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Moondream 3 can parse complex parking signs in one step. Prompt: "extract sign details" → JSON of each rule + transcription. No OCR stack, no regex: just vision that understands structure. ⚡️Fast, cheap, grounded vision AI.

moondream

10,964 subscribers

21,862 просмотров • 11 месяцев назад •via X (Twitter)

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A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

AlphaSignal

92,137 просмотров • 5 месяцев назад

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

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13,630 просмотров • 5 месяцев назад

Why add sensors and complex systems when physics can do the job? This production line sorts products using only weight and controlled bursts of air. ✅ No cameras or vision models ✅ No expensive integration ✅ Just reliable, repeatable separation at scale It’s a reminder that not every automation breakthrough is about AI or advanced robotics... sometimes simple mechanical principles are the most efficient solution. —- Weekly robotics and AI insights. Subscribe free:

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Ilir Aliu

532,401 просмотров • 9 месяцев назад

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Ihtesham Ali

135,634 просмотров • 6 месяцев назад

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SCOTTY BEAM

20,503 просмотров • 2 месяцев назад

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Superman

1,107,148 просмотров • 2 месяцев назад

They said no one could defeat the creature that haunted its streets. They forgot one thing… legends are born by proving impossible stories wrong. Made with Nano Banana 2 + Seedance 2.0 Fast on Picsart Bring your ideas to life faster with Seedance 2.0 Fast prompt 👇 From cinematic action scenes and realistic character animations to stunning product ads, creative transformations, and viral social content, you can generate high-quality AI videos in minutes with incredible speed. Whether you're a content creator, or just love experimenting with AI, now is the perfect time to see what Seedance 2.0 Fast can do. 🎁 Special Offer Want to try Seedance 2.0 Fast for FREE? Comment below and you'll receive week of unlimited access to experience the full power of Seedance 2.0 Fast. No limits. No waiting. Just create.

They said no one could defeat the creature that haunted its streets. They forgot one thing… legends are born by proving impossible stories wrong. Made with Nano Banana 2 + Seedance 2.0 Fast on Picsart Bring your ideas to life faster with Seedance 2.0 Fast prompt 👇 From cinematic action scenes and realistic character animations to stunning product ads, creative transformations, and viral social content, you can generate high-quality AI videos in minutes with incredible speed. Whether you're a content creator, or just love experimenting with AI, now is the perfect time to see what Seedance 2.0 Fast can do. 🎁 Special Offer Want to try Seedance 2.0 Fast for FREE? Comment below and you'll receive week of unlimited access to experience the full power of Seedance 2.0 Fast. No limits. No waiting. Just create.

Sharon Riley

64,199 просмотров • 2 месяцев назад

Sora 2 + Linah AI + n8n is borderline unfair 🤯 This stack auto-generates UGC ads at scale with OpenAI’s new Sora 2… and routes them through Linah AI for instant product-in-hand content + delivery. Perfect for ecom brands & agencies that need a constant flow of creatives without bleeding $10K/month on influencers. Instead of chasing creators, shipping products, and waiting weeks… → Upload 1 product image → Add your prompt & pick video quantity (1–50) → Sora 2 generates hyper-realistic UGC ads → Linah AI ensures product-in-hand consistency + brand look → n8n delivers polished videos straight to your account Each one costs cents. Each one comes with full commercial rights. And the whole process is fully automated. No waiting. No freelancers. Just infinite UGC on demand. Want the workflow + prompt pack? Comment “SORA” + like this post (you’ll need to follow so I can DM it over)

