S-expr: A Peculiar S-Expression Parser

2025-06-18
S-expr: A Peculiar S-Expression Parser

S-expr is an S-expression parsing library featuring unique extensions to S-expression syntax. It supports single-line and multi-line strings and comments, and introduces a novel concept called "transposed blocks." Transposed blocks allow code to be written with rows and columns swapped, enhancing readability for complex nested expressions. This design aims to balance the simplicity of S-expressions with improved code readability and expressiveness. While more complex than traditional Lisp, it prioritizes a balance between simplicity and usability.

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Building Enterprise AI Agents with Flink SQL: Connecting LLMs to Internal Data

2025-06-18

This article explores building enterprise AI agents using Flink SQL, connecting Large Language Models (LLMs) with internal data and resources. For structured data, Flink SQL's SQL join semantics easily integrate external database data with LLM input. For unstructured data, the article proposes Retrieval-Augmented Generation (RAG), encoding data into vectors stored in a vector database, then querying and integrating via Flink SQL's vector type support. Using the example of summarizing research papers and incorporating internal research, the article demonstrates building an AI agent system with two Flink SQL jobs: one updates the vector store, the other queries and invokes the LLM. Finally, it mentions using Process Table Functions (PTFs) to integrate Anthropic's MCP standard for more flexible AI agent construction.

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Development

Improving Knowledge Base Quality for RAG Systems: Best Practices for AI and Humans

2025-06-18
Improving Knowledge Base Quality for RAG Systems: Best Practices for AI and Humans

This guide outlines best practices for creating documentation that effectively serves both human readers and AI/LLMs in Retrieval-Augmented Generation (RAG) systems. High-quality documentation improves AI responses and user experience, creating a positive feedback loop. The article details how AI systems process documentation (retrieval, vector database, generation), highlighting the importance of clear, concise, and contextually complete content. Recommendations include using semantic HTML, avoiding PDFs, creating crawler-friendly content, ensuring semantic clarity, providing text equivalents for visuals, and maintaining simple layouts. The guide also addresses common content design challenges like contextual dependencies, semantic discoverability gaps, implicit knowledge assumptions, and visual information dependencies. It advocates for a hierarchical information architecture, self-contained sections, and providing error context with solutions. Ultimately, the goal is documentation that is both human-readable and AI-friendly.

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Development AI documentation

ChatGPT: My Static Site Generator

2025-06-18
ChatGPT: My Static Site Generator

Tired of traditional static site generators, the author explored various options before settling on an unexpected solution: ChatGPT! Simply copy-pasting new and old blog posts into ChatGPT generates the HTML pages effortlessly, requiring no setup. While there's a risk of ChatGPT subtly altering the original text, the method's simplicity and speed are compelling—even this article was created this way. The author speculates on AI replacing traditional tools in more areas, such as documentation generators and command-line tools.

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Development

Challenging AI with Number Theory: A Reality Check

2025-06-18
Challenging AI with Number Theory: A Reality Check

A mathematician challenges the true capabilities of current AI in mathematics, arguing that existing AI models are merely parroting, not truly understanding mathematics. To test this hypothesis, he's initiating an experiment: creating a database of advanced number theory problems and inviting AI companies to solve them using their models. Answers are restricted to non-negative integers, designed to assess whether AI possesses genuine mathematical reasoning or simply relies on pattern matching and internet data. This experiment aims to differentiate between AI 'understanding' and 'mimicry,' pushing for a deeper evaluation of AI's mathematical abilities.

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AI

Framework Laptop 12: Easy Repairs, But With Trade-offs

2025-06-18
Framework Laptop 12: Easy Repairs, But With Trade-offs

The Framework Laptop 12 shines with its modular design and easy repairability. Users can easily swap out components like RAM and SSDs with just a screwdriver. However, to achieve a smaller form factor, the Laptop 12 makes compromises, such as omitting a backlit keyboard and fingerprint sensor, and only supporting a single stick of DDR5 RAM, limiting memory capacity. While it uses smaller M.2 2230 SSDs, these are now more readily available. Overall, the Laptop 12 balances ease of use and upgradeability but requires users to weigh some functional limitations.

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DSC: A PyTorch-Compatible Tensor Library and Inference Framework

2025-06-18
DSC: A PyTorch-Compatible Tensor Library and Inference Framework

DSC is a PyTorch-compatible tensor library and inference framework for machine learning models. It boasts a C-compatible low-level API wrapped in a modern Python API similar to NumPy/PyTorch, with usability enhancements. Key features include an intuitive API, built-in neural network support, multiple backends (CPU and CUDA), minimal external dependencies, and no runtime allocations. Installation is straightforward, requiring only a C++20 compiler and GNU Make. CUDA acceleration is supported; simply set environment variables to enable it. Unit tests are run via pytest, ensuring correctness.

