Follow AI Builders — Not Influencers
Zhipu AI released the GLM-OCR technical report yesterday. A model that tops on OmniDocBench V1.5 with a 94.62 score - with only 0.9B params! I give them credit where credit is due: we are genuinely excited about any research that pushes the frontier of document parsing at sub-1B scale. Between GLM-OCR, dots.ocr, paddleOCR, Deepseek, small doc parsing models are getting really good really quickly 📈
🚨 Want to parse complex PDFs with SOTA accuracy, 100% locally? 📄🔍 At just 0.9B parameters, you can drop GLM-OCR straight into LM Studio and run it on almost any machine! 🥔 🧠 0.9B total parameters 💾 Runs on < 1.5GB VRAM (or ~1GB quantized!) 💸 Zero API costs 🔒 Total data
Codexing games together with my 12 yo has been a surprisingly fun dad-son activity over the past couple months as well I don’t pretend he’s really learning to code through that but the very low friction from ideas to implementation and the pure pleasure to invent/propose-anything/mix-and-match-games-ideas/collaboratively-create-something-fun is deeply enjoyable Somewhere between LEGOs and exquisite corpse
My 9 yo is now fully independent with codex and it's insane to watch, we built a few games together and then he went off to build his own tower defense, adding features by himself and testing them ... crazy
RT Vaibhav (VB) Srivastav Excited to Support Dr. Datta and his lab in their mission to push healthcare research in India! Codex 🤝 India 🇮🇳 Original tweet: https://x.com/reach_vb/status/2033193091654439150
🚨Update: Our Lab is now fully transitioned to Codex! ✅ Happy to share that all Members of the Technical Staff of #CRASHLab are now on Codex through a generous support from @OpenAI through ChatGPT Pro! 🙏 This is almost ~ $15000 dollars worth in kind support and I am
