
Professor in NYU Stern Business School and Computer Science, specialized in AI and Blockchain | 商学院和计算机教授, AI & 区块链专家 #web3 #AI #blockchain #defi
Joined February 2010
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Professor X retweeted
new paper: RLVR Exploration-Exploitation🫨
we carefully studied several interesting open questions regarding RLVR dynamics in entropy and clipping mechanism...
p.s. "uncontaminated" Llama could also improve under random reward, while Qwen-Math might also fail to improve.
Professor X retweeted
Check our #NeurIPS2025 work ComPO, a new preference alignment scheme that
😋Effectively extracts signals from noisy pairs that DPO cannot utilize;
🤯"Micro-finetuning": Only updates 0.0002% of weight!
😎Resolves likelihood-displacement
✨Novel zeroth-order LLM training method:
Professor X retweeted
Introducing The Most Advanced Memory System for LLM Agents
MIRIX is by far the most advanced memory system in the world, designed to make AI truly remember, learn, and help you over time.
Website: mirix.io/
Paper: arxiv.org/abs/2507.07957
Github: github.com/Mirix-AI/MIRIX
1️⃣ Performance Benchmarks
On ScreenshotVQA: 410% improvements over Gemini with 93.3% storage reduction; 35% improvements over RAG with 99.9% storage reduction!
On LOCOMO, we obtained 85.4% accuracy, the current state-of-the-art performance (better than Mem0, MemOS, Zep, ...)
2️⃣ Six Core Memory Types (Inspired by Human Cognition)
1. Core Memory: Stores the AI’s personality and your long-term preferences: tone, settings, identity.
2. Episodic Memory: Your personal “event log.”
3. Semantic Memory: Facts, concepts, and your social graph.
4. Procedural Memory: How-tos and workflows.
5. Resource Memory: Your raw materials, files, notes.
6. Knowledge Vault: Verbatim information, your addresses (less sensitive), ID numbers (highly sensitive), encrypted with multi-level access controls.
3️⃣ Multi-Agent Workflow
We have eight different agents:
⚙️ Meta Memory Manager: Analyzes inputs, then routes them to the right memory modules.
⚙️ Memory Managers: Specialized for each memory type, insert, deduplicate, merge, index, embed data.
⚙️ Chat Agent: Interfaces with the user, synthesizes context-aware responses
Then during memory update:
(1) Checks if similar data already exists;
(2) Let meta memory manager analyze and route to different agents,
(3) After that, Each module structures, merges, and stores in parallel.
(4) Finally, all modules report back when done.
💡 This is why we call it an AI “cognitive prototype.” It’s not just an index. It’s the first step toward a system that remembers, reasons, and grows with you.
Professor X retweeted
A Personal AI Assistant that Sees What You See and Understands You - Powered by Our Most Advanced Memory System
🧠 Imagine having a personal AI that truly remembers you.
Not just another chatbot. Not just a search box.
A real assistant that sees what you see, understands what you care about, and helps you turn scattered information into clarity and action.
Today, we’re introducing MIRIX, the first AI personal assistant powered by the world’s most advanced memory system.
📈 Why does this matter?
We live in an era of overwhelming information.
Most AI tools can only answer questions in the moment. But real productivity—and real understanding—comes from memory.
That’s why we built a system that doesn’t just process your input but continuously learns, organizes, and evolves alongside you.
💡 What can you do with it?
Instantly recall anything you’ve seen or worked on;
Draft and polish applications, reports, or emails;
Analyze documents and get concise summaries;
Keep your knowledge organized automatically;
Never lose important insights again...
🔒 Your data stays yours.
Everything you share is stored securely and privately. You control what to record and what to delete—always.
🚀 We believe this is the future of AI:
A true second brain that doesn’t just respond, but remembers and understands.
Ready to try it?
👉 mirix.io/
🛠️ Curious how this memory system works? In the next post, I’ll share benchmarks and the technical story behind it.
#AI #PersonalAssistant
Professor X retweeted
🚨 Get ready for CryptoAI Summit 2025 – where AI meets Web3 in NYC!
🗓️ May 10 | Full day | 6 powerful panels
One of the most talked-about topics?
