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 →
Alex Kolicich no published score: only 2 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.
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q what we called our smart enterprise thesis. There's like a big paper we wrote on it called The Coming Transformation in 2013 about what's happening to the economy, and there's a lot of like echoes between this coming transformation You know, 13 years ago, and like, what's happening in AI right now? But, so Koli, first of all, like, what was the Smart Enterprise thesis, as far as you're concerned?
A Yeah, I think the most succinct way to talk about it was, you know, early on, and you, obviously we saw this at Palantir, uh, was, we thought there would be a transition that happens from old enterprise software to new. And so, enterprise software one point oh, we always thought would be these, Not dumb systems, but they're almost like databases. You know, they're, they are innovative, but you store your data in them for your business. Uh, you're able to retrieve that data in the future. Think of, think of an ERP, think of a CRM. They're organizing, but they don't help you really run your business or make decisions in your business. And so it was revolutionary, but we thought there was more that software could do. And so with the advent of A, the cloud and B, the commoditization of big data, Uh, we thought there'd be a new generation of enterprise software. We called enterprise two point O where with this idea of man machine symbiosis, you'd now have software systems that help you make decisions. And so Palantir was obviously, I think the most quintessential version of that, but we thought there'd be many vertical software companies that would start around this.
AI assessment note: “we thought there would be a transition that happens from old enterprise software to new”
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q what we called our smart enterprise thesis. There's like a big paper we wrote on it called The Coming Transformation in 2013 about what's happening to the economy, and there's a lot of like echoes between this coming transformation You know, 13 years ago, and like, what's happening in AI right now? But, so Koli, first of all, like, what was the Smart Enterprise thesis, as far as you're concerned?
A Yeah, I think the most succinct way to talk about it was, you know, early on, and you, obviously we saw this at Palantir, uh, was, we thought there would be a transition that happens from old enterprise software to new. And so, enterprise software one point oh, we always thought would be these, Not dumb systems, but they're almost like databases. You know, they're, they are innovative, but you store your data in them for your business. Uh, you're able to retrieve that data in the future. Think of, think of an ERP, think of a CRM. They're organizing, but they don't help you really run your business or make decisions in your business. And so it was revolutionary, but we thought there was more that software could do. And so with the advent of A, the cloud and B, the commoditization of big data, Uh, we thought there'd be a new generation of enterprise software. We called enterprise two point O where with this idea of man machine symbiosis, you'd now have software systems that help you make decisions. And so Palantir was obviously, I think the most quintessential version of that, but we thought there'd be many vertical software companies that would start around this.
AI assessment note: “we thought there would be a transition that happens from old enterprise software to new”
