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Someone built an interactive GPT visualizer that shows every single step of how a model generates output. Not just the final answer. The actual pipeline.

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Aman

13,941 subscribers

106,955 görüntüleme • 4 ay önce •via X (Twitter)

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🌶️I have infinite creatives now. That's not a metaphor. I built a system that generates complete video ads from a single marketing angle. Not scripts. Not briefs. Actual finished videos. Voiceover, animation, captions, assembled and exported. One command. Minutes, not weeks. I studied a ton of ad creators. Figured out how they think about scenes, pacing, hooks, visual styles. What actually converts vs what just looks cool. Then I built something none of them have. A fully automated pipeline that goes from a marketing angle to a rendered .mp4 without touching a single tool manually. today alone - already 300+. That's just the beginning. I literally cannot stop printing creatives.
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🌶️I have infinite creatives now. That's not a metaphor. I built a system that generates complete video ads from a single marketing angle. Not scripts. Not briefs. Actual finished videos. Voiceover, animation, captions, assembled and exported. One command. Minutes, not weeks. I studied a ton of ad creators. Figured out how they think about scenes, pacing, hooks, visual styles. What actually converts vs what just looks cool. Then I built something none of them have. A fully automated pipeline that goes from a marketing angle to a rendered .mp4 without touching a single tool manually. today alone - already 300+. That's just the beginning. I literally cannot stop printing creatives.

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Introducing Odyssey-2 Pro—a frontier world model that generates long-running, interactive simulations in 720p! We're also launching the first world model API, to enable devs to build magical apps. We're now in the GPT-2 era of world models. Let the explosion of apps commence!
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Introducing Odyssey-2 Pro—a frontier world model that generates long-running, interactive simulations in 720p! We're also launching the first world model API, to enable devs to build magical apps. We're now in the GPT-2 era of world models. Let the explosion of apps commence!

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I built a natural language CLI. It generates Python scripts to answer your question, then auto-executes them in the cwd. You will not believe how capable this simple pattern is. Rawdogging gpt-4 from the command line. Rawdog. 1/
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I built a natural language CLI. It generates Python scripts to answer your question, then auto-executes them in the cwd. You will not believe how capable this simple pattern is. Rawdogging gpt-4 from the command line. Rawdog. 1/

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I was so terminally bored I scraped hundreds of VTubers and built a full interactive network that shows EVERY connection between VTubers and their model artists + riggers. 5 guys rigged half of Hololive. One rigger owns the top indie scene. Interactive VTuber → Artist/Rigger network + leaderboard
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I was so terminally bored I scraped hundreds of VTubers and built a full interactive network that shows EVERY connection between VTubers and their model artists + riggers. 5 guys rigged half of Hololive. One rigger owns the top indie scene. Interactive VTuber → Artist/Rigger network + leaderboard

✨ 𝗗𝗔𝗥𝗞 ✨ Shitposter Detective

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Claude Fable 5 built a 3D product website with Claude Code Generate an image of a product with the Magnific MCP, and convert it into a 3D model. Download that model and give it to Fable 5 to develop an interactive page with. Here's the final result + prompts:
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Claude Fable 5 built a 3D product website with Claude Code Generate an image of a product with the Magnific MCP, and convert it into a 3D model. Download that model and give it to Fable 5 to develop an interactive page with. Here's the final result + prompts:

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📢GaussianGPT: autoregressive 3D Gaussian scene generation. We introduce a GPT-style model that directly generates 3D Gaussian scenes, token by token, in a series of small, discrete decision steps. Generation, completion, and large-scale outpainting in a single pipeline. Unlike diffusion-based approaches, GaussianGPT explicitly models the scene distribution at every step, allowing for quite flexible scene synthesis. 🌐 ▶️ Great work by Nicolas von Lützow, Barbara Roessle, Katharina Schmid

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Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup
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Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

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Built a custom GPT that generates 1,000 perfect LinkedIn Sales Navigator leads in just 14 seconds! Want access? Like & Comment "GPT" below and I'll DM the link (make sure we're connected). Check out the demo video below.

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Holy shit… Someone just made horror movies interactive. It’s called ScaryStories. live, an AI that generates entire horror worlds that you control in real-time. No pre-written scripts. No predictable endings. Just pure, adaptive terror. Here’s how: ↓

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ONE PROMPT IN CHATGPT IMAGE 2 JUST REPLACED AN ENTIRE $5,000-$50,000 BRAND DESIGN TEAM Full brand identity. Colors, typography, logo style, aesthetic. All generated in one single prompt. Here's the exact workflow: Step 1: Paste one prompt asking for a complete brand identity. GPT Image 2 generates everything – color palette, fonts, logo direction, overall visual style. Step 2: Use that output as context for every asset you generate after. Campaign visuals, shop graphics, product mockups, social posts – all stay consistent and on-brand automatically. The result: A full visual identity that looks like a real design team built it. Clean text rendering. Consistent style across every single asset. Design agencies charge $5,000-$50,000 for brand identity work. GPT Image 2 does it in one prompt. The full prompt that makes this work is in the video below. Bookmark this post, you'll want to come back to it.

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Introducing Architect I am releasing the first iteration of a model which generates optimized project plans with a single prompt. Think Linear or JIRA, but for agents. A living model that learns from the gossiping network, and gets smarter with every interaction.
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Not a single actual answer from the government today. Imagine being this unprepared for work.
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Andrej Karpathy just built GPT-2 from scratch on camera! Every line. Every component. Every optimization decision. Transformer blocks. Self-attention. MLP. Mixed precision. Flash Attention. AdamW. Distributed training across GPUs. 4 hours. Free. Not a lecture about how GPT-2 was built. The actual build. Running. Training. Evaluated against the original OpenAI checkpoints. The engineers who watch this do not just understand language models. They understand them at the level required to build the next one. The gap between using AI and being capable of building it is not a PhD program. It is 4 hours with the person who makes this look like something any determined engineer can do.

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