Guan Wang @makingAGI
CEO of Sapient Intelligence. Exploring the path to AGI through brain-inspired AI. 🧠🤖 #AGI #NeuroAI sapient.inc Singapore Joined July 2025-
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Hierarchical reasoning works well on large language models!🎉
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Guan Wang retweeted
🔥It’s official-Sapient HRM Discord Community is now live！ This is a place to discuss, connect, and collaborate as we shape HRM’s future together. We will be sharing our latest work, releases, and tips, as well as hosting Q&A sessions💬💬 Hop on this journey with us as we push…
Thanks to @arcprize for reproducing and verifying the results! ARC-AGI-1: public 41% pass@2 - semi private 32% pass@2 ARC-AGI-2: public 4% pass@2 - semi private 2% pass@2 Due to differences in testing environments, a certain amount of variance in results is acceptable.…
❤️ Thanks for highlighting our HRM paper! Apologies for any confusion—we're working on clarifying this thoroughly. Stay tuned for updates!
❤️ Thanks for highlighting our HRM paper! Apologies for any confusion—we're working on clarifying this thoroughly. Stay tuned for updates!
Thanks for featuring us!😃
🌟Exactly my thoughts on the next-gen of AI reasoning. Leveraging insights from neuroscience, our Hierarchical Reasoning Model offers practical, efficient scaling of depth. Not every problem can be solved faster with more processors; sometimes, the key is adding depth.
🌟Exactly my thoughts on the next-gen of AI reasoning. Leveraging insights from neuroscience, our Hierarchical Reasoning Model offers practical, efficient scaling of depth. Not every problem can be solved faster with more processors; sometimes, the key is adding depth.
Guan Wang retweeted
Our co-founder William Chen is going to share more about the open-sourced Hierarchical Reasoning Model (HRM) at #FortuneAISingapore @FortuneMagazine tomorrow, under the panel theme "Beyond Human: AGI And The Future We’re Building"! We are excited about the practical path towards…
Will Sudoku become the MNIST for reasoning? Simple rules, clear structure, unique solutions—yet surprisingly challenging for modern LLMs, often requiring explicit trial-and-error to solve. huggingface.co/datasets/sapie…
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