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 →

RJ Scaringe no published score: only 1 usable exchange 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.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q How did you decide that this was going to be an in-house effort versus a partner effort? That given most people who made cars said we're going to go partner or buy something here.

A I guess the emotional slash philosophical is on things that are really important, we've taken the approach of vertically integrating them. So electronics, our software, all the high voltage systems in the vehicle, so things like motors, inverters, Uh, all the power electronics. These are all things we, we develop and build in house. And in a few cases, you know, we had to start with something that was either off the shelf or partially off the shelf, but today, all of that's completely in house. And in the case of self-driving, we knew that long-term it needed to be something that was developed internally. We started, as I said, with a mobilize centric solution, which a lot of folks did. Right. Particularly in like, you know, that 2015 to 2021 timeframe. But when you really look at what's necessary to, to be successful, In a neural net based approach, there's a core set of ingredients that very few people have, and I think we uniquely have them. So first and foremost, you need to have complete control of the perception platforms. You have all the, everything that the, the, the system is capable of observing, whether that's cameras, radars, or lidars, or some combination of all three, you need to control that, meaning there's no intermediary company that's like processing some of their information. And so that's powerful because you can then Feed raw signals into your system. The…

AI assessment note: “on things that are really important, we've taken the approach of vertically integrating them.”

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