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Dan Luu
@danluu
, 4 tweets, 4 min read Read on Twitter
Google has a new API that tells you how "toxic" text is, h/t @taoeffect

perspectiveapi.com
It's 🤣 to poke around and see what biases the system picked up from the training data. 😰 to think about actual applications, though.
Maybe it's not fair to try single words when the model is designed for use on comments, so let's try things that could be entire comments 😇
Looks like this (or something like it) made it into production?

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Dan Luu
@danluu
An empirical study on the effect of open offices: "the volume of face-to-face interactions decreased significantly (approx. 70%)"

rstb.royalsocietypublishing.org/content/royptb…
Unfortunately, it's hard to tell what's going on from the text of the study.

In "Study 1", they got 52 people from a floor with people in "technology, sales and pricing, human resources (HR), finance, and product development, as well as the top leadership"
These are really different things and one might expect different results. perhaps even directionally different results, depending on the composition, but the actual composition isn't mentioned at all (nor is the idea that it might matter).
Read 5 tweets
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Dan Luu
@danluu
Developer hiring and the market for lemons

danluu.com/hiring-lemons/
I've thought about this @holman tweet at least once a week since last July.

Even when I've worked on things that are considered relatively hard (e.g., an algorithm that won best paper award at a top conf), the work hasn't been interview-style hard.

To the extent that things are hard, it's been stuff like:

Your TL thinks version control and automated tests are a waste of time. How do you convince them otherwise?

Your team has 75% turnover in well under a year for... reasons. How do you stay productive?
Read 4 tweets

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