Joined January 2018
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Utility of $CTXC 🌊Wash-trading detectors in #DEX 🧬Provable biometric IDs. 🌐AI Oracles which can verify off-chain world data. Like steps, health data, environmental data, etc. ⚒️AI competitions. People can commit their model on-chain 🧵Thread👇
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Cortex Labs retweeted
Guess the player #3 (try not asking AI) Win 5 $USDT: 1⃣ Follow @MEXCTrueNorth 2⃣ Like & RT 3⃣ Comment your answer MEXC UID 4⃣ Join t.me/MEXC_TrueNorth 72h⏰ 5 random winners
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Cortex Labs retweeted
🇨🇦 Canada vs Bosnia and Herzegovina 🇧🇦 – June 13. What will be the final score? WIN 20 USDT 1️⃣ Join our Telegram 👉 t.me/MEXC_TrueNorth 2️⃣ Send your prediction in the group with the tag: #PredictFIFA2026 CA vs B&H 2-1 MEXC UID (replace with your score) 3 closest guess
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Cortex Labs retweeted
🇨🇦 Where are all my Canadian crypto folks? Let’s connect. Share your go-to trading setup or favourite coin right now 👇 🍁 Whether you're HODLing, stacking, or trading 0-fee on MEXC — let’s build the True North community together. Drop a comment, follow back, let’s network.
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Cortex Labs retweeted
Guess the player #2 🇫🇷🐢⚡🔥 True or false? He won a World Cup. How to enter: 1️⃣ Follow @MEXCTrueNorth 2️⃣ Like & RT 3️⃣ Comment your answer MEXC UID 🏆5x5 USDT random ends in 72h No account yet? Sign up MEXC: mexc.com/register?inviteCode…
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RT @MEXCTrueNorth: 🥇 Race to Zero is back – and this time it’s $GOLD. Win a 2,000g gold bar in just 8 seconds per round. May 12 – 29, 202…
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1/Over the past 6 months, Cortex has been building the foundation for Verifiable AI. What we've achieved: ✅ Unified TVM & PyTorch frontends in MRT ✅ Advanced our ZKP/ ZKML research with EZKL, Taiko ✅ Built a deterministic runtime for verifiable inference
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2/Where we're headed: ➡️ Full LLM support ➡️ MRT lower architecture refactor in 2026 ➡️ Next-gen CPU/GPU runtime upgrades We're bridging AI and Web3 to create trustworthy, transparent intelligence.
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3/Read full Cortex Half-Year Summary👇 medium.com/@CTXCBlockchain/c…
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🛠 Cortex Full Node Updates – #131 🛠 New fixes, optimizations, and a fresh stable release 1.10.63 are here! Let’s break it down 👇 1/ P2P Enhancements 🌐 Discovery startup error handling improved (github.com/CortexFoundation/…) Configurable discv5 response timeout for better network stability (github.com/CortexFoundation/…) Unused parameters removed in revalidationList for efficiency (github.com/CortexFoundation/…) 2/ Performance & Stability Tweaks ⚙️ Flush offset introduced in the freezer (github.com/CortexFoundation/…) Fixed marshaling of NAT in TOML (Fix (github.com/CortexFoundation/…) Skip setting flushOffset in read-only mode for optimized disk usage (Commit (github.com/CortexFoundation/…) 3/ VM & Gas Optimizations 🚀 Intrinsic gas fix with bytes count for better gas computation (github.com/CortexFoundation/…) Updated VM contract specifications (github.com/CortexFoundation/…) 🔥 Cortex Full Node v1.10.63 Stable is now LIVE! Check it out: 🔗 Release Notes (github.com/CortexFoundation/…)
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3/ 🌐 Cortex Full Node Updates New releases: 1.10.63 unstable github.com/CortexFoundation/… 1.10.62 stable github.com/CortexFoundation/… Key improvements: Faster memory writes. DNS resolution for static nodes. Fixed encoding/decoding bugs.
