Pao Ramen
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Textual - Home
The Textual framework is a Python-based Rapid Application Development tool for building sophisticated user interfaces in terminals or web browsers. It emphasizes ease of use, cross-platform compatibility, and integration with the command line. The documentation provides resources for getting started, tutorials, guides on various features like CSS and widgets, API references, and examples of applications built with Textual.
Jul 26 ⎯ textual.textualize.io
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The Right Thing and the Right Reason:
The article explores the concept of "doing the right thing for the right reason," differentiating between mechanical compliance and ethical responsibility. It argues that "the right thing" is often an "undecidable" – a situation that cannot be fully resolved by logic or rules, requiring personal judgment and ownership of reasoning rather than blind adherence to instructions. The text emphasizes that responsibility cannot be outsourced to systems or phrases, and true ethical action involves accepting the inherent uncertainty and complexity of life, much like using a ladder that must be discarded after serving its purpose.
Jul 26 ⎯ harishsnotebook.wordpress.com
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Becoming a High Taste Tester
The article discusses the concept of a "high taste tester" (HTT) in the context of frontier models, defining them as influencers who creatively test models in unique ways. It provides a curated list of examples and resources, including links to various blog posts, tests, and discussions that illustrate different approaches to evaluating AI capabilities, from image generation to legislative document analysis and code generation.
Jul 26 ⎯ www.swyx.io
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Copyright your faults
The article explores the concept of "copyrighting your faults," advocating for embracing personal quirks and constraints as unique strengths. It uses examples like Dan Carlin's loud voice and the "Disco" DVD burning app's smoke simulation to illustrate how limitations can be turned into distinctive features. The author connects this to the Japanese concept of ikigai, suggesting that identifying and leveraging what one "can't not do" is crucial for personal and professional development.
Jul 26 ⎯ interconnected.org
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Tattoy
Tattoy is a text-based compositor for modern terminals that enhances the user experience with visual effects rendered using UTF8 half-blocks and GPU shaders. It supports Shader Toy and Ghostty shaders, animated cursors, a second terminal in the background for visualizations or monitors, a live-updating scrollback minimap, and an intelligent auto text contrast feature that adjusts foreground colors for readability. Tattoy also allows for plugins written in any language to interact with terminal content.
Jul 26 ⎯ tattoy.sh
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Never write your own Date Parsing Library—zachleat.com
The article strongly advises against creating custom date parsing libraries, a mistake the author made with Eleventy by adopting Luxon. Luxon's large size and lack of tree-shaking prompted a search for alternatives, leading to the development of `@11ty/parse-date-strings`, a new RFC 9557 compatible library. This change reduces Eleventy's bundle size and prepares it for native Temporal API support.
Jul 26 ⎯ www.zachleat.com
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An Holistic Framework for Shared Design Leadership
This article proposes a holistic framework for shared design leadership, likening a design team to a living organism. It divides leadership responsibilities between a Design Manager (tending to the 'mind' or psychological safety and growth) and a Lead Designer (tending to the 'body' or craft and execution). Both roles collaborate on the 'circulatory system' of strategy and flow, emphasizing communication, clear feedback loops, and mutual respect to ensure overall team health and effective output.
Jul 25 ⎯ alistapart.com
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To See the World like Humans
This paper introduces the Turing Eye Test (TET), a challenging perception-oriented benchmark with four diagnostic tasks designed to evaluate how well Multimodal Large Language Models (MLLMs) perceive the world compared to humans. State-of-the-art MLLMs exhibit significant failures on these tasks, indicating fundamental limitations in their visual attention mechanisms and generalization capabilities, which cannot be resolved by language-focused training alone.
Jul 25 ⎯ turingeyetest.github.io
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Generating Image Placeholders on Cloudflare Workers | Jeremy Morrell
This article explores generating low-quality image placeholders (LQIP) using Cloudflare Workers. It details methods like dominant color extraction, palette-based dominant color, Blurhash, and CSS Blobhash, leveraging Cloudflare's Image bindings. The author found dominan_color_from_palette to offer the best balance for social media feeds.
Jul 24 ⎯ jeremymorrell.dev
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How to Build an Agent
This article explains how to build a functional code-editing agent using a large language model (LLM), an API key, and a simple loop. It details the process of setting up a Go project, integrating with the Anthropic API, and implementing tools like `read_file`, `list_files`, and `edit_file`. The guide emphasizes that creating such an agent is straightforward, requiring minimal code and practical engineering rather than moments of genius, and highlights the power of LLMs in interacting with external systems through tools.
