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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

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106,955 просмотров • 4 месяцев назад •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 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

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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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GPT-5 Thinking also built an interactive experience, but seemed a little embarrassed by it, adding lots of little caveats.
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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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I built a kerning visualizer It analyzes every letter pair, then creates the correct letter spacing (optically, not based on an equation), and explains the reasoning behind each adjustment
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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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