The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Justin Shum no published score: no usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q How do you know what opening AI is going to release six months from now? What if they release this product? You have no way to know that.

A Well, you can kind of understand where LLMs are going to go. Um, firstly, you know, it's, it's, it's, you know, text-based, like simple stuff, and then now they're getting to multimodal. So, you know, video, audio, um, and then you can kind of like trace where, what, what type of different things you're going to be able to do with the LLMs for those different types of formats. Um, but for us, we looked at the big picture and we realized, yeah, you're right. We don't know what they're going to release. It's going to disrupt a lot of startups. But everything is going to be chat-based and conversational-based, and so what we're actually building is a platform that's really easy for anybody to get into, to start using and finding value with LLMs without having to prompt. So we're designed, it comes down to design principles, and we see a promptless future. You shouldn't have to converse with your machines in order for them to extract value from them. And I'm taking these learnings from the chatbot era, right? I built in the chatbot era. As you know, chatbot went through a huge, Chatbots went through a huge hype cycle, and then they fell off because they just sucked. Yes, chatbots are a lot more intelligent now, but you probably have experienced the ChatGPT. You understand that prompting, um, the slightest changes, uh, variations will result in a completely, you know, different outc…

AI assessment note: “we realized, yeah, you're right. We don't know what they're going to release.”

Answered produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q What cap did you negotiate or was it, or was it an uncapped convertible note?

A It's capped, yes. Um, I don't, I don't, I don't want to get into too many details, but I will share that we did raise, like, we're probably in the top 10% in terms of valuations and terms. Um, we came out of a, um, a program called Entrepreneur First. Not sure if you're familiar with them. That's where I actually met my co-founders this time around. Um, and their terms were, like, 10% for, like, 200,000. Uh, not the, not the greatest. And so we actually, um, We actually, um, didn't go through with that, with that, uh, term sheet. Um, we actually decided to hit the market, um, the open market, and we secured, um, the 500 at five percent, um, instead of the 10%. So much more favorable.

AI assessment note: “It's capped, yes... we secured, um, the 500 at five percent”

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