“Hello everyone! My name is Aniket (aka Anipy) and I'm super excited to share my project "Stephan Livera Podcast AI" that I created for the Ai4ALL hackathon. So, you know @Stephan Livera, the host of one of Bitcoin's top podcasts. Well, I was listening to his SLP488 episode, learning about Breez SDK, Greenlight, and all their awesome visions. And guess what? Bam! An idea struck me like lightning! The concept is pretty straightforward - imagine an AI that personifies Stephan Livera and sets up a cool podcast-like environment for users like you and me to have some deep and insightful conversations. It's like a healthy exchange of knowledge and ideas between the "Stephan Livera AI" and us, the guests. And guess what makes it even cooler? At the end of each podcast convo, we publish it on #Nostr, all from a single Nostr account dedicated to the Stephan Livera AI. Pretty neat, right?” Anipy, SLP Podcast AI #Ai4ALL Hackathon
“A chatbot designed exclusively for Bitcoin developers seeking to harness the power of Rust programming. Rust's unmatched safety, performance, and concurrency features make it a perfect fit for Bitcoin projects.” Abubakar Chan, LearnRustAI #Ai4ALL Hackathon
“When logging into the internet today we are essentially logging into Google, Apple, Meta, or Amazon. The web has become controlled by these centralized corporations. Instead of the client/server model that exists on the internet today, what if we shifted to everyone becoming their own server. What if everyone controlled their digital identity and data, then provided it to applications? Instead of the other way around. We built an application that ties all of these technologies together, while bringing in AI and bitcoin.” Anthony DeMattos, Netonomy, #Ai4ALL Hackathon Full Story: Demo: https://www.loom.com/share/cfa7055d63a34ccd81e61f7f9cd1113f?sid=c7839871-dfb3-4c8a-af38-aa938fa88750 image
Viva El Salvador 🇸🇻 View quoted note →
“PetalsLightning is a chatbot interface that uses a Petals swarm (decentralized compute network) for collaborative inference of large language models (LLMs).” kouloumos, PetalsLightning How it works 🚨 1) Contributing servers provide a lightning address 2) User pays per message to the main lightning address of the swarm 3) Petals does some magic to select the best servers and calculates the response 4) The payment gets distributed to the servers involved in the inference #PitchDay #BuildInPublic #Ai4ALL
#NostrHack you've been waiting and finally the date is set! @BOLT🔩FUN​ is going to be announcing the winners for the Design and Build track on Sunday! Set your reminders for April 9 at 10:00 am EST🔔 and tune on their YT channel