A personalised AI tutor with < 1s voice responses
TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice bot, achieving 500ms voice-to-voice response times, including a 200ms delay waiting for a user to stop speaking. After reaching the front page of HN, we thought about how we could take this a step further based on feedback we were getting from the community. Many companies were…
A personalised AI tutor with < 1s voice responses launched on July 24, 2024 with 72 votes, #845 of 5,184 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
This is a voice-enabled AI tutor trained on Andrej Karpathy's YouTube videos, delivering responses in under one second from voice input to voice output. It uses retrieval-augmented generation to answer questions about the content, combining fast inference with real-time processing. The product is designed for students and learners seeking instant explanations on AI and machine learning topics covered in the source material.
written from the facts on this page · September 2026
From the sources
A demo showcasing the potential capabilities of voice-driven AI tutor for educational use-cases with low-latency
In the maker’s words, at launch
TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice…
Does a similar job
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Voice bots with 500ms response times2024 · fastvoiceagent.cerebrium.ai · ▲315Last year when GPT-4 was released I started making lots of little voice + LLM experiments. Voice interfaces are fun; there are several interesting new problem spaces to explore. I'm convinced that voice is going to be a bigger and bigger part of how we all interact with generative AI. But one thing that's hard, today, is building voice bots that respond as quickly as humans do in conversation. A 500ms voice-to-voice response time is just barely possible with today's AI models. You can get down to 500ms if you: host transcription, LLM inference, and voice generation all together in one place;…
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