Top Tweets for #OpML
Mira has no adversarial dispute layer. No challenge rounds like Arbitrum.
Should decentralized AI include permissionless challenge mechanisms?
📌 #AIxCrypto #FraudProofs #MiraNetwork #opML
Heading to #ETHLisbon? 🧠🔐
@extropyLaurence will be there talking zkML, opML, and tools for building private ML onchain—and judging the hackathon too 👀
Mark your calendars: May 9–11
#zeroknowledge #zkML #opML #MachineLearning #hackathon
Catch @extropyLaurence from @Extropy at EthLisbon! He's covering zkML, opML, and the tools devs can use to build private ML apps onchain.
And he’ll be one of the judges 👀
Builders, make sure you’re in the room.
🔻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(https://t.co/UMxDbBMYtE);
2. replace custom logic with bytes.HasPrefix(https://t.co/0FEcK5SLO0);
3. release 1.10.62 unstable(https://t.co/WeWaSeoN44);
4. release 1.10.61 stable(https://t.co/FOgJf3hK3K);
5. chore: remove redundant words in comment(https://t.co/BKRenq0YXW);
Explore #NotebookLM-generated podcasts (including this week’s #newsletter) via our #RSS, #Atom, and #OPML feed processing #AI Agent.
https://t.co/dgt6MBBXr9 -- static.
https://t.co/jqMxHBRCBK -- animated
You can query underlying #KnowledgeGraph via natural language or #SPARQL.
🚀 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
https://t.co/BeXBq0Iv5x
2. Reduced unnecessary JS bigint compilations
https://t.co/LTOElTS3lj
3. Simplified MaxUint64
https://t.co/55MiFR2kOw
4. Fixed missing state when num is zero
https://t.co/XW1MKm8XJm
5. Restructured dependencies on header
https://t.co/F7TGy5loHM
@davewiner @datasniff @om @OpenLink Shared session for some of my #RSS reading sessions from earlier today via the #ChatGPT native UI.
https://t.co/drCkZe3u4r
Note, this is powered by the #OPML and RSS Reader Assistant created and described in this thread. Note, this also supports #Atom.
#AI #UseCase #GenAI
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.
I can use our (@OpenLink) #RSS & #OPML AI Assistant to track posts from this and other sites. The AI Assistant itself is created declaratively—no imperative coding needed!
https://t.co/0j5OX9sEEO -- animated.
https://t.co/0j5OX9sEEO -- static page.
#SmartAgent #UseCase #GenAI
Congrats @DigEconLab on the launch of The Digitalist Papers, a collection of essays exploring AI and digital technologies' impact on U.S. society and democracy.
@gregbeato and I dive into why it's so important to prioritize broad hands-on access to AI tools that users can experiment with in self-determining ways.
https://t.co/kQfAodbMmP
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