The Numerai founder joined host Jamie Burke on Outlier Ventures’ Founders of Web3 podcast to talk about the company and why he wants to create “the last hedge fund” using the hardest data science tournament in the world.
Richard and Jamie also discuss being a founder, crowdsourcing equities trading models, and the potential of AI and blockchain in open data marketplaces.
Numerai community member Bouwe Ceunen independently created a mobile app for tournament participants to track their model performance.
Connecting the app to your models via the Numerai API keys gives data scientists a consolidated view of each model’s performance displayed along with pending payout information.
Blockchain educator Ian LeViness published a thoughtful breakdown of how the Erasure protocol and Erasure Bay can improve the state of freelance work.
Ian’s piece explores how traditional freelance markets rely heavily around reputation which can easily be gamed and how platforms like Upwork tilt the balance of power heavily towards the buyer. Erasure Bay, he argues, overcomes these challenges using Erasure’s staking features.
Skin in the game imposes balance between buyers and sellers, incentivizing both parties to behave honorably. The griefing mechanism allows for punishing bad actors, creating a permanent, immutable track record that serves as a transparent reputation metric.
Keras is an open-source neural network library written in Python, making it a popular entry point for data scientists looking to work with tools like TensorFlow.
Longtime tournament participant Keno (models: traveler, wander) wanted to experiment with Keras and TensorFlow in effort to create a new, more unique model. In doing so, he put together a Keras tutorial that also serves as a crash course for competing in the Numerai tournament.
The data science aficionados at Omni Analytics Group contributed to Spencer Noon’s popular on-chain metrics focused newsletter, Our Network.
Read the full issue here:
Chart and statistics provided by DeFi Pulse.