Call Gen Z GPT 1-650-729-9536 Built with Vocode (YC W23) and Rime TTS
Hey HN! Try calling: +16507299536 to talk to Gen Z GPT. This a quick demo of what you can do with Vocode (open source toolkit for building voice-based LLM applications). We've collaborated with Rime using their text-to-speech for this demo!
Call Gen Z GPT 1-650-729-9536 Built with Vocode (YC W23) and Rime TTS launched on March 28, 2023 with 5 votes, #2,445 of 5,007 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
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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;…
SpeakWake My GPT2024 · play.google.com · ▲62Turn ChatGPT into your assistant and support voice wake-up.
Talk-to-ChatGPT2023 · chromewebstore.google.com · ▲103Talk to ChatGPT through your mic and get a voice response
- TGTRS-GPT – ChatGPT client/server for the TRS-802023 · druid77.github.io · ▲102
Hi there HN community. I'm excited to show my personal project -- an open-source code and hardware approach that connects my 1980's TRS-80 Model III computer to an OpenAI server. The TRS-80 can hold a chat session with OpenAI, and it's all very retro feeling. There were challenges along the way, as the approach to interfacing between ancient hardware and modern software interface wasn't immediately available. Please see https://github.com/druid77/trs-gpt for all the details, and let me know if you have any ideas for improvements. For example, adding support for voice.
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I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
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