The Problem with Most Online Formatters You know the drill. You paste some JSON into a random online formatter, or convert a CSV to Markdown, or format a WeChat article. The tool works fine, but have you ever stopped to think about what happens to your data? Most "free" online tools send your content to their servers. Some store it. Some log it. Some sell aggregated data. You have no idea where your sensitive JSON payload, proprietary CSV data, or internal documentation ends up. The Client-Side Alternative I built tools.pixiaoli.cn — a collection of 33+ developer utilities that run entirely in your browser . No server uploads. No data collection. Your content never leaves your machine. What's Inside Here's a taste of what's available: JSON Formatter & Validator — Format, minify, validate, and tree-view JSON instantly CSV Converter — Convert between CSV, JSON, and Markdown tables WeChat Markdown Editor — Write Markdown and preview it exactly as it appears in WeChat articles Base64 Encoder/Decoder — With file upload support URL Encoder/Decoder — For query parameters and path segments Hash Generator — MD5, SHA-1, SHA-256, SHA-512 Color Converter — Between HEX, RGB, HSL, and named colors Regex Tester — Live pattern matching with highlighted results Diff Viewer — Side-by-side text comparison Code Formatter — JavaScript, CSS, HTML, SQL, and more UUID Generator — v4 UUIDs for APIs and databases QR Code Generator — Customizable with logo support Markdown Preview — Live split-pane editor Image Format Converter — PNG, WebP, JPEG, GIF, BMP, AVIF Text Case Converter — camelCase, snake_case, kebab-case, and more Lorem Ipsum Generator — Customizable paragraph count and word limits HTML Minifier — Remove whitespace and comments CSS Minifier — Compress stylesheets JavaScript Minifier — Obfuscate and compress JS XML Formatter — Pretty-print XML documents YAML Formatter — Validate and format YAML HTML to Markdown — Convert rich HTML to clean Markdown Markdown to HTML — Render Markdow

link - https://arxiv.org/abs/2606.06158 Abstract : Adaptive video tokenisation seeks to dynamically allocate token budgets based on the underlying visual complexity of a sequence. Current continuous-regime approaches achieve this via iterative binarised searches or trained neural regressors, while discrete methods often require a full-rate decoder pass to estimate information content. We demonstrate that such computational overheads are not strictly necessary. We show that the latent space of a frozen continuous video tokeniser inherently encodes temporal redundancy that can be exploited directly: spatial positions whose latent representations change minimally between consecutive frames carry near-zero additional information. We introduce a parameter-free adaptive token allocation mechanism that applies a fixed threshold to per-position temporal-L1 differences, identifying and dropping redundant latent positions. Consequently, the compression rate emerges naturally from the input content rather than being enforced top-down: static scenes get compressed aggressively, while highly dynamic sequences retain more tokens. To reconstruct the dropped positions, we propose the Latent Inpainting Transformer (LIT), a lightweight factorised spatial-temporal attention architecture. The resulting inference pipeline is highly efficient, requiring only a single encoder pass and one LIT forward pass, eliminating the need for auxiliary routing networks. Evaluations across TokenBench and DAVIS, which are the standard benchmarks used by recent tokenisers, indicate that our framework yields meaningful, content-driven token allocation while maintaining competitive reconstruction fidelity, and delivers a 31x inference-time speedup over the continuous adaptive baseline (ElasticTok-CV) and an 2x speedup over the discrete information-theoretic baseline (InfoTok) submitted by /u/chhaya_35 [link] [留言]

Elon Musk is set to make hundreds of billions even as communities in Mississippi and Tennessee are fighting to stop the gas turbines powering xAI's supercomputers.

OpenAI's GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock, one month after OpenAI revised its exclusive Azure arrangement. Pricing matches OpenAI's direct rates with usage counting toward AWS commitments. Codex shifts to pay-per-token billing with no seat fees. GPT-5.4 is the first OpenAI model available in AWS GovCloud. By Steef-Jan Wiggers

Let’s all assume we’re able to do whatever is possible with CSS/HTML/JS. (No typescript or node.js due to hosting restrictions) How can one use it for their animation/storyboard portfolio, unlike making something like a wall of displayed art, how can it be made interactive in a professional way? I’m more interested in ideas that use the strength of web itself, not just decorative effects submitted by /u/Enc7 [link] [留言]

Cindy Zhang discusses the evolution of XDS, a unified UI system powering 10,000+ internal tools. She shares actionable insights for architects and engineering leaders on managing large-scale community contributions, executing safe monorepo refactors using JS AST and AI codemods, mitigating breaking changes via feature flags, and expanding UI libraries into full-stack platform systems. By Cindy Zhang

submitted by /u/Impressive_Layer_867 [link] [留言]

USD account & credit cards for freelancers & creators Discussion | Link

Anthropic is walking back a hidden policy that researchers say sabotaged their work.

Customers have complained that a telehealth network selling compounded GLP-1s has been ripping them off—even after it had to pay $5 million to clients as part of a settlement with the US government.

European economy airline Ryanair is under investigation in the UK for charging parents mandatory fees to sit with their children. The Competition and Markets Authority (CMA) said it was looking into whether the seating fees, which may be charging parents for the airline to meet its child safety and disability‑related obligations, are "unfair" under consumer […]

From Wired: “We’re changing Fable 5’s safeguards for frontier LLM development to make them visible.” Anthropic said in a statement to WIRED. “We made the wrong tradeoff and we apologize for not getting the balance right.” Anthropic now says it’s changing course, and that Claude Fable 5’s safeguards for AI development will be visible to users. If the company suspects a user is trying to use Claude to build a highly capable AI it will alert them that it’s either refusing the request, or rerouting the user to a less capable model. Full article: https://www.wired.com/story/anthropic-responds-to-backlash-on-claudes-secret-sabotage-on-ai-research/ submitted by /u/goldcakes [link] [留言]

submitted by /u/germandiago [link] [留言]

YouTube is testing DMs in its mobile app, and US is now part of the experiment.

submitted by /u/techie_e [link] [留言]

I'm working on a free SVG icon project called IconShelf and recently noticed something confusing. Analytics show decent traffic, but signups and conversions are much lower than expected. To investigate, I started reviewing sessions in Microsoft Clarity and found behaviour that makes me suspect that a significant portion of visits may be from bots, crawlers, or automated traffic. I'm already using Cloudflare Bot Management and several WAF rules. I'm curious how other developers handle this. What tools do you use to identify bot traffic? Do you rely on analytics, server logs, Clarity, or something else? How do you measure "real" traffic versus raw pageviews? Have you ever discovered that your actual human traffic was much lower than your analytics suggested? I'd love to hear what worked for you and any lessons learned from tracking user behavior and conversions. What is the solution from developer prospective? Here in the screenshot 70% are bots? https://preview.redd.it/19jsil0e5m6h1.png?width=2604&format=png&auto=webp&s=70591a9e33c635cfbaacc64c9af1b5800b6e2e74 submitted by /u/Parking_Pea5161 [link] [留言]

A gimbal camera that sees with you Discussion | Link