Jul 24 ⎯ ampcode.com
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Crawling a billion web pages in just over 24 hours
This article details the process and challenges of crawling one billion web pages within a 24-hour period and a budget of a few hundred dollars in 2025. It explores architectural designs, hardware choices (emphasizing optimized nodes with Redis, fetchers, and parsers), and identifies parsing as a significant bottleneck, partly due to increased page sizes and SSL handshake computations impacting fetching. The author discusses practical learnings, including the effectiveness of the `selectolax` library for parsing and the need for managing memory for large domain frontiers, while also considering future directions like dynamic page rendering for crawls.
Jul 24 ⎯ andrewkchan.dev
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Hacking the JavaScript Lottery - Independent Security Evaluators
This article explains how to exploit the XorShift128+ pseudo-random number generator used in JavaScript by browsers like Chrome and Firefox. By using symbolic execution with Z3, the author demonstrates how to recover the generator's state from a few of its outputs, enabling prediction of future numbers. This technique was applied to the Los Angeles Times' Powerball simulator, allowing the author to predict the winning lottery numbers.
Jul 24 ⎯ blog.securityevaluators.com
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Tavily - The Web Access Layer for AI Agents
Tavily provides a web access layer for AI agents, offering an API for real-time, accurate search results tailored for LLMs and RAG workflows. It aims to reduce hallucinations and enhance decision-making by providing concise, relevant data from multiple sources with citations. Tavily is trusted by over 600k developers and integrates with tools like LangChain and LlamaIndex.
Jul 24 ⎯ www.tavily.com
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Context7 - Up-to-date documentation for LLMs and AI code editors
Generate context with up-to-date documentation for LLMs and AI code editors
Jul 24 ⎯ context7.com
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GitHub - janwilmake/flaredream: Wrangler Compatible Cloudflare Deployment API
This repository introduces Flaredream Deploy, a free API version of `wrangler deploy` that runs directly on a worker. It allows for deployment of Cloudflare Workers with key features like support for Service Workers, ES Modules, Durable Objects, and parsing of `wrangler.toml`. However, it currently has limitations regarding building/bundling, environments, environment variables, and route patterns.
Jul 24 ⎯ github.com
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Improving Retrieval with ELO Scores - ZeroEntropy
The article explains how ZeroEntropy uses a novel training pipeline, inspired by chess Elo scores, to develop advanced reranker models. This approach focuses on pairwise comparisons and Elo rating calculations to overcome the limitations of traditional binary relevance labels and noisy absolute scoring. The process involves training a pairwise reranker, computing Elo ratings, and then training a pointwise reranker, ultimately leading to improved search accuracy.
Jul 23 ⎯ www.zeroentropy.dev
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Atkinson Hyperlegible Mono — anthesis
- The article reviews the Atkinson Hyperlegible Mono font, focusing on its design principles for enhanced character distinction and readability, particularly for programming environments. - It compares Atkinson Hyperlegible Mono to popular programming fonts like JetBrains Mono and Fira Code, highlighting its strengths in differentiating similar characters and mirroring glyphs through unique design features such as asymmetrical spurs and exaggerated descenders. - The review also covers its origins from the Braille Institute, installation steps on Unix-like systems, and potential caveats.
- fonts
Jul 23 ⎯ www.anthes.is
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@mlc-ai/web-llm
- WebLLM is a high-performance, in-browser LLM inference engine that leverages WebGPU for hardware acceleration, enabling LLM operations directly within web browsers without server-side processing. - It is fully compatible with the OpenAI API, supporting features like streaming and JSON-mode. It also supports a variety of popular models including Llama, Phi, Gemma, Mistral, and Qwen. - The package can be integrated into projects via NPM or CDN and offers advanced usage patterns like using Web Workers, Service Workers, and Chrome Extensions for enhanced performance and functionality. Custom models can also be integrated by providing model weights URL and WebAssembly library URL.
- machine-learning
- webgpu
Jul 23 ⎯ www.npmjs.com
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Hierarchical Reasoning Model
- The article introduces the Hierarchical Reasoning Model (HRM), a novel recurrent neural network architecture designed to overcome limitations of current LLMs in complex reasoning tasks. - HRM uses two interdependent recurrent modules (high-level for planning, low-level for detailed computation) to achieve computational depth and efficiency in a single forward pass, without explicit supervision or pre-training. It demonstrates strong performance on tasks like Sudoku and maze navigation, and surpasses larger models on the Abstraction and Reasoning Corpus (ARC), suggesting potential for universal computation.
- artificial-intelligence
- hrm
Jul 22 ⎯ arxiv.org
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Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data
* The article introduces "subliminal learning," a phenomenon where language models can transmit behavioral traits through generated data that is semantically unrelated to those traits. * This means a "student" model can learn preferences or even misalignment from a "teacher" model's output (like number sequences or code) even if the specific traits are filtered out, provided they share the same base model. * The research indicates that traditional data filtering might be insufficient to prevent the transfer of undesirable behaviors, necessitating deeper safety evaluations.
- language-models
- ai-safety
Jul 22 ⎯ alignment.anthropic.com