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4/ 🧠 What’s next? We’re pushing forward with decompilation tools, ZK circuit optimizations, and expanding our node features. Stay tuned for more updates! 🌟 🔗 Dive deeper into our progress: github.com/CortexFoundation/…
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2/ ⚡ ZkRollup Progress VM Cycle circuit implementation passed testing & ready for merge. 🎯 Updated scheduling logic: smooth, efficient, and almost complete. 🔄 Researched high-performance ZKVM code with unified execution interfaces and performance boosts. 💻 AWS migration completed for critical services like ZkMatrix, NFT platforms, and more!🌐
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Here’s what we’ve been working on last month in #OPML, #ZkRollup, and Full Node Development. 🛠 🧵👇
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1/ OPML Development -Enhanced memory handling to prevent overwriting during compilation. ✅ -Successfully parsed startup.s, modified page_size, and recompiled. 🔧 -Integrated Unicorn with the Gapstone decompiler & debugged using Capstone 4.0.2. 🦄 -30% instruction parsing success in Optimism assembly. 🔍
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🔻Cortex Project Updates #129 #OPML 1. Parse the PC instructions executed by cvm-runtime mips and obtain binary code; 2. Research and debug capstone decompilation procedure and no-memory overflow segmentation fault; 3. Use c compilation and execution to test golang code; 4. measure c compile flag: softFloat, hardFloat, -O3, -mfp32, etc. And analysis readelf file for cannon; 5. Analyze and compare segment headers; 6. Research FHE releated project and technique; #ZkRollup 1. add all the lookup tables used in the main VM circuit; 2. init the bootloader state; 3. add the register**,** add the witness oracle; 4. Refresh the state before each op execution: create a draft candidate for next VM state; 2. Implement the op circuit: impl add & sub opcode circuit**, **add the binop circuit**, **noop op circuit; 3. Basically complete the logic of all VM OPs (except for the ret part), test and merge into the cycle running circuit; 4. Study and merge the latest upstream code (some warehouse public archives, integrated), and prepare to gradually cherry pick the commits into the new fork integration library; #CortexNode 1. transaction index independent & fix(github.com/CortexFoundation/…); 2. replace custom logic with bytes.HasPrefix(github.com/CortexFoundation/…); 3. release 1.10.62 unstable(github.com/CortexFoundation/…); 4. release 1.10.61 stable(github.com/CortexFoundation/…); 5. chore: remove redundant words in comment(github.com/CortexFoundation/…);
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🚀 Cortex Project Updates #128 #OPML 1. Solved issues with Unicorn executing cvm: - Recompiled MIPS dynamic libraries and ELF executable. - Mapped file system to specific memory addresses. 2. Developed program test steps, rewrote compilation script, parsed C results from ELF file. 3. Deployed cvm-runtime to MLVM Unicorn for execution, obtaining checkpoint_final and investigating specific instructions. #ZkRollup 1. Implemented input across all circuits. 2. Used grand products for queue equality proof. 3. Sorted & deduplicated code decommit requests; added code decompressor for memory unpacking. 4. Processed log queue into specific queues, sorting L1Message logs and storage requests. 5. Built circuit for main VM. #CortexFullNode 1. Optimized prefetcher heap escape github.com/CortexFoundation/… 2. Reduced unnecessary JS bigint compilations github.com/CortexFoundation/… 3. Simplified MaxUint64 github.com/CortexFoundation/… 4. Fixed missing state when num is zero github.com/CortexFoundation/… 5. Restructured dependencies on header github.com/CortexFoundation/…
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Dear #CoinMarketCap, we would like to register one cortexlabs.ai emails to manage Cortex's self-reporting dashboard on CoinMarketCap.

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1/🚀 Cortex Project Updates #127🚀 #OPML 1️⃣ Completed MIPS instruction set compilation for cvm-runtime & implemented the test model. 2️⃣ Fixed MIPS dynamic library loading & adapted to tensor/data types of MLVM. 3️⃣ Modified memory layout & adjusted model reading format to struct weights; implemented data reading/writing logic for specific memory addresses. 4️⃣ Adapted cvm-runtime model inference to support step functions. 5️⃣ Added the Unicorn debug tool.
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2/#ZkRollup 1️⃣ Implemented execution for precompiles & removed static assertions. 2️⃣ Input implementation completed for all circuits. 3️⃣ Used grand products to prove queue equality. 4️⃣ Sorted & deduplicated code decommit requests, added a code decompressor to unpack code into memory. 5️⃣ Investigated & optimized Plonky3 compilation and runtime speeds. 6️⃣ Researched FAST-VM & naive VM execution results, modified VM OP execution process.
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3/Cortex Full Node 1️⃣ Removed unused parameter 2️⃣ Added config option to disable FINDNODE liveness check 3️⃣ Fixed minor issues in state DB snaps 4️⃣ Fixed flaky tests writing to test.log after completion 5️⃣ Added snapshots to state database Stay tuned for more updates! 💻🔧 #Cortex #Blockchain #AI #ZkRollup #CortexDev
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