全部 AI 动态

Qwen 3.8 Max beat Fable 5 at building 3D physics scenes for 7x cheaper! We gave two models the same task. Build three self-contained 3D scenes, each one HTML file with real physics that runs itself. Prompts: - A marble machine that lifts marbles up a wheel and drops them on a loop - A car factory assembly line - A sawmill cutting logs into planks Outputs: Qwen 3.8 Max: 46.6K tokens, $0.28 Fable 5: 38.7K tokens, $1.93 Qwen worked much harder on the details. Its textures and shadows look real. Fable 5 built a fast prototype that works and left it there. In the marble machine, Fable's marbles show up from nowhere at the top of the wheel. In Qwen's, you can see them go up. On the car line, Qwen's cars look much better and more real. Fable's sawmill is very strange. The saw looks wrong, and the log goes right through a beam before the saw cuts it. Atomic Chat will have day zero support to run Qwen 3.8 Max locally!

My honest review of Hailuo 3 after testing it on PixVerse... One thing that genuinely surprised me was how well it handled scenes that are often difficult for AI video models. It was able to generate clips that other models might flag or heavily restrict, while still producing cinematic, coherent results. For this project, I used a storyboard-first workflow and let Minimax Hailuo 3 (MiniMax H3) on @PixVerse_ bring each shot to life. Some standout features: 🎥 Up to 15-second clips in 2K resolution 🖼️ Up to 9 reference images in a single generation 🎨 Style reference controls 🧠 Strong physical understanding for complex action and camera movement ✍️ Better prompt adherence and more accurate text generation 🎙️ Built-in lip sync 🌍 Support for multiple minority languages What impressed me most wasn't just the image quality—it was how well the model followed a structured storyboard made with GPT Image 2 and delivered cinematic camera moves, consistent characters, and polished action sequences. If you're building AI short films or commercials, this is definitely a model worth experimenting with. #PixVerseCPP

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4 on the Frontend Code Arena leaderboard with a score of 1,668! With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts. It also ranks high across all domains: #2 in Consumer Product #3 in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools #4 in Data & Analytics #5 Simulations Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena. Congrats to @Alibaba_Qwen on this huge release!

PixVerse公式が公開しているCanvas素材を参考に作ってみました🐶 コメント欄にCanvasの画像とプロンプトもつけておきます。 #PixVerse #PixVerseCPP

Kimi K3 on my shader test: "create a visually interesting shader that can run in twigl-dot-app make it like an infinite city of neo-gothic towers partially drowned in a stormy ocean with large waves." "Make it better" Very good model, not Sol Max or Fable, but great open weights

CODEX SKILL THAT TURNS CUSTOMER FEEDBACK INTO A ROADMAP! Most feedback analysis stops at positive or negative. I made a Codex skill that turns support tickets, interviews, surveys, reviews, sales calls, and churn notes into evidence-backed product priorities and credible customer proof. Give it your feedback files and Codex maps recurring pains, ranks what to build next, and links every recommendation back to exact evidence IDs. It keeps four things separate: -what customers said -the underlying problem -what to validate or build next -what you can honestly claim -> feedback clustering with source traceability -> product opportunity scoring -> Now / Next / Later roadmap -> customer proof + case-study candidates -> objections, churn risks, and unsupported claims -> searchable Startup Customer Evidence Map -> privacy-first quote and consent handling -> one-command install What would you analyze first: support tickets, interviews, or churn notes? Install: npx --yes startup-feedback-engine@latest 100% open source. Repo in Bio.

👀 we solved mobile development by turning our agents into a farm with @conductor_build cloud poke your chickens to keep things going 🐓

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: https://anatomy-livid.vercel.app/ Code: https://github.com/thebuggeddev/anatomy

My AI coding journey so far: * Copy paste between ChatGPT & vscode * Cursor autocomplete * Cursor sidebar * Claude code in cursor's terminal * Claude code/Codex in terminal, but no ide * Amp w/ 5 terminals at once * Codex Desktop App * Codex Desktop App + mobile

grok plugin marketplace add 7etsuo/write-legible-c grok plugin install write-legible-c --trust Grok Build with Grok 4.5 is producing the most beautiful C I have ever seen come out of a model. Every function under 25 lines with one job. Nesting never past depth 2. Zero naked literals. Every failure greps to a single producing line and the happy path runs straight down the left margin. Code you can read at 2am with the pager going off. It took a standard to get there. I shipped it as a Grok Build plugin. write-legible-c gates Grok with strict C11 machine legibility every time it touches a .c or .h file. Every function is an orchestrator, a leaf, or an adapter, never a mix. A TRY macro that makes the forgotten check bug impossible to hide. An 18 item checklist the model runs before it shows you code. Clean code is a performance feature too: rewrites that cut model perceived complexity lift LLM task performance by up to 21 percent. Full 18 section standard inside.

Built a mac app this week using the new Conductor API that just came out. If you use @conductor_build you may like it. It's called Whistle, and it's for those quick ideas you have on a project. It's a tray app, you click it, you start talking or typing an idea that just came to mind you want Conductor to work on for a bit. Then move on with your day, next time you open up Conductor it's done the research, prepped a doc, and you are ready to go. Hope you like. https://www.nabeelhyatt.com/experiments/whistle

Have you ever tried prompting by talking to Grok? It's really cool. I don't know why, but I'd never tried it before—it's really good!

GM Who needs a drone when PixVerse C1 can create this? ⛵️⚡️ An FPV flight weaving between sailboats at hyperspeed, ending with a giant splash spelling "ADVENTURE." Full prompt below 👇 Hyperspeed FPV shot: The camera dives through a flotilla of sailboats crossing a sparkling sea. Water sprays from the hulls while sunlight reflects off the waves. The camera threads between sails and exploding sea mist before entering a giant burst of ocean spray that forms "ADVENTURE" before fading into the horizon. Luxury travel, cinematic freedom.

One of our teammates ran a really fun little experiment —— you can re-skin your WorkBuddy with zero code ! Come check it out👀. http://x.com/i/article/2082076291969556481