Real-time AI (audio/video in, voice out) on an M3 Pro with Gemma E2B
Related: https://news.ycombinator.com/item?id=47653752
Real-time AI (audio/video in, voice out) on an M3 Pro with Gemma E2B launched on April 5, 2026 with 298 votes, #72 of 21,248 launches that month and more than 99% of that year's launches.
In plain words
This project demonstrates real-time AI processing that takes audio and video input and outputs voice responses, running on an M3 Pro Mac using the Gemma E2B model. It is designed for developers interested in on-device AI inference with multi-modal capabilities. The implementation shows how to perform live audio and video processing with voice generation without relying on cloud services, leveraging the M3 Pro's computational power for real-time performance.
written from the facts on this page · September 2026
From the sources
On-device, real-time multimodal AI with features similar to GPT-Live - fikrikarim/parlor
Fully on-device, real-time multimodal AI, with features similar to GPT-Live . Research preview. This is an early experiment. Expect rough edges and bugs. I'm self-hosting a totally free voice AI on my home server to help people learn speaking English. It has hundreds of monthly active users, and I spent weeks improving it until it's almost on par with ChatGPT Advanced Voice. Then, my heart broke when OpenAI released GPT-Live , which is miles ahead of ChatGPT Advanced Voice. GPT-Live is so good that I use it almost every day. It made my app feel obsolete. I either need to redirect my users to GPT-Live, or update the app to match it. I chose to try, with the additional constraint that it had…from github.com
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