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.
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Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q Um, do we want to start a query so that it runs in the meantime and then we can chat over it?
A Okay, here's one query that, that we, like, we love to test, like, super niche random things, like, things where there's, like, No Wikipedia page already about this topic or something like that, right? Because that's where you'll see the most lift from, from a feature like this. So for this one, I've come, I've come, come up with a square. Uh, this is actually Morgan Square that he's, he loves to test is help me understand how milk and meat regulations differ between the U S and Europe. What's nice is the first step is actually where it puts together a research plan that you can review. And so this is sort of, it's Guide for how it's going to go about and carry out the research, right? And so this was like a pretty decently well-specified query, but like, let's say you came to Gemini and were like, tell me about batteries, right? That query, you could mean so many different things. You might want to know about the like latest innovations in battery tech. You might want to know about like a specific type of battery chemistry. And if we're going to spend like five to even 10 minutes researching something, we want to one, understand what exactly are you trying to Accomplish here. And two, give you an opportunity, like, to steer where the research goes, right? Because, like, if you had an intern and you asked them this question, the first thing they'd do is ask you, like, a bunch o…
AI assessment note: “Okay, here's one query that, that we, like, we love to test”
Answered raw tape
D 5 · C 4 · P 4 · Cm 4 4.30
Q then they are like, okay, it's good. But like, this is a honeymoon phase. Like at some point we're going to say like, okay, but you know, it's very slow. Yeah. Anything else that, like, I mean, obviously within Google, you have a lot of other initiatives. You, I'm sure you, like, sit close to the Noble Gallum team. Any learnings that are coming from shipping AI products in general?
A They're really awesome people. Like, they're really nice, friendly thought, just like, as people, I'm sure you met them, you, like, realize this with Razor and stuff. So, like, they've actually been really, really cool collaborators, or just, like, people to bounce ideas off. I think one thing I found really inspiring is they just picked A problem. And hindsight's twenty-twenty, but, like, in advance, just like, hey, we just want to build, like, the perfect IDE for you to do work and, like, be able to upload documents and ask questions about it and just make that really, really good. And I think we were definitely really inspired by their ability, their vision of just, like, let's pick up a simple problem, really go after it, do it really, really well, and have, be opinionated about how it should work, and just hope that users also resonate with that. And that's definitely something that we tried to learn from. Separately, they've also been really good at, you know, and maybe Morgan, you want to chime in here, just extracting the most out of Gemini 1.5 pro. And they were really friendly about just like sharing the ideas about how to do that.
AI assessment note: “we were definitely really inspired by their ability, their vision of just, like, let's pick up a simple problem”
Partly raw tape
D 3 · C 3 · P 4 · Cm 3 3.25
Q Yeah. So as a PM, there's an open-end Docs button there, right? How do you think about what you're supposed to build in here versus, kind of, it sounds like the condensing and things should be a Google Docs.
A Yeah. BART extensions is different. It's just like an amazing editor. Like, sometimes you just want to direct edit things, and now Google Docs also has Gemini in the side panel. So the more we can kind of help this be part of your workflow throughout the rest of the Google ecosystem, the better, right? Like, And one thing that we've noticed is people really like that button and really like exporting it. It's also a nice way to just save it permanently. And when you do export all the citations, and I can just run it now, carry over, which is also really nice. Gemini Extensions is a different feature. So that is really around Gemini being able to fetch content from other Google services in order to inform the answer. So that was actually the first feature that we both worked on on the team is actually building Um, extensions in Gemini. And so I think right now we have a bunch of different Google apps as well as I think Spotify and, and a couple, I don't know if we have, and Samsung apps as well.
AI assessment note: “sometimes you just want to direct edit things, and now Google Docs also has Gemini”
Not addressed raw tape
D 1 · C 4 · P 4 · Cm 3 2.95
Q To me, this sounds like a much better way to do shopping. They're going on Google shopping and looking at the, the wall of items. How do you collaborate internally to figure out where AI goes?
A Yeah, that's a great question. So when, when I meant like shopping, I, I sort of tried to boil down underneath what exactly is the behavior and that's really around like I called it like options exploration. Like you just want to be able to see and whether you're shopping for summer camps or shopping for a product or shopping for like scholarship opportunities, it's sort of the same action of just like, I need to curate from a large, like I need to sift through a lot of information to curate a bunch of options for me. So that's kind of what we tried to distill down rather than like thinking about it as a vertical. But yeah, Google searches is like awesome if you want to have Really fast answers. You've got high intent for, like, I know exactly what I want, and you want, like, super up-to-date information, right? And I still do kind of like Google Shop because it's, like, multimodal. You see the best prices and stuff like that. I think creating a good shopping experience is hard, especially, like, when you need to look at the thing. If I'm shopping for shoes, and, like, I, I don't want to use deep research because I want to look at how the shoes look, but if I'm shopping for, like, HVAC systems, Great. Like, I don't care how it looks, or I don't even know what it's supposed to look like, and I'm fine using deep research, because I really want to understand the specs, and like, h…
AI assessment note: “when I meant like shopping, I, I sort of tried to boil down”