🚨 To all ML engineers & data scientists in the Pond community:
Less than 10 days left to join our Sybil Detection Competition with Human Passport, Ethereum Foundation and Octant!
💰 $20K in prizes — build, compete, win the prize! https://t.co/dgYJ5Obn7k
<img src="https://static.sosovalue.com/sosovalue/2025/05/22/41f821d8-ebd3-4166-b20c-a838560a548e.jpg"/>

last 10 days for the bot detection challenge with @PondGNN ⏰

Identifying sybil wallets is generally a closed process.

This is a rare opportunity for anyone in the community to create their own sybil identification model, have its effectiveness tested against real data, and win $20,000 in prizes for new innovative approaches!

Here are the details:

1. @0xHolonym & @DappRadar have provided a ground truth dataset of over 10,000 manually labeled wallets with a sybil probability score between 0 and 1.

2. Create your own model assigning a score to these wallets and get tested against their data.

3. Submit a write-up on the @OctantApp forum about the approach your model took to be considered for the $20,000 prize pool.

We are especially on the lookout for LLM or nondeterministic approaches to this challenge 👀