Katsuya
@kn
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More on our 15+ AI agent workflows, and building for the life sciences industry:
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Thank you to @eladgil and @avichal for their incredible support from day zero. Their advice and help have been instrumental in getting Bluenote off the ground. Excited to partner with @deenashakir at Lux Capital and the incredible investors participating in this round.
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Talking to animals (or babies) using AI is happening fast…
The wildest company pitch I've ever heard? 🤔 I told @katelin_cruse it's gotta be an app that allows us to communicate with babies before they can talk... or even dolphins 👶🐬 And someday, we might actually get there thanks to AI ↓
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Apoorva on how to evaluate businesses as a founder: "The things that I'm looking at are sort of threefold. Number one, is it a good business? Obvious to say as an investor, but you'd be surprised. Number two, is it going to be something I'm going to enjoy doing? I'm going to have fun? And number three, is it a mission that I can get behind? The advice that you normally get is the opposite of that. Oh, is it a good mission? Is it going to be something fun? And is it a good business? Right. But the reality is that if it's not a good business, you're not going to have fun doing it and you're not going to achieve the mission. So you sort of need to sort of reverse it as a founder."
Exciting w @apoorva_mehta, cofounder & original CEO @Instacart Topics *How to parse startup ideas *Early things Instacart did that couldnt scale, got them in business *Hypergrowth at startup & people *Why start another co / act 2 in life? Video:
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Yeah, we haven't done comprehensive benchmark but, anecdotally based on our own observations and user feedback, we do better than off the shelf solutions like Whisper. We take transcription quality seriously as the error cascades to translation. For e.g., off the shelf models often cannot distinguish between "I don't know if you want to" vs. "I don't know, if you want to", which sounds almost the same but they mean completely different.
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"The errors found and commented on, are not enough to hinder the version’s linguistic integrity." - a professional Spanish translator. AI translation is getting really good.
Tested translating an English article to Spanish and had it blindly evaluated by a professional translator. Results: - Google Translate: 70/100 - GPT-4: 85/100 - Zeebra: 95/100 🏆 The key takeaway: Zeebra excels in capturing formality, grammatical gender, cultural references, and overall readability.
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This aligns with my experience in translating from English to Japanese. For instance, translating culturally specific references, such as "Hot Vax Summer," poses a significant challenge for machine translation models. 👇
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