35B total. 3B active. Built for serious agentic work. Excited to share Occamy-1.0, our team's first open-source agentic model. Occamy delivers strong results across long-horizon co-work, automation, business, tool-use,while sitting near the low-cost knee of the Pareto frontier.

I'm excited to see so many recent initiatives on recursive self-improvement. I finally find some time to write a short blog for my thoughts! From well-defined to semi-well-defined problems, exciting steps forward towards AI scientists! One problem I realize I ran accidentally into from 2024, how do we accumulate experience with LLMs for solving problems better. And more later how this can help us build AI scientists for those I call "semi-well-defined problems".

Hi, I’m Yongchao Chen, an Assistant Professor at Tsinghua University’s College of AI and founder of ApexIntelligence.We’ve raised $50M in angel-stage funding last month. My background: a bachelor’s from USTC, a PhD through joint training at Harvard and MIT, and research at Google DeepMind, Microsoft, and IBM. My focus: self-evolving foundation models, robotics, and AI for Science. The question driving my work: What if models could identify problems, form hypotheses, design experiments, validate results, and continuously improve through feedback—all on their own? That’s what I’m working toward: enabling models to evolve themselves. Here, I’ll share research insights, thoughts on recursive self-improvement, and lessons from building ApexIntelligence. Researchers, founders, investors, and engineers: let’s exchange ideas and explore opportunities to work together. Follow along, connect with me, and drop your questions in the replies. Ask me anything!

🌍𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀, 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗮𝗻𝗱 𝗵𝗲𝗮𝗹𝘁𝗵 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘄𝗵𝗲𝗿𝗲 𝗶𝘁 𝘄𝗶𝗹𝗹 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗯𝗲 𝘂𝘀𝗲𝗱. Delighted to announce the launch of #MAGIC (𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗚𝗹𝗼𝗯𝗮𝗹 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻) introduced in our new @NaturePortfolio @NatureMedicine correspondence. 📜MAGIC paper: nature.com/articles/s41591-0… 🔗MAGIC website: magic-ai.health/ MAGIC brings together clinicians, AI researchers, policymakers, industry stakeholders and local experts to address a critical question: does strong benchmark performance translate into safe, useful support across diverse healthcare settings? Our initial priorities are: ✅ A global health LLM evaluation benchmark addressing multilingual coverage, regional disease burden and sociocultural adaptability. ✅ A global deployment reporting standard clarifying intended use, target users, healthcare settings, and performance and safety across populations. Thank you to our colleagues #worldwide for helping launch the network. 𝗢𝘂𝗿 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘄𝗵𝗲𝗿𝗲 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝘄𝗼𝗿𝗸𝘀, 𝗳𝗼𝗿 𝘄𝗵𝗼𝗺, 𝗮𝗻𝗱 𝘂𝗻𝗱𝗲𝗿 𝘄𝗵𝗮𝘁 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀. #MAGIC #MedicalAI #AI #LLM #GlobalHealth #ResponsibleAI #HealthEquity #DukeNUS @dukenus

I built Oh My Mouse for macOS: • Side buttons switch desktops • Reverse/smooth scrolling • Per-app mappings • Double-click Chrome tabs to close Native Swift. Source-only beta; build it yourself. Mixed MIT/MMF licensing. Feedback welcome! github.com/yuchenwang3/oh-my…

Occamy-1.0 A cost-efficient 35B model built for long-horizon co-work agents, sitting at the low-cost knee of the Pareto frontier while staying competitive with much larger systems.

better to name them as BME problems lmao

A 35B co-work agent with only 3B active parameters. Occamy-1.0 is built to carry complex workflows through. 📜 Apache 2.0. 🤖 modelscope.ai/models/Accio-L… 📄 modelscope.ai/papers/2609.11… 🏆 Scores 69.10 on AutomationBench, up 29.7 points from Qwen3.6-35B-A3B and ranking #1 in the evaluated 35B-A3B group. 🧭 Maintains context across search, tool calls, terminal coding, files, delegated runs, and history compaction, while retaining strong instruction following. 🧠 Execution-grounded training spans long-horizon interaction, software engineering, and tool-call grounding. Marathon and Sprint experts are merged, then refined with SAO. 🛠️ The open Dressage stack supports multi-harness RL. BF16, FP8, NVFP4, and GGUF checkpoints are also available.

Also working on the next version...