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The USRP X420 is a high-performance software-defined radio platform from Ettus Research, a National Instruments company. It offers flexible, reconfigurable hardware and a powerful FPGA for a wide range of wireless applications, including research, development, and prototyping.

The article discusses the potential impact of AI on democracy, exploring both the opportunities and risks it presents, such as increased efficiency in government services but also the possibility of AI-powered surveillance and manipulation of the public.

Hey HN, I fine-tuned a small open-source model on golf forecasting and it beats GPT-5 at predicting golf outcomes. The same approach can be used to build a specialized model in any domain, you just need to update a few search queries.

We fine-tuned gpt-oss-120b with LoRA on 3,178 golf forecasting questions, using GRPO with Brier score as the reward.

Our model outperformed GPT-5 on Brier Skill (17% vs 12.8%) and ECE (6% vs 10.6%) on 855 held-out questions.

How to try it: the model and dataset are open-source, with code, on Hugging Face.

How to build your own specialized model: Update the search queries and instructions in the Lightning Rod SDK to generate a new forecasting dataset, then run the same GRPO + LoRA recipe.

SDK link: https://github.com/lightning-rod-labs/lightningrod-python-sd... Dataset: https://huggingface.co/datasets/LightningRodLabs/GolfForecas... Model: https://huggingface.co/LightningRodLabs/Golf-Forecaster

Questions, feedback on the SDK, suggestions for new domains to try this on - all are welcome.

The article discusses concerns about the liquidity of Blue Owl, a large alternative asset manager, amid broader worries about the stability of the financial system. It examines the potential risks and implications of Blue Owl's business model and position in the market.

The article discusses the creation of a website that allows users to explore the history of GitHub, including its founding, growth, and key milestones. The website provides a comprehensive timeline and interactive features to help users understand the evolution of this influential software development platform.

Elektrobit and Mobileye have announced a collaboration to develop a safety-certified Linux platform for Level 4 autonomous driving. The partnership aims to create a comprehensive solution that combines Elektrobit's expertise in embedded software and Mobileye's advanced driver assistance systems and autonomous driving technologies.

Tested it out this [weekend](https://ctftime.org/team/425785), spent $100 across xai ($35), google($35), anthropic($25).

- xai:grok-4-1-fast-reasoning solved 8

- google:gemini-3-flash-preview solved 5 (building on xai)

- anthropic:opus-4-5 couldn't solve any additional ones - also was a bit annoyed by the constant 429 ratelimiting, wished I had instead switched to openai, but I didn't want to keep spending money.

Did pretty good for web and cryto, less so for pwn

Built based on devcontainers.

It was in watching a recent video by Nate B Jones[1], in which he claims that Intent Engineering is the next phase of adoption of AI, that I was given some hope for the future.

To me, it seems that we're about to have the bigger problem of AI alignment solved in the service of corporate profits. What do you all think?

[1] https://www.youtube.com/watch?v=QWzLPn164w0

Hi HN, I built PriceTagGenerator, a tool for e-commerce sellers to add clean price tags / sale badges to product photos fast (Shopify/Amazon/Etsy).

The goal is to skip Photoshop/Canva and do bulk edits in minutes.

Looking for feedback on: which badge/tag styles you actually use, and what would make this fit into your workflow.

VirusTotal, a leading cybersecurity platform, has partnered with OpenClaw AI to enhance its threat detection capabilities. The collaboration aims to provide users with more comprehensive and accurate malware analysis through the integration of OpenClaw's advanced AI-driven technologies.

This article discusses the development of a new artificial intelligence (AI) system that can generate high-quality anime-style artwork from text descriptions. The system, called Anime-VQGAN, is capable of producing detailed and visually appealing anime-inspired images based on user-provided prompts.

The article explores how Ukraine has become a hub for drone development and production, with its innovative drone technology and techniques playing a significant role in the ongoing conflict. It examines how Ukraine's military and civilian drone industries have evolved, and the impact this is having on the future of warfare.

