combat the rising threat of scammers who are taking advantage of affordable internet calling and advancements in AI technology. The discussion highlights the urgent need for more effective solutions to protect consumers.

23. Destroying a Community with a Gigantic "Clogged Vacuum Cleaner" (gizmodo.com)

My God, the looks on the faces of the people who have to live next to this...

Residents are facing a bizarre and disruptive situation with a massive vacuum cleaner that has turned their community upside down. The article captures their reactions and the impact of this unusual problem on their daily lives.

25. Ruby Central's Destructive Legacy (andre.arko.net)

At conferences and meetups, and in conversations online, many Ruby developers have asked me about Ruby Central and my disagreement with them. This post is my attempt to answer the questions I’ve been getting over and over, covering: 1) what is Ruby Central doing now? 2) has the dispute over Bundler and RubyGems been resolved? 3) what has Ruby Central said about the dispute? and 4) what can Ruby developers do now?

Ruby developers are seeking clarity on the ongoing issues surrounding Ruby Central, particularly regarding the Bundler and RubyGems dispute. This piece provides insights into Ruby Central’s current activities and offers guidance for developers navigating these challenges.

26. Termixer (TUI DJ Mixer) (github.com)

A 2-deck mixer, sample pads, sequencer— all from any Unix terminal. - l00sed/termixer

Termixer allows users to mix music directly from a Unix terminal, featuring a 2-deck setup, sample pads, and a sequencer. It’s a unique tool for DJs looking to integrate their craft into a command-line environment.

28. A GTK4 SSH-askpass in Zig (xn--gckvb8fzb.com)

Every ssh-askpass in the Gentoo tree pulls in X11 or a full KDE stack, so I wrote my own with Zig 0.16 and GTK4, with hand-written bindings that keep X out of the build.

A developer has created a lightweight SSH-askpass using Zig 0.16 and GTK4, avoiding the need for X11 or KDE dependencies. This solution could appeal to users looking for a minimalistic approach in Gentoo environments.

30. Demystifying DRAM Read Disturbance: RowHammer and RowPress Phenomena (arxiv.org)

DRAM read disturbance, like RowHammer and RowPress, is a critical robustness issue where accessing DRAM can cause unintended bitflips in other unaccessed DRAM locations. DRAM read disturbance bitflips significantly impact the safe, secure, and reliable operation of DRAM-based computing systems. Many prior works experimentally characterize these bitflips and propose mitigations based on empirical results. Other device-level works study their underlying physical mechanisms, but these mechanisms do not fully explain all major empirical observations.
Our goal is to bridge the gap between experimental characterization and device-level modeling and understanding of RowHammer and RowPress, providing a principled foundation for future work on understanding, characterizing, and mitigating DRAM read disturbance. We first identify and demonstrate gaps and inconsistencies between the physical mechanisms of RowHammer and RowPress described by existing device-level models and experimental characterization of their bitflips. We focus on three fundamental metrics that should map to first-order physical mechanisms: 1) bitflip directions, 2) bitflip counts, and 3) the minimum number of aggressor row activations that trigger the first bitflips (i.e., ACmin). Second, we present a comprehensive and rigorous set of TCAD simulations that match phenomena observed in experimental characterizations of RowHammer and RowPress bitflips.
From our results, we 1) summarize updated device-level error mechanisms for understanding RowHammer and RowPress bitflips, and 2) identify key modeling and simulation parameters that significantly affect whether simulation results match real-chip characterization. We discuss implications for 1) rigorous, comprehensive, and efficient experimental characterization methodologies of DRAM read disturbance bitflips, and 2) the design of DRAM read disturbance mitigation techniques.

Understanding DRAM read disturbance issues, such as RowHammer and RowPress, is essential for maintaining the reliability of computing systems. This piece discusses the implications of these phenomena and reviews existing research on their causes and potential solutions.

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