Alan Dao's personal blog

As of this moment Jun 21 2025, Jan-nano is trending on huggingface and you can see clearly from the main landing page. Going back to 2023 when we started the company and our journey we never expected to go this far. We still have not made it yet, but this is the result of our long term commitment to doing open source and building what we love. Release stat up to 21 Jun 2025 🔗 Reddit: we have 250k views with ~1300 upvotes and hundreds of comments Huggingface: we have >40.

We held an AI Meetup on 31-01-2025, fun gatherings of people interested in AI. I will update the playlist of all the presentation and the slides of the event here. 📂 Recorded Livestream 🔗 📂 Presentations & Slides 🔗 00 - Opening ✅.zip 02 - GH200 Training ✅.zip 03 - VN-MTEB ✅.zip 04 - Lựa Chọn Mô Hình AI ✅.zip 05 - 44 USD Training ✅.zip 06 - SpeechLess ✅.zip 07 - MARS ✅.

I need to vent and share something that’s blown my mind today. I just came across this paper evaluating state-of-the-art LLMs (like O3-MINI, Claude 3.7, etc.) on the 2025 USA Mathematical Olympiad (USAMO) problems. And let me tell you—this is wild. First off, here’s a quick breakdown of what they did: They tested six top-tier LLMs on six proof-based math problems from the 2025 USAMO. Each model attempted every problem four times, and solutions were graded by expert human judges using standardized rubrics.

This quarter, I focused on launching two major projects: AlphaMaze 🔗AlphaMaze is a two-stage training framework that enhances large language models with visual reasoning for maze navigation. It combines Supervised Fine-Tuning (SFT) with Group Relative Policy Optimization (GRPO) to help models build an internal “mental map” of their environment. Find out more: Paper: arXiv:2502.14669 Code: GitHub - janHQ/visual-thinker Live Demo: alphamaze.menlo.ai PoseLess 🔗PoseLess is a vision-based robot control framework that maps 2D images to joint angles without explicit pose estimation.

If you’ve been keeping an eye on OpenRouter, you might have noticed that its total token usage has skyrocketed. In fact, I’ve tracked the public data from their website and compiled some stats, showing an incredible 76x growth since 2024 (y-axis is in 10B). So, what’s driving OpenRouter’s success? What give way to the success of OpenRouter? 🔗OpenRouter’s growth isn’t happening in isolation—it’s closely tied to the rapid adoption of AI-powered coding assistants.