This is a transcript generated by OpenAI Whisper. Please summarize it in 10 sentences: "- Yeah.
- Okay, so today I'm going to be presenting WhisperScript.
And before I get started, I'll just tell you a bit about who we are.
I'm NAME_1, I'm based in Berlin, and together with my co-founder, NAME_2, we are WhisperScript, or we're NAME_3, and we developed a NAME_4 application called WhisperScript.
And WhisperScript basically identifies the problem, or we identify the problem.
We identify the problem that transcription is expensive, it's time consuming, and it's tedious to produce, but once you have it, it's really, really useful and invaluable to have.
So we basically wanted to make transcription as easy as possible, but using open source and state of the art AI models.
And one of the things that we thought about-- oh, man.
[SPEAKING GERMAN]
One of the things that, so the solution that we came up with was to make transcription as easy as possible using open source state of the art AI models.
We basically wanted to make a search engine for speech content.
And we ended up building a tool that supports offline access over 100 languages, transcription and translation to English.
exporting as subtitles, text or audio, inputting prompts to control the output and batch processing.
And this is our tech stack here. We are based on Electron and a Node.js backend.
and we use Gumroad for our sales and payment processing and we are developing a large language model which we are still to be integrated right now.
But for summarization and translation and diarization as well.
But today I wanted to talk a little bit more about whisper, and some of the risks and challenges for working with open source AI. But one of the things that we noticed, or one of the things that we that I wanted to talk about here is kind of the power of interfaces, because a lot of the tools that are a lot of the powerful AI models out there right now are open source and exist in a world that is only accessible to developers.
And there's a huge power and a huge potential in building accessibility tools for non-developers to access these powerful models.
Here we can see kind of the interest in GPT 3.5, which is the large language model that powers chat GPT. For it was released basically six months before anyone really took notice of it. And the reason why people took notice of it was because the interface made it easy for everyday users to access. And following a model like this has allowed us to maintain the interface consistency, basically keeping the f