Hello Algoveriansđź‘‹,
Another week has passed in rapid fashion, and brings with it deadline week for OceanDAO Grants. We are working hard to finish up our deliverables and write a new proposal for R14. This round will be much more competitive due to the big dip in the market and significant cutbacks in OceanDAO funding. If you hold Ocean tokens, we would hugely appreciate your support in the upcoming voting. Fingers crossed!
If you prefer your updates in video format, you can check out today’s Town Hall recording.
đź’°Voting for the very first Algovera Grants round came to an end and we announced the results in a short blog post. We had initially planned to fund 5 proposals, but decided to fund 7 for various reasons. In the coming days, we will release another blog to announce the next steps for claiming funds and meet with the successful teams. This will bring the number of funded AI Squads within the Algovera ecosystem to 8 in total! We are very excited to announce the successful projects:
👩‍⚕️We received a total of 23 applications for Algovera Freelance roles in our partnership with nCight. In case you missed it, you can read the blog post announcement for the project here. The next steps are to select winning applicants, and start development work on the project. Unsuccessful applicants will still be able to take part and win a prize of $500 for achieving the highest-performing model during an Algovera Tournament for the project. Clearly, there is huge demand for independent data science work. For this reason, we’re working hard to build more partnerships and introduce new opportunities in the coming months.
🕵️‍♂️We’re delighted to have kicked off hacking sessions for developing a Face Anonymization algorithm with Robin and DataUnion. These hacking sessions will take place weekly on Fridays from 11.30-12 UTC (now in our calendar). You can watch the recording of the first week here. The slides he presented can be view here.
💸The hacking sessions for developing a Predictive Model for Borrowing Cost of DeFi Protocols are progressing nicely. Arshy and Jakub have been working async to implement a new model using the PyTorch Forecasting library, and we are now getting more realistic performance on the task. During this week’s meeting, Christian walked us through Dune Analytics in more detail and explained how it's different from The Graph. You can watch the recording here. The plan for this week is a deeper dive into the PyTorch Forecasting library.
đź—„The Storage Pod met again and mostly discussed plans for submitting grants proposals to Filecoin, Radicle and Streamr. We also made contact and hope to meet with the creators of a popular open source library that provides a pythonic interface to storage called fsspec with the hope that we can collaborate on extending it for decentralized storage.
đź›’The Marketplace Pod of Maria, Jakub and Richard held its first alignment session with the whole team meeting together for the first time. We decided to map out the structure of some open source apps such as Ocean Marketplace, Aragon and Gnosis and how we might combine the components we need in the Algovera Marketplace. Development progress was made during the remainder of the week with forking and re-branding of the Ocean marketplace.
🤖The Tokenomics Pod met and discussed wide-ranging considerations around funding mechanisms for AI Projects.
🏗The Core Development Pod is wrapping up the first development sprint. During Sprint #1, Jakub and Keaton worked to integrate Metamask to Jupyterlab making it easier for data scientists to interface with Web3. This repo contains the code for the extension. The extension will be published to PyPi soon. The Pod met to plan Sprint #2 and decided to split into 2 sub-teams. One will focus on further development of the data science workflow for Algovera, while the other will focus on smart contracts for Algovera Squads.
🏆Congratulations to Prakash, Dyllan, Arshy, Nassim & Pushkar for being the top 5 contributors according to SourceCred.
Here are some interesting links that were shared in the community this week.
🎙Podcast with Tristan Harris and Daniel Schmatenberger discussing the dangers of decentralized tech (including AI) with a few suggestions for how AI itself (and blockchain) can help.
🧫YouTube video of Daniel Schmatenberger on cooperation of complex systems. How can AI agents (Algovera Squads) form a collective (similar to biological systems) and play positive-sum games?