2. DeepEncoder – The Optical Compressor Meet the star: DeepEncoder. It uses two backbones SAM (for perception) and CLIP (for global vision) bridged by a 16× convolutional compressor. This allows it to maintain high-res understanding without exploding activation memory. The
@godofprompt
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Technical Analysis of DeepSeek-OCR Vision-Text Compression
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1. Vision-Text Compression: The Core Idea LLMs struggle with long documents because token usage scales quadratically with length. DeepSeek-OCR flips that: instead of reading text, it encodes full documents as vision tokens each token representing a compressed piece of visual
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DeepSeek Introduces High-Efficiency OCR System Using Vision Tokens
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DeepSeek just did something wild. They built an OCR system that compresses long text into vision tokens literally turning paragraphs into pixels. Their model, DeepSeek-OCR, achieves 97% decoding precision at 10× compression and still manages 60% accuracy even at 20×. That
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Converting AI prototypes into functional apps via prompting
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Turn your vibe coded slop into an actual app with this prompt. Bookmark for later.
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AI Labs Ignite $1.3B Valuation Unnoticed
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AI just moved into physical labs. and nobody’s paying attention to what that actually means. Lila Sciences hit $1.3B valuation in 2 years by building “AI Science Factories.” automated labs where robots run experiments 24/7, test hypotheses, and generate discoveries without
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User experience with uncensored AI models
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Been playing with this Uncensored AI for a while now. If you're looking for a less restricted ChatGPT, this one's the best on the market right now. Try it out
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Using Grok Imagine for multi-stage cinematic video generation
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Grok imagine is INSANE.
— God of Prompt (@godofprompt) 19 octobre 2025
I made this shot in 15 seconds.
> Prompt:
"Hubble Deep Field image showing thousands of galaxies, camera selects one galaxy and zooms in at lightspeed, through stars, into solar system, down to Earth, through clouds, ending on SpaceX Starbase Boca Chica… pic.twitter.com/XoiWFcv8a1Grok imagine is INSANE. I made this shot in 15 seconds. > Prompt:
"Hubble Deep Field image showing thousands of galaxies, camera selects one galaxy and zooms in at lightspeed, through stars, into solar system, down to Earth, through clouds, ending on SpaceX Starbase Boca Chica -
Educational guide on practical prompting and use cases for Claude
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Claude made simple: grab my free guide → Learn fast with mini-course
→ 10+ prompts included
→ Practical use cases Start here ↓ -
Architectural Framework for AI Agent Memory and Workspaces
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Projects = Your Knowledge Base 1/ static context that's always loaded
2/ long-form documents, research, accumulated 3/ conversation history
4/ bounded to that specific project workspace
think: "here's everything about our Q4 product launch" Skills = Your Operating System 1/ -
How to correctly package AI agent skill files
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now package it correctly (this trips everyone up): Step 1: Create folder structure —
Brand_Guidelines/
├── http://
SKILL.md (contains the YAML + markdown body above)
└── resources/
├── logo.png
└── fonts/
— Step 2: ZIP it properly CORRECT structure: