Dates
Conferences
Tags
Sort by:
Most recent
Conference: Transform X 2022
Authors: Shiva Rajaraman, Vijay Karunamurthy
2022-10-19
tldr - powered by Generative AI
The speaker discusses the challenges of using machine learning to aid in trust and safety features for NFTs on the Opensea platform, while also maintaining engagement with the community and addressing the urgency of the rapidly growing market.
- Opensea is focused on security features and protecting users from copycats in the NFT market
- Machine learning is used to detect copycats at scale, but precision must be narrow to avoid false positives
- Explainability is a key principle in engaging with the community and getting their input on trust and safety initiatives
- There is urgency to make action due to the livelihoods of new creators in the NFT market
- Opensea relies on a heavily human-in-the-loop system to deal with anomalies and expand from there
- NFTs are a container for anything and everything, creating new data problems for Opensea to tackle
Conference: Transform X 2022
Authors: Daniele Perito, Jon Wilfong
2022-10-19
tldr - powered by Generative AI
The speaker reflects on the importance of making the right decisions when building data infrastructure for machine learning and the need for the field of data science to adopt software engineering principles.
- Data infrastructure is sticky and difficult to move away from, so it's important to make the right decisions when building it
- The field of data science and machine learning can benefit from adopting software engineering principles
- Data scientists should be screened for coding skills and encouraged to code into the back-end code base
- Modular, testable, and simple systems are necessary for compounding interest in machine learning work
- The field of machine learning and AI has been heavily seeded from academia, which hasn't always used the best engineering practices