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I’ve been building Echo ( https://echo.tracerml.ai/ ), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task. It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined. That hypo

The interesting finding from a new [arXiv paper]( https://arxiv.org/abs/2607.16165 ) isn't that a frontier vision model failed a new benchmark, that happens weekly, but the specific shape of the failure and the fact that the models cannot patch it by writing their own code. The benchmark, called ActiveVision, contains 17 tasks across 3 categories designed, in the authors' words, to "force repeated visual perception rather than a single static description." GPT-5.5 at the highest exposed reasoning-effort tier solves 10.6% of items and scores zero on 11 of the 17 tasks. Claude Fable 5, which the authors note tops most reasoning and coding leaderboards, manages 3.5%. Three human participants averaged 96.1%. submitted by /u/Justgototheeffinmoon [link] [留言]

Google's selfie videos can be used for account access, AI Avatars, and age verification.

Bill would let Homeland Security chief decide when an AI should be shut down.

Claude's new voice model will let you reschedule your meeting or draft an email

Until now, voice mode has only been available on Claude Haiku, Anthropic's faster but less powerful model. Now the company is making its Opus and Sonnet models available in voice mode, and extending its reach into apps like Gmail, Slack, and Canva. When Anthropic launched voice mode earlier this year, it was primarily focused on […]

~7 min read · Tutorial I look at a lot of MUI admin templates. material-kit-react from the minimals people is one I keep going back to. Clean, typed, and the folder structure makes sense. Repo: minimal-ui-kit/material-kit-react . But every time I just want to see it, or change one color to check something, it's the same ritual. git clone , npm install , wait, npm run dev , wait more, tab over to localhost. Few minutes gone, a few hundred MB of node_modules on disk. All that to look at a dashboard. So this time I skipped the build. Opened the folder in CrossUI Studio , rendered src/main.tsx directly. No install, no Vite, no localhost. Below is what I did, including the bits that made me stop and think. One honest note first. This does not replace your dev server. You still need the real thing for tests, prod builds, actual feature work. It's good for the look-and-tweak loop. Evaluating a template, recoloring something, showing a client. The stuff where booting the whole toolchain costs more than the task itself. Quick note : local folder support requires a Pro account. To test it out, use the code in the original blog for a free upgrade. No credit card required, available while it lasts. Your browser does not support video. Watch on YouTube . 1. Clone to local disk (don't open it straight from GitHub) Studio can mount a GitHub repo directly. For a small repo that's the nicest path. For this one I cloned to disk first: git clone https://github.com/minimal-ui-kit/material-kit-react The reason is boring. src/ alone is ~130 files, ~245 in the whole project, spread over sections/ , components/ , layouts/ , theme/ , routes/ . Opening a project means the tool has to pull the files it touches. Over the GitHub API, on demand, that's a lot of small requests. It works, just not snappy, and you can hit the rate limit if you poke around. A local folder is only the filesystem, so it's instant. For a template this size, local wins. No npm install here. I only cloned the source. The

The clip features the David Bowie track “Five Years,” which includes lyrics such as “Earth was really dying (dying).”

The Series A was led by Battery Ventures, bringing AegisAI total funding to $49 million.

Let's say you need to implement a feature that returns a different package based on the user-provided coupon code. So you start with a model: public record Package { public int Id { get ; set ; } public string Name { get ; set ; } public double Price { get ; set ; } } And you write a function that returns a different package based on the coupon code: private static Package GetPackageFromCoupon ( string coupon ) { if ( coupon == "ABC" ) { return new Package { Id = 1 , Name = "PS5 Controller" , Price = 50.00 }; } if ( coupon == "EBC" ) { return new Package { Id = 2 , Name = "Iphone X" , Price = 200.00 }; } if ( coupon == "DDD" ) { return new Package { Id = 3 , Name = "X7 Mouse" , Price = 20.00 }; } return new Package { Id = 1000 , Name = "Soda" , Price = 1.00 }; } And invoke it from your main method: internal class Program { static void Main ( string [] args ) { var package = GetPackageFromCoupon ( "ABC" ); Console . WriteLine ( package ); Console . ReadLine (); } } Quick test Provide expected parameters and inspect the results. "ABC" => Package { Id = 1 , Name = PS5 Controller , Price = 50 } "EBC" => Package { Id = 2 , Name = Iphone X , Price = 200 } "DDD" => Package { Id = 3 , Name = X7 Mouse , Price = 20 } Works as expected. Also, if you enter something that doesn't exist: "a" => Package { Id = 1000 , Name = Soda , Price = 1 } The Problem What if you need to add more coupon codes and return different variations of the Package object? Well, it's gonna get pretty messy very soon. Quick solution - Dictionary Rather than writing every possible variation in the if block, create a dictionary where the key is the coupon code and the value is the Package: private static readonly Dictionary < string , Package > _packages = new () { [ "ABC" ] = new Package { Id = 1 , Name = "PS5 Controller" , Price = 50.00 }, [ "EBC" ] = new Package { Id = 2 , Name = "Iphone X" , Price = 200.00 }, [ "DDD" ] = new Package { Id = 3 , Name = "X7 Mouse" , Price = 20.00 }, }; The next step is to