Filling up DagBags, ctf beginner, money stuff reader

San Francisco, CA
Joined October 2014
Ryan Kopa retweeted
I lead Strategic Finance Foundations at @OpenAI, and I use Codex for everything. It all started with gaining leverage on our hardest monthly finance process ~6 months ago. Now I’m sharing 180 days of lessons on designing better work with AI — for any knowledge worker. The idea behind the series is simple: learn how to design the work. Break the problem into steps, give the right context, and know where human judgment matters. 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟭 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄.
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bloomberg.com/news… Looks like Uber is going after Scale AI's business
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5 things you need to know to start your day was the most consistent thing in my life since 2019
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Maybe a hot take, but I think when perfectly ripe, pears are the best fruit
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Someone asked me to explain the difference between honest mistakes and fraud.
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Me listening to Odd Lots, hearing about how there’s a global shortage of something and there’s nothing we can do about it
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New blog out today: @DuaneJRich and @SameerSManek explain Lyft's Causal Forecasting System, where they answer the question: How do you build a large model which can be used for planning? eng.lyft.com/causal-forecast…
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How’s Uncle Clarence feeling about Overturning Loving v Virginia??!!
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Happy #LovingDay, Madam Vice President! A love like yours and @SecondGentleman is an inspiration to all. Thank you for your amazing example! Can’t wait until this is officially nationally recognized 😉
Today is the anniversary of the Supreme Court’s decision in Loving v. Virginia, which unanimously ruled that bans on interracial marriage are unconstitutional. The @SecondGentleman and I want to wish you all a happy #LovingDay.
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ICYMI I wrote my first newsletter over the weekend. notes.causal.engineering/arc… Still getting the hang of longer form writing, and the newsletter format. I've especially enjoyed the thoughtful responses I've gotten over email. Thanks for subscribing and reading!
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Time for my favourite game: let's figure out which team actually owns the thing that needs changing.
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When @nytimes uses the meme song of your name. First word I think I got instantly
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This is a fun blog post -- so much local structure pops out from ride request pickups and destination data. Great work @ajwchin et al! eng.lyft.com/lyft-and-urban-…
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Wow… this obituary. (In yesterdays NYT. Yes I read the tiny obituaries. That means I get to see amazing stories like this. It’s like micro-nonfiction.)
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Very excited to share some early discussion of how we're using Bayesian Optimization to tune Lyft's marketplace using time-randomized experiments. Much more on the methodology to come! eng.lyft.com/parameter-explo…
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At Lyft we have a special implementation of gradient boosted trees for dealing with spatial data called GeoBoost. Here's how it works! eng.lyft.com/how-and-why-to-…
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