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Big news: Gemini 4 Argon (High) by @GoogleDeepMind just landed #1# in Text Arena with 1525 pts, and #8# in Code Arena: WebDev with 1679 pts! This release has reshaped the Text Arena Pareto frontier with a blended $8/MToken! Gemini 4 Argon (High) is now the most cost efficient model, see its placement on Pareto frontier below. In the Text Arena, Gemini 4 Argon (High) ranks #1# in Coding, Hard Prompts, Instruction Following, Longer Query, and Creative Writing. It also leads every occupational domain evaluated, with additional #1# spots in English, Non-English, Chinese, and Russian. This model is +20 points above the #2# ranked Claude Opus 4.6 (High), and a huge leap from Google’s previous release, Gemini 3.8 Flash (High) at #11#! In Code Arena: WebDev, Gemini 4 Argon (High) gained +96 points from Gemini 3.8 Flash (High), and went from #29# to #8#. Congrats to the @GoogleDeepMind team on this impressive frontier release!
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Finally, a good paper testing whether Agent Skills actually help. Worth reading if you are maintaining a skill library in a team. WebDev-Skills-Bench runs 31 public WebDev Skills over 50 Web-Bench projects and 1,000 ordered tasks, with a length-matched irrelevant control so prompt-length effects can be separated from Skill content. Injecting the target Skill reduces mean Pass@2 by 1.3% to 4.2%, lowers task completion depth, and raises token cost by 72% to 394%. Gains show up in 17% to 36% of Skill-project pairs. The controls split the damage into two failure modes. Some models are length-distracted, where an equally long irrelevant Skill reproduces most of the loss. Others are content-misled, where prompt length is neutral, and the Skill content still costs 1.1 to 1.4 points. Other findings: > Losses concentrate on easy early tasks > Skill rankings transfer weakly across models > Anti-pattern rules outperform example-heavy content inside the Skills that do help Paper: Track more trending AI papers in our academy:
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Grok 4.6 came a long way in webdev input sketch leads to this beauty , i just asked change this into website , no skill and no special instruction
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Mac image compression tool: ImgZilla Most compressors create new files — which means you have to recheck every reference in your website or code project. ImgZilla does it differently: • Compress in place (same filename & folder structure) • Fully local on macOS — no uploads • Batch optimize PNG / JPEG / WebP / AVIF Perfect for Mac users who maintain websites and project assets long-term. 👉 #MacApps# #DevTools# #WebDev#
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Mac 图片压缩工具:ImgZilla 很多图片压缩工具会生成新文件,但对于网站和代码项目来说,文件名变化意味着还要重新检查引用。 ImgZilla 支持: • 原地压缩,不改文件名和目录结构 • macOS 本地处理,不上传图片 • 批量优化 PNG / JPEG / WebP / AVIF 适合长期维护网站和项目资源的 Mac 用户。 👉 #MacApps# #DevTools# #WebDev#
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我用 AI 做了一个东方文化主题的网站:善缘阁 从页面设计到完整交互流程,这次把这些功能真正跑通了,全程 AI ,自己没有写一行代码 体验地址: #BuildInPublic# #AI# #WebDevelopment# #IndieHacker#
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finally liquid glass web is here and it's open source. real WebGL refraction, chromatic aberration, liquid motion not usual backdrop-filter css hack. playground at code at MIT so do whatever you want with it #LiquidGlass# #OpenSource# #ReactJS# #WebGL# #UIComponents# #FrontendDevelopment# #CSS# #JavaScript# #WebDev# #UI# #UX# #React# #ComponentLibrary# #OpenSourceSoftware# #Frontend#
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Our first release is Gemini 3 Pro, which is rolling out globally starting today. It significantly outperforms 2.5 Pro across the board: 🥇 Tops LMArena and WebDev @arena leaderboards 🧠 PhD-level reasoning on Humanity’s Last Exam 📋 Leads long-horizon planning on Vending-Bench 2
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2.5 Pro is now the best model for coding and learning. With a strong ELO score of 1415, it’s topping the WebDev Arena leaderboard - and it incorporates LearnLM, our family of models fine-tuned for learning built with educational experts. #GoogleIO#
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This latest version of Gemini 2.5 Pro leads on the WebDev Arena Leaderboard - which measures how well an AI can code a compelling web app. 🛠️ It also ranks #1# on @LMArena_ai in Coding.
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