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Development tensor library

Netflix to Stream French TV Channels in Landmark Deal with TF1

2025-06-18
Netflix to Stream French TV Channels in Landmark Deal with TF1

Starting summer 2026, Netflix subscribers in France will gain access to TF1's free-to-air live channels and on-demand content, all within the Netflix app. This groundbreaking partnership with France's leading broadcaster marks a significant move for Netflix, offering French users a broader entertainment experience and potentially fulfilling regulatory requirements for French-language content investment. The deal, mirroring similar output deals for CBS in the US or ITV in the UK, signals a potential new strategy for traditional networks facing audience erosion in the streaming era, leveraging the reach of established platforms to reach wider audiences.

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Unleash Your Inner Color Wizard: The Poline Playground

2025-06-18
Unleash Your Inner Color Wizard: The Poline Playground

Embark on a color creation adventure in the Poline Playground! This interactive tool lets you explore the uncharted territories of color. Add and remove anchor points with the P and Delete keys, respectively, and use your browser's color picker to fine-tune your creations. Adjust hue, lightness, and saturation to craft unique color palettes. Experience the magic of Poline and unleash your imagination!

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arXivLabs: Experimenting with Community Collaboration

2025-06-18
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework for collaborators to develop and share new arXiv features directly on the arXiv website. Individuals and organizations involved embrace arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only partners with those who share them. Got an idea for a project that will benefit the arXiv community? Learn more about arXivLabs.

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Development

Grokking NAT: Linux's Clever Workaround for IPv4 Exhaustion

2025-06-18

Imagine your home Wi-Fi network: all devices share the same public IP address. This is thanks to Network Address Translation (NAT). With limited IPv4 addresses, NAT cleverly maps private IPs to a single public IP on your router, letting multiple devices share a single public IP. This article dives into NAT's workings, exploring different types (Full Cone, Restricted Cone, Symmetric NAT) and its Linux implementation (using nftables), illustrated with a Docker example. While NAT temporarily solves IPv4 exhaustion, it introduces limitations like breaking end-to-end connectivity and complicating encryption. Ultimately, widespread IPv6 adoption is the true solution.

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Development

Munich vs. Hamburg: A Tale of Two German Cities

2025-06-18
Munich vs. Hamburg: A Tale of Two German Cities

A long weekend trip to Munich provided a fascinating comparison to the author's home in Hamburg. The article explores the historical impact of the Wittelsbach dynasty on Munich's development, contrasting it with Hamburg's independent growth as a free imperial city. Munich's strong religious presence is highlighted against Hamburg's more secular atmosphere. While Munich boasts more museums and nearby natural beauty, Hamburg offers superior green spaces and a less frenetic pace of life. The author concludes that Munich offers stronger tech job opportunities, but Hamburg better suits his personal preferences.

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James Gunn: The Man Behind DC's Reboot

2025-06-18
James Gunn: The Man Behind DC's Reboot

James Gunn, the director behind the Guardians of the Galaxy franchise, is now co-CEO of DC Studios, tasked with building a new DC Universe. From B-movie beginnings to directing Marvel films, and now spearheading DC's reboot, Gunn's career is a compelling narrative. He reveals his past work stemmed from a need for validation, but now he focuses on pure creativity and emphasizes the importance of high-quality scripts. The upcoming 'Superman' film represents his fresh take on the iconic character, blending sci-fi elements with emotional depth, presenting a more grounded and relatable Superman.

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Open Source: The Unsung Hero of the Digital Economy

2025-06-18
Open Source: The Unsung Hero of the Digital Economy

The digital economy thrives on a foundation of open-source software, freely available to all. Apache and Nginx, two open-source programs, power the majority of the world's websites. Linux, another open-source powerhouse, fuels most computer servers and underpins Google's Android. Even Kubernetes, a crucial tool for managing cloud workloads, is open-source. A global community of developers tirelessly maintains and improves this essential software.

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Tech

Workout.cool: The Open-Source Fitness Platform Reborn

2025-06-18
Workout.cool: The Open-Source Fitness Platform Reborn

Workout.cool is a modern, open-source fitness coaching platform resurrected from the ashes of its predecessor, workout.lol. After the original project was abandoned due to video licensing issues, developer Snouzy took over and rebuilt it from the ground up, offering a comprehensive exercise database, progress tracking, and personalized workout plans. Built with Next.js App Router and Feature-Sliced Design, the project welcomes community contributions. It's a by-the-community, for-the-community project aiming to provide a reliable and maintainable platform for the open-source fitness community.