Demirdjian Twins

29,821 просмотров • 11 месяцев назад

i just made this UGC ad with sora 2 using ONE prompt... no editing, no reshoots, no actors - just one super-prompt and it generated a full 10-second ad that looks like it was shot by a hollywood camera businesses are still paying $500+ per UGC creator when you can do this in 2 minutes for free (normies can't even tell it's AI) but prompting for Sora 2 is completely different from anything else... i spent days generating hundreds of videos testing different techniques until i cracked the format now i turned all of that into a detailed custom prompt file you can inject directly into ChatGPT or Claude as instructions reply 'SORA' + RT & follow me and i'll send you the prompt file (must follow me so i can dm)

i just made this UGC ad with sora 2 using ONE prompt... no editing, no reshoots, no actors - just one super-prompt and it generated a full 10-second ad that looks like it was shot by a hollywood camera businesses are still paying $500+ per UGC creator when you can do this in 2 minutes for free (normies can't even tell it's AI) but prompting for Sora 2 is completely different from anything else... i spent days generating hundreds of videos testing different techniques until i cracked the format now i turned all of that into a detailed custom prompt file you can inject directly into ChatGPT or Claude as instructions reply 'SORA' + RT & follow me and i'll send you the prompt file (must follow me so i can dm)

Miko

84,068 просмотров • 11 месяцев назад

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

Alvaro Cintas

202,271 просмотров • 3 месяцев назад

Hiring managers are still spending 10–15 hours manually screening resumes. AI can do it in minutes. I tested it with one prompt: “Review 200 resumes against this job description. Rank the top 10 and explain why.” Here’s what came back: • A ranked shortlist with match scores • Clear, evidence-based reasoning for every candidate • Red flags highlighted with context • A side-by-side comparison of the top contenders • Custom interview questions tailored to each profile No fluff. No guesswork. Just structured, defensible hiring insights—fast. This is what modern recruiting looks like.

CT

38,053 просмотров • 5 месяцев назад

seedance 2.0 + my v2 AI UGC prompting system is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insane

seedance 2.0 + my v2 AI UGC prompting system is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insane

Miko

81,676 просмотров • 7 месяцев назад

Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)

Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)

HeyOz

43,291 просмотров • 4 месяцев назад

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

EP

28,949 просмотров • 1 месяц назад

I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉

I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉

Quentin Valembois

11,449 просмотров • 11 месяцев назад

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 просмотров • 2 месяцев назад

NEW HTML VIDEO SKILL: Claude can now make photo-grid promo video ads like these. These are very popular offer-style ads that work well for bottom-of-funnel conversions. Brands will often run these when they're doing seasonal sales, for example. It's pure HTML, so it's very cheap to make because there's no video generation cost. You can create dozens of variants very fast and then test them in Meta. All you have to do is install the skills and give Claude your brand website. This skill is insane - it'll make the entire Ad and give you a link where you can download the mp4 file. > If you want more variants, just mention in the prompt > If you have a specific concept in mind, just mention in the prompt > If you want any edits on the generated ad, just mention in the prompt Comment Goose and I'll DM you the skill (must be following so I can DM you)

Shiv

92,404 просмотров • 2 месяцев назад

This is just one of the parts of my secret sauce that makes up ⚡️ Hyper Realism on Photo AI and Interior AI Really high definition crispy details at up to 24 megapixels and very fast too and the most detailed upscaler out there now Kinda obvious but just going super high in resolution solves most of the problems of AI photos because every tiny detail (like a tiny hair on a skin) becomes a 640x480 block that can be generated by AI much more accurately than trying to do it as a few pixels It's made by my old AI dev philz1337x and for everyone to use at clarityai .co, I'm not affiliated but he's my friend and I use it!

This is just one of the parts of my secret sauce that makes up ⚡️ Hyper Realism on Photo AI and Interior AI Really high definition crispy details at up to 24 megapixels and very fast too and the most detailed upscaler out there now Kinda obvious but just going super high in resolution solves most of the problems of AI photos because every tiny detail (like a tiny hair on a skin) becomes a 640x480 block that can be generated by AI much more accurately than trying to do it as a few pixels It's made by my old AI dev philz1337x and for everyone to use at clarityai .co, I'm not affiliated but he's my friend and I use it!

@levelsio

395,961 просмотров • 11 месяцев назад