1/ 𝙒𝙚 𝙖𝙧𝙚 𝙫𝙚𝙧𝙮 𝙝𝙖𝙥𝙥𝙮 𝙩𝙤 𝙖𝙣𝙣𝙤𝙪𝙣𝙘𝙚 𝙤𝙪𝙧 $2.5𝙢 𝙥𝙧𝙚-𝙨𝙚𝙚𝙙 𝙛𝙪𝙣𝙙𝙞𝙣𝙜 𝙧𝙤𝙪𝙣𝙙. We’re looking for 1) a DeFi Engineer and 2) a Data Engineer to join our team. More info on our site.

4/ Thank you to @stratosxyz, @maven11capital, @uniswaplabsVC, @_inceptioncap, @hypersphere_, @iosgvc, @thepunkdao, and all our supporters for your invaluable assistance.

3/ 📣 Reach out via DM or through our site if you are interested in the intersection of AI and blockchain, and would like to partner with us.

2/ We have built a powerful platform for training and deploying AI models that can participate autonomously in DeFi on Ethereum and Layer 2s.

8/ Did you enjoy this thread? Connect with us @onaji_AI to learn more about Machine Learning use-cases on smart contract blockchains.

7/ While Minecraft and DeFi differ vastly, VOYAGER's high-level paradigm is compelling: 🧭 Adapt to changing conditions 🧩 Accumulate reusable skills 🔍 Refine code based on feedback 🌐 Leverage language models for coding and reasoning

6/ VOYAGER is powered by a large language model (GPT-4) that it prompts in a clever way to generate plans & code 🤖. Advanced language models could be used as reasoning engines for automated DeFi agents.

5/ Iterative refinement 🔄. VOYAGER writes code, tests it in the environment, fixes errors, and tries again. An AI agent could likewise code strategies, learn from mistakes, and iteratively improve its algorithms in a simulated version of the blockchain.

4/ Skill library 🗃️. VOYAGER stores snippets of code it learns to reuse in new situations. Imagine an AI that incrementally builds a library of DeFi techniques, signals, and execution tactics to deploy adaptively.

3/ Automatic curriculum 📜. VOYAGER proposes its own learning goals based on its current knowledge and progress. Similarly, an AI agent could actively seek novel financial opportunities, "mining" the DeFi space for hidden gems.

2/ Key aspects of VOYAGER: 🎯 Automatic curriculum: Proposes its own learning goals 📚 Skill library: Stores reusable snippets of code 🔄 Iterative refinement: Learns from mistakes & feedback 🧠 Powered by a large language model (GPT-4) to write its own code With these

1/ The VOYAGER paper (Wang et al. 2023) introduces an embodied AI that explores and learns in Minecraft. The core ideas pave the way for new approaches for AI strategies in Decentralized Finance. 🧵 on the surprising parallels:

5/5 - Follow us for more on ML x ETH, and reach out if you'd like to brainstorm together. 🤝

4/5 - There are endless ways to use ML on Ethereum to improve the efficiency of the ecosystem and its dApps. onaji aims to make this as easy as possible.

3/5 - The platform combines high-frequency data, a simulation playground, model management, and on-chain execution infrastructure to make it as easy as possible to build end-to-end ML pipelines and agents on Ethereum.

2/5 - It's designed for building, testing, deploying and monitoring ML models that use Ethereum data. An end-to-end platform for launching intelligent systems on Ethereum.

1/5 - We are happy to introduce the onaji Ethereum Machine Learning Platform [ETH-MLP].

1/8 𝕴𝖓𝖙𝖗𝖔𝖉𝖚𝖈𝖎𝖓𝖌 𝕬𝕴-𝕲𝖊𝖓𝖊𝖗𝖆𝖙𝖊𝖉 𝕮𝖔𝖓𝖙𝖊𝖓𝖙 𝕽𝖊𝖈𝖔𝖒𝖒𝖊𝖓𝖉𝖊𝖗. Exciting News from the Onaji team! 🆕 We are thrilled to announce the release of our next-generation recommender tool tailored specifically for AI-generated content. This isn't just about

@objktcom 8/8 We're already collaborating with leading AI-generated content platforms, helping amplify their growth. If you're looking to be part of this transformative journey and wish to experience the future of content recommendation firsthand, reach out for early access. Learn more

@objktcom 7/8 Finally, platforms have not been left out. 📈 With Onaji's integration, platforms can promise not just safe and tailored browsing experiences but also witness a surge in user retention. At Onaji, our mission transcends technology; it's about crafting bespoke and safe