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Development

A Programmer's Rejection of AI Coding Tools: Efficiency, Ethics, and Environment

2025-06-18

A seasoned programmer explains their refusal to use AI coding tools, not out of technological resistance, but from deep concerns about efficiency, ethics, and the environment. The author argues that the productivity gains of current AI tools are questionable and that they risk introducing more errors. Additionally, AI model training puts immense pressure on the environment, and its data sources raise ethical concerns, including intellectual property infringement. The author emphasizes the joy of "struggle and learning" in programming and the advantages of manually written code in terms of quality and maintainability. Ultimately, they choose to stick with traditional programming methods and call for stronger regulation of AI technology.

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Development

AI Capabilities Double Every 7 Months: A Stunning Advancement

2025-06-18
AI Capabilities Double Every 7 Months: A Stunning Advancement

A groundbreaking study reveals the astonishing pace of improvement in large language models (LLMs). By measuring model success rates on tasks of varying lengths, researchers found that the task length at which models achieve a 50% success rate doubles every 7 months. This exponential growth in AI's ability to handle complex tasks suggests a future where AI tackles previously unimaginable challenges. While the study has limitations, such as the representativeness of the task suite, it offers a novel perspective on understanding AI progress and predicting future trends.

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Homomorphic Encryption and Local-First Software: A Trade-off?

2025-06-18
Homomorphic Encryption and Local-First Software: A Trade-off?

This article explores the challenges of using homomorphic encryption to protect private data in local-first software. While homomorphic encryption allows computation without decryption, it introduces significant performance and storage overheads. The author demonstrates the practical limitations of homomorphic encryption on CRDTs by building a homomorphically encrypted 'last-write-wins' register CRDT. The article highlights how homomorphic encryption requires operations under worst-case input assumptions, drastically increasing space and time complexity. Ultimately, the author concludes that securing local-first apps without severely degrading usability remains an open problem.

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Development local-first software

A* Pathfinding Explained: From Breadth-First Search to Greedy Best-First Search

2025-06-18
A* Pathfinding Explained: From Breadth-First Search to Greedy Best-First Search

This article provides a clear explanation of the A* pathfinding algorithm. Starting with the simple Breadth-First Search (BFS), it progressively introduces Dijkstra's algorithm (handling varying movement costs), Greedy Best-First Search, and finally, the A* algorithm. Through diagrams and code examples, the article clearly shows the operation and advantages and disadvantages of different algorithms, discussing their applicability in different scenarios such as map pathfinding and game AI. A*, by incorporating a heuristic function, finds the shortest path while improving search efficiency, making it a popular pathfinding algorithm in many games.

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High-Energy Nitrogen: Breakthroughs and Challenges

2025-06-18
High-Energy Nitrogen: Breakthroughs and Challenges

Recent years have witnessed significant progress in the research of polynitrogen compounds as high-energy-density materials. Scientists have successfully synthesized compounds containing hexazine rings and conducted in-depth studies on their structure and stability. However, the synthesis and stability of polynitrogen compounds remain a significant challenge, with factors such as quantum tunneling effects playing a crucial role. Future research will focus on overcoming the challenges in synthesis and stability to develop safer and more efficient polynitrogen high-energy materials.

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Don't Mock What You Don't Own: A Better Way to Test Third-Party Dependencies

2025-06-18
Don't Mock What You Don't Own: A Better Way to Test Third-Party Dependencies

This article tackles a common problem in unit testing: handling third-party dependencies. Using a Docker repository client as an example, the author demonstrates the drawbacks of directly mocking third-party dependencies (like HTTP clients): tests become complex, brittle, and hard to understand. The proposed solution involves introducing a thin abstraction layer to decouple business logic from external dependencies, simplifying testing and improving code readability and maintainability. This approach not only leads to cleaner and more concise tests but also enhances the readability and maintainability of the business logic itself. While acknowledging exceptions, the author concludes that this principle helps write more elegant and maintainable tests in most cases.

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Counting Yurts in Mongolia: A Machine Learning Adventure

2025-06-18

This article details the author's journey in counting the number of yurts (gers) in Mongolia using machine learning. The author meticulously documents the process, from data acquisition using Google Maps satellite imagery and model training with YOLO, to deployment on a Docker Swarm cluster leveraging multiple GPUs. The project highlights the challenges of processing vast geographical datasets and the innovative solutions employed. The final count reveals a surprising number of yurts, offering insights into Mongolia's unique blend of traditional nomadic culture and modern urbanization.

