Tackling multiple tasks with a single visual language model

How do LLMs work with Vision AI? | OCR, Image & Video Analysis

Introducing Vision Language World Model (VLWM): A foundational AI world model (8B) that advances the frontier of physical world planning by combining vision, language, and advanced reasoning… | Pascale Fung | 33 comments

What’s AI by Louis-François Bouchard on Instagram: "Meet DeepSeek-OCR, the new kid rewriting how we handle long-context vision. Instead of forcing LLMs to digest endless text, it compresses text into vision tokens—turning documents into a compact optical language. The result? 97% accuracy at a 10× compression ratio and 60% even at 20×. That’s wild. This model runs a Mixture-of-Experts decoder that beats 7B+ vision models with just 570M active params, thanks to smart token efficiency—not brute fo

Local AI Desktop Assistant (No Cloud, No Subscriptions) update: Quick update on the local AI system I’ve been building on my desktop. Where I'm at now: I have a fully working, local voice AI agent running on my own machine — no cloud services, no data leaving the computer. Right now it can: Listen by voice (push-to-talk) Transcribe speech locally Think using a local large language model Speak responses back out loud Run in the background (no command windows popping up) Shut down cleanly with hot

Ivy Doll on Instagram: "As a large language model — here's what most people miss: it's not just my environmental impact, it's my bland responses, artistic theft, and unwarranted confidence that makes me a great owl. #owlimpression #owl #chatgpt"