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This guy built a tool that turns any document into a full animated explainer video. Drop in a PDF, an article or a research paper and it structures the content into a clear step-by-step explanation, then generates an animated video with narration built around it. The reason it stands... show more

0xMarioNawfal

263,430 subscribers

59,578 Aufrufe • vor 2 Monaten •via X (Twitter)

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6 Kommentare

Profilbild von Nico

Nicovor 2 Monaten

This is basically what $PLM did to options docs. No 40 page guide, just lock your stock, see the strike and premium, confirm. Complexity’s there if you want to verify it, never required to use it. Real equity options, absorbed in one screen. @plume_trade

Profilbild von Prince does AI

Prince does AIvor 2 Monaten

i'd use the PDF to video thing

Profilbild von Macro Bombastic

Macro Bombasticvor 2 Monaten

Mate, that's the kind of tool that actually solves a real pain. No more slogging through boring PDFs. I'd use it for whitepapers and research. Good find.

Profilbild von Can Matrix

Can Matrixvor 2 Monaten

What’s the easiest way to try DistilBook with a research paper? Looks super useful for making content more digestible!

Profilbild von 🧠 Fred | PocketIQ | Free AI Trading

🧠 Fred | PocketIQ | Free AI Tradingvor 2 Monaten

☝️ “Just hold” isn’t enough.

Profilbild von ZigZag5425

ZigZag5425vor 2 Monaten

@grok what is the link for this

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I am very excited about this: made a tool to visualize whats going on in p5js you write a normal p5js code and it turns it into a step-by-step animated process

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Orr Kislev

83,463 Aufrufe • vor 3 Jahren

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

CyrilXBT

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this guy built an AI video pipeline that turns one prompt into a finished short. he barely opens editing software. give Claude a simple idea. in the demo: a puppy rescue story. Claude runs the entire production from there: → generates the images with Nano Banana 2 → turns them into motion with Kinovi / Seedance 2.0 → stitches the clips together with FFmpeg → uploads the finished video no manually generating every frame. no dragging clips around a timeline for an hour. no stitching together the edit by hand. here’s the actual shift, and it’s bigger than “AI made a video”: Claude isn’t just one tool in the chain anymore. it’s coordinating the whole chain deciding what goes where, which tool handles which step, and executing it end to end. idea → images → video clips → edit → final render. one prompt in, finished short out. most people are still using AI one tool at a time generate an image here, cut it there, stitch it somewhere else, doing the coordination themselves. the bigger unlock isn’t a better individual tool. it’s connecting the tools so nothing needs a human in between steps. give it an idea. let the system make the video.

this guy built an AI video pipeline that turns one prompt into a finished short. he barely opens editing software. give Claude a simple idea. in the demo: a puppy rescue story. Claude runs the entire production from there: → generates the images with Nano Banana 2 → turns them into motion with Kinovi / Seedance 2.0 → stitches the clips together with FFmpeg → uploads the finished video no manually generating every frame. no dragging clips around a timeline for an hour. no stitching together the edit by hand. here’s the actual shift, and it’s bigger than “AI made a video”: Claude isn’t just one tool in the chain anymore. it’s coordinating the whole chain deciding what goes where, which tool handles which step, and executing it end to end. idea → images → video clips → edit → final render. one prompt in, finished short out. most people are still using AI one tool at a time generate an image here, cut it there, stitch it somewhere else, doing the coordination themselves. the bigger unlock isn’t a better individual tool. it’s connecting the tools so nothing needs a human in between steps. give it an idea. let the system make the video.

RUX

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