How Nous Research used BotID to block automated abuse at scale
An AI lab's open-source model faced automated abuse during a free trial period, with bulk fake accounts bypassing rate limits. This case study demonstrates how stronger bot protection layers are needed to prevent compute waste and fraudulent account creation at scale.
AI lab made Hermes, their open-source language model, free for one week to increase accessibility. Within days, automated scripts overwhelmed the service with fake accounts performing high-volume inference requests across thousands of accounts to bypass rate limits.Nous Research
Despite having Cloudflare Turnstile in place, bulk signups continued. The abuse led to wasted inference compute and inflated identity provider bills. After the promotion ended, Nous realized that before reintroducing any kind of free tier, it needed a stronger layer of bot protection.
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