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The article discusses the development of a new artificial intelligence system that can generate highly realistic images from text descriptions. The system, called Stable Diffusion, has been released as an open-source model, allowing researchers and developers to experiment with and improve upon its capabilities.

The article explores the use of large language models (LLMs) in historical research, discussing their potential to enhance data analysis, contextual understanding, and knowledge synthesis in the field of history.

The article examines the intensifying competition between China and the West in the development of advanced AI chips, a crucial technology for various industries. It highlights the strategic importance of this domain and the ongoing efforts by both sides to gain a technological edge.

The article discusses the launch of Function Gemma, a new open-source framework by Google that aims to simplify the development of serverless functions, making it easier for developers to build and deploy cloud-native applications.

Google's researchers have developed a new natural language processing model called T5-GEMMA that outperforms previous models in understanding and generating text. The article highlights the model's improved performance on various language tasks and its potential applications in fields like question answering, text summarization, and code generation.

The article discusses the Central Pangean Mountains, a major mountain range that formed during the Pangaea supercontinent's existence. It provides information about the geography, climate, and tectonic history of this ancient mountain system.

Everyone's shipping AI tools right now, and here I am with a visual editor. Still, I think many teams are very familiar with the problem of "marketing wants to change the landing page again."

I've run into this for years. Campaign pages come in, engineers get pulled in, and tickets stack up. It's usually the same components, just rearranged.

A few years ago, at a startup I worked at, we built an internal tool to deal with this. You register your existing React components, they show up as drag-and-drop blocks, and the result is a JSX string. No schema to learn, no changes to your component code.

We used it in production, handling real traffic in a messy, legacy-heavy environment. It held up well. Over time, it powered roughly 60% of our traffic. Marketing shipped pages without filing tickets, and product teams ran layout-level A/B tests. That experience eventually led me to clean it up and open-source it.

Composify sits somewhere between a no-code page builder and a headless CMS. Page builders like Wix or Squarespace offer drag-and-drop, but lock you into their components. There are also solid tools like Builder.io, Puck, and Storyblok, but many require you to adapt your components to their model. Composify is intentionally minimal: it lets you use your actual production components as they are.

It's still early. The docs need work, and there are rough edges. But it's running in production and has solved a real problem for us. If you already have a component library and want non-devs to compose pages from it, it might be useful.

Homepage: https://composify.js.org

Happy to answer questions or hear feedback!

The article provides an overview of the top 52 banned books in the United States since 2021, highlighting the ongoing debates around censorship and the protection of free speech in literature.

The article explores the concept of interactive fluid typography, a technique that allows text to respond dynamically to user interactions, creating engaging and visually dynamic web experiences. It discusses the technical implementation and creative applications of this technology in web design.

https://archive.ph/0MFPK

We have been getting the best results with Claude Code when we iterate with it to build full context and then use and update that context as we work.

So, we built Nimbalyst to be the local WYSIWYG editor and session manager where you iterate with Claude Code on markdown docs, diagrams, mockups, data-models, sessions, and code. Nimbalyst lets you:

- Work in one integrated tool leveraging all your context.

- Use all the power of Claude Code in a UI

- Work with Claude Code to write and edit WYSIWYG markdown, see AI changes as red/green, approve them

- Iterate on html mockups with Claude Code, annotating the mockups, and then use them as context for people and Claude Code coding

- Build your data models based on your docs/code, iterate on them with Claude Code, export them in standard formats.

- Integrate mermaid diagrams, text, tables, mockups, data models, and images in standard markdown for human/AI context

- Tie sessions to documents to sessions, find and resume sessions, treat sessions as context, run parallel sessions

- Code with Claude Code with all of this context, use / commands, see git status.

Nimbalyst is in Beta, local, and free. We would love your feedback.

I needed to generate invoices in a Node.js app. jsPDF is 229KB. I only needed text, rectangles, lines, and JPEG images.

  So I wrote tinypdf: <400 lines of TypeScript, zero dependencies, 3.3KB minified+gzipped.

  What it does:
  - Text (Helvetica, colors, alignment)
  - Rectangles and lines
  - JPEG images
  - Multiple pages, custom sizes

  What it doesn't do:
  - Custom fonts, PNG/SVG, forms, encryption, HTML-to-PDF

  That's it. The 95% use case for invoices, receipts, reports, tickets, and labels.

  GitHub: https://github.com/Lulzx/tinypdf
  npm: npm install tinypdf

Hi HN, We are the OpenDCAI group from Peking University. We built Paper2Any, an open-source tool designed to automate the "Paper to Slides" workflow based on our DataFlow-Agent framework. The Problem: Writing papers is hard, but creating professional architecture diagrams and slides (PPTs) is often more tedious. Most AI tools just generate static images (PNGs) that are impossible to tweak for final publication. The Solution: Paper2Any takes a PDF, text, or sketch as input, understands the research logic, and generates fully editable PPTX (PowerPoint) files and SVGs. We prioritize flexibility and fidelity—allowing you to specify page ranges, switch visual styles, and preserve original assets. How it works: 1. Multimodal Reading: Extracts text and visual elements from the paper. You can now specify page ranges (e.g., Method section only) to focus the context and reduce token usage. 2. Content Understanding: Identifies core contributions and structural logic. 3. PPT Generation: Instead of generating one flat image, it generates independent elements (blocks, arrows, text) with selectable visual styles and organizes them into a slide layout. Links: - Demo: http://dcai-paper2any.cpolar.top/ - Code (DataFlow-Agent): https://github.com/OpenDCAI/DataFlow-Agent We'd love to hear your feedback on the generation quality and the agent workflow!

A North Korean infiltrator was caught working in Amazon's IT department due to a 110ms lag in their keystroke input, which raised red flags about their true location. This incident highlights the importance of robust cybersecurity measures in detecting and preventing foreign actors from infiltrating sensitive corporate environments.

An article reporting on a case of a seller on Amazon selling a sealed DDR5 RAM kit that was found to actually contain DDR2 modules and a fake weight plate instead of the advertised DDR5 memory, highlighting the importance of cautious purchasing and verifying product authenticity.

The article discusses the construction of the largest wildlife overpass in North America, located in Douglas County, Colorado. The overpass aims to provide a safe passage for animals to cross over a busy highway, helping to reduce vehicle-wildlife collisions and maintain wildlife connectivity in the area.

The article discusses the projected average compensation for tech roles in 2025, including salaries, bonuses, and equity compensation. It provides insights into the expected pay levels across different job titles and experience levels in the technology industry.

Example actions to Jules (an independent cloud coding agent from Google Labs) from GitHub actions.

The White House issued an executive action to increase research on medical marijuana and cannabidiol (CBD), with the goal of expanding scientific understanding and potentially expanding access to these substances for medical purposes.

The EIC ScaleUp Europe Fund aims to support scaling up deep tech startups and small and medium-sized enterprises in Europe by providing access to growth capital and business acceleration services.