After nearly two decades around DC networking (design, maintenance, migrations), the consistent problem I see isn’t “how to get configs” it’s drift and it feels like it’s getting worse as architectures become more distributed. Whatever you call the “source of truth” (DCIM/IPAM/CMDB, docs/spreadsheets, quick sketches in gimp/mspaint, diagrams, GIS/KMZ, vendor dashboards) almost always diverges from the running state. The first thing to decay is usually the relationships: connects-to / depends-on / contained-in / ownership. In the worst cases changes become: “We’re not sure let's disconnect/migrate and wait for someone to open a ticket.”

Eventually the real topology lives in people’s heads and you get the classic: “Don’t touch that! Karl built it, left months ago and the diagram like the documentation is probably a lie... but it still runs.”

I’m curious why this stays unsolved in practice, even with modern automation and vendor APIs. Most teams still end up maintaining heavy documents, or growing forest of scripts to parse all sorts of information, just to answer a seemingly simple question: what’s connected to what, right now? (Ideally with an up-to-date, human-readable detailed report.)

I’d love to listen your “this never works” stories:

- What’s your actual source of truth today: a database, a forest of CSVs, IaC state, discovery tooling, or simply “the as-is running system”? - What breaks first for you: identity (naming/IDs), relationship mapping, change process, or tooling limitations? - What’s your worst “Karl system” (critical infra with missing/poor documentation) you have been facing? - How do you keep architecture information consistent across IT and OT, especially with unavoidable legacy systems?

If a CLI that pulls from hosts and generates reports (Markdown/Mermaid, maybe draw.io) with a convenient diff view existed, what would be the killer feature(s) that keep it from becoming shelfware?

I’m especially interested in failure cases and edge conditions that make this problem so persistent.

This article provides a free online tool that allows users to add text behind an object in an image, enabling creative visual effects and overlays.

WhatsApp is introducing a new feature that allows users to update their traditional account passwords without having to delete and recreate their entire account. This update aims to provide a more seamless and secure password management experience for WhatsApp users.

IBM stock price rebounded after Anthropics' claim that its AI could replace COBOL on mainframes, which had initially rattled mainframe enthusiasts. The article discusses the impact of Anthropics' announcement on IBM's stock price and the mainframe industry.

The article discusses a study that examines the effect of a new inference counter on the performance of a machine learning model. The researchers found that the inference counter improved the model's accuracy and efficiency, potentially making it a useful tool for optimizing machine learning systems.

The article discusses the implementation of private information retrieval (PIR) in the backend of a decentralized end-to-end encrypted (E2EE) application. It explores techniques for allowing clients to retrieve data from the server without revealing what data they are requesting.

The article discusses the potential impact of AI-generated fake news on Japan's elections, highlighting concerns about the technology's ability to manipulate public opinion and undermine the democratic process. It explores the efforts by the Japanese government and technology companies to address these challenges and develop strategies to safeguard the integrity of future elections.

The article discusses the development of neoring, a new type of computer hardware that uses a ring-shaped design to improve energy efficiency and processing power. It highlights the potential benefits of neoring for various applications, including data centers, IoT devices, and mobile computing.

The article explores the concept of 'optimal rate of failure,' arguing that some degree of failure is necessary for innovation and learning. It suggests that organizations should embrace a measured amount of failure as a means to encourage experimentation and drive progress.

The article discusses the use of intelligent agents, also known as software agents, in search engine technology. It explores the potential benefits and challenges of incorporating agent-based systems into search engines to improve the user experience and the quality of search results.

The article discusses Japan's plans to promote the use of electric vehicles (EVs) and hydrogen-powered vehicles as part of its efforts to achieve carbon neutrality by 2050. The government aims to increase the number of EVs and fuel cell vehicles on the road and provide more charging and hydrogen fueling infrastructure to support this transition.