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Tech Mongolia

Microsoft's Copilot Branding Under Fire: Advertising Watchdog Steps In

2025-06-18
Microsoft's Copilot Branding Under Fire: Advertising Watchdog Steps In

Microsoft is facing criticism for its overuse of the "Copilot" branding across its AI product line. The Better Business Bureau's National Advertising Division (NAD) flagged Microsoft's advertising for its ambiguous use of 'Copilot', arguing consumers struggle to differentiate functionality between applications. NAD also questioned Microsoft's claims about Copilot's productivity gains, citing a lack of robust measurement of actual productivity improvements. Microsoft responded that it would revise its advertising to comply with NAD's recommendations, highlighting Copilot's market value.

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Tech

Dissecting Conant and Ashby's Good Regulator Theorem

2025-06-18
Dissecting Conant and Ashby's Good Regulator Theorem

This post provides a clear and accessible explanation of Conant and Ashby's 1970 Good Regulator Theorem, which states that every good regulator of a system must be a model of that system. The author addresses the theorem's background and controversies, then uses Bayesian networks and intuitive language to explain the mathematical proof. Real-world examples illustrate the concepts, clarifying misconceptions around the term 'model'.

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List of Windows NT Native API Functions

2025-06-18

This list comprises numerous Windows NT native API functions, covering various aspects such as file systems, process management, thread management, security, and registry. These functions are core to low-level Windows operations, forming the foundation for higher-level application interfaces. Understanding them is crucial for system programmers and security researchers.

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Development

The Cognitive Cost of LLMs: A Study on Essay Writing

2025-06-18

A study investigating the cognitive cost of using Large Language Models (LLMs) in essay writing reveals potential negative impacts on learning. Participants were divided into three groups: LLM, search engine, and brain-only. EEG data showed that the LLM group exhibited weaker neural connectivity, lower engagement, and poorer performance in terms of essay ownership and recall, ultimately scoring lower than the brain-only group. The findings highlight potential downsides of LLM use in education and call for further research to understand the broader implications of AI on learning environments.

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AI

MiniMax-M1: A 456B Parameter Hybrid-Attention Reasoning Model

2025-06-18
MiniMax-M1: A 456B Parameter Hybrid-Attention Reasoning Model

MiniMax-M1, a groundbreaking open-weight, large-scale hybrid-attention reasoning model, boasts 456 billion parameters. Powered by a hybrid Mixture-of-Experts (MoE) architecture and a lightning attention mechanism, it natively supports a context length of 1 million tokens. Trained using large-scale reinforcement learning, MiniMax-M1 outperforms other leading models like DeepSeek R1 and Qwen3-235B on complex tasks, particularly in software engineering and long-context understanding. Its efficient test-time compute makes it a strong foundation for next-generation language model agents.

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ChatGPT in Education: A Double-Edged Sword

2025-06-18
ChatGPT in Education: A Double-Edged Sword

Recent studies explore the use of ChatGPT and other large language models in education. While some research suggests ChatGPT can effectively assist students in learning programming and other skills, boosting learning efficiency, other studies highlight the risk of over-reliance, leading to dependency, reduced independent learning, and even impaired critical thinking. Ethical concerns, such as potential cheating and intellectual property infringement, are also prominent. Balancing ChatGPT's benefits and risks is a crucial challenge for educators.

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AI

5,000-Year-Old Bread Unearthed in Turkey: A Culinary Time Capsule

2025-06-18
5,000-Year-Old Bread Unearthed in Turkey: A Culinary Time Capsule

Archaeologists in Turkey have unearthed a remarkably preserved 5,000-year-old loaf of bread, a rare find in the field. Discovered at the Kulluoba site in Eskisehir province, the Bronze Age bread was burnt and buried under a dwelling entrance, protecting it from decay. The discovery offers unique insights into ancient diets and agricultural practices. Local bakers have successfully recreated the bread using ancient wheat, lentils, and bulgur, resulting in a popular local treat.

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Scrappy: Building Home-Grown Apps for Friends and Family

2025-06-18
Scrappy: Building Home-Grown Apps for Friends and Family

John and Pontus created Scrappy, a research prototype for making simple, personalized apps for yourself and your friends. It's a visual tool similar to Figma or Google Slides, but allows attaching behaviors to interactive objects. You drag and drop objects like buttons and text fields, and add JavaScript code to define their actions, like recording text input on a button click. Scrappy apps are multiplayer, with persistent and synced state, making collaboration with friends and family seamless. The goal is to democratize software creation, enabling more people to build apps tailored to their unique needs.

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