FBI-AGI, running on Jamba, gathered incriminating data of many predators harassing children online. Hackers Alex Sima and Apurva Mishra built FBI-AGI at the recent AGI House Jamba Hackathon. Within minutes of launching Emma’s profile, a fictitious 14-year-old girl, the AI agent received tens of messages from online predators with offensive and inappropriate messages. The #agent then captured the chat data and metadata to identify and incriminate these online predators in real-time. The best part? By leveraging Jamba’s massive 256K #contextwindow, ‘Emma’ ran multiple chats simultaneously, gathering proof of multiple predators at a time. And that’s just one of the many impressive projects made at the Jamba #Hackathon. Check out this blogpost with insights from Yaniv Markovski, our Head of Developer Relations, to read more about the projects built on #Jamba. 👉 https://lnkd.in/djCZFSYc 👇 Enjoy this clip capturing just a taste of the energy at the 12-hour hack
Tamar Rudnick
1mo
Very cool, a 256K context window is really differentiating… fun read
Moe Reich
1mo
Interesting!
Shades of “The Minority Report”!!!!!