🎙️ Panel 6: “AI Agents & Meme Coins – The New Market Makers?”
Professor X retweeted
At our latest CDS Seminar, CDS-affiliated @NYUStern's Prof. Xi Chen (@Prof_XBlock) discussed privacy-preserving dynamic pricing that protects customer data, and a new blockchain mechanism for decentralized AI training markets.
His work bridges privacy, ML, and blockchain tech.
Professor X retweeted
My recent work on Proof-of-Learning arxiv.org/abs/2404.09005
(A new version with substantially improved theoretical results is coming!)
Professor X retweeted
What do #NFTs & Chat GPT-4 have in common?
Attend #NFTNYC2023 and hear from @Prof_XBlock (Professor, @nyuniversity) on how AI & blockchain technologies intersect.
Check out the program here: NFT.NYC/program
Professor X retweeted
Our ZKP MOOC (zk-learning.org) has been really exciting with ~3500 enrolled globally!
Today we're thrilled to announce a new ZKP/web3 hackathon, open to the public, March 1-May 2, virtual & in-person @UCBerkeley, with prizes up to $200K+!
Sign up: rdi.berkeley.edu/zkp-web3-ha…
Professor X retweeted
Check out this overview of DEX LP RISK-HEDGE strategy, focusing on the IL perspective and LP as options perspective.
Professor X retweeted
從 Maker DAO 的治理數據中看是否存在黨派鬥爭的學術研究,从历史投票结果可以推论 DAO 可能存在 5 個黨派,某種程度上來說 DAO 可能更會接近多黨民主。雖然能分析出 5 個黨派,但 DAO 可能不會承認,因為承認就等於表示了 DAO 的脆弱性
希望 @see_dao 累積的治理數據也能有學者專家幫忙來分析分析☺️
A recent work on voting behavior analysis for MakerDAO in collaboration with @XiaotongSun6 arxiv.org/abs/2210.11203. Here is the Chinese summary: mp.weixin.qq.com/s/B_wr58-wN… DAO治理中存在“党派斗争”吗?#dao #makerdao
Professor X retweeted
Replying to @coinmamba
I'd recommend increasing your distance from trading/investing circles, and getting closer to the tech and application ecosystem. Learn about ZK-SNARKs, visit a meetup in Latin America, listen to All Core Devs calls and read the notes until you've memorized all the EIP numbers...
Professor X retweeted
Our panel speaker professor Xi Chen, associate professor at NYU Stern @NYUStern
Professor X retweeted
#HKFintechWeek #web3
For those of you interested in pursing a web3 career in Asia
Professor X retweeted
Replying to @Tim_Roughgarden
Professor X retweeted
最近碰到很多理工科学生都说就业越来越卷,随着web2大厂的layoff,我也坚信web3对中国人才的需求会大幅增加。基于此,最近在忙于搭建一个人才市场加成长平台,尤其服务于中国的web3 buidler:bridge Chinese web3 talent with international projects. Stay tuned🥰
Professor X retweeted
Join us Oct 30 @UCBerkeley: rdi.berkeley.edu/zkp-worksho…
An amazing list of speakers:
Shafi Goldwasser @danboneh @Stanford @jbaylina @0xPolygonHermez @1HowardWu @AleoHQ @dlubarov @0xPolygonZero @BruestleJeremy @RiscZero @yezhang1998 @Scroll_ZKP @captain8299 @zkproofs @YupengZhang7
Professor X retweeted
zkbridge.org: the first trustless, permissionless, extensible, efficient cross-chain bridge, using zkp.
Pls fill in the form to join the community @zkcollective building a universal, secure foundation for multi-chain interoperability together:
forms.gle/WBx25gBoMZjXsMTJ8
We are excited to announce zkBridge, the first trustless, permissionless, extensible, and efficient cross-chain bridge. With succinct proofs, zkBridge guarantees strong security without external assumptions. The paper will appear in ACM CCS 2022: zkbridge.org. (1/18)
Professor X retweeted
V神新书《proof of stake》的SBT NFT,刚才发了个必须要MINT原因分析,反响不错,有朋友说不会MINT,就随手写了个教程,点击链接查看傻瓜式教程。二十秒MINT完成
docs.google.com/document